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Atlassian offers flexible work locations—office, home, or a hybrid—giving employees more control to support family and personal goals. They hire in any country where the company has a legal entity. The role is an Enterprise solution seller focused on Strategy Collection and JPD, working with C-level executives to drive new business and expansion. Responsibilities include exceeding bookings and OKRs, developing strategic plans for land-and-expand across AMER/APAC, closing complex six- to seven-figure SaaS deals, building strong CXO relationships, partnering with AEs, SEs, Advisory Services, SDRs, and channel partners, and delivering forecasts while tracking markets and competition. Qualifications require 12+ years of enterprise SaaS sales, expertise in Strategic Portfolio Management, PPM, ERP, or CRM, a proven track record of meeting targets, CXO relationship leadership, collaboration with teams, and a BS/MS in business or IT.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity. The Atlassian Advisory Services team is globally distributed and helps large strategic and enterprise customers realize value from Atlassian products through trusted advisory support. The company is hiring a non-managerial Solution Consultant for the Public Sector advisory team to deliver strategic technical guidance and drive value realization for clients who purchase Advisory Services. Responsibilities include aligning with peers to achieve strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, creating prescriptive guidance, and traveling up to 30% for internal and customer events. Requirements include 4-6 years in SaaS, 2+ years in customer-facing roles, expertise in the Data Center platform and Teamwork Foundations, Atlassian tooling experience, English fluency (additional languages helpful), and nice-to-haves such as time zone alignment, cross-team collaboration, and experience with large customers in consulting or technical roles.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid setup. This flexibility gives Atlassians more control to support their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity, enabling global recruitment. The text includes a placeholder indicating where a job description would be inserted. Overall, the message emphasizes flexible work arrangements and international hiring capabilities.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder indicating that a job description will be inserted. Overall, the message emphasizes flexible work arrangements and a global hiring reach.

Atlassians can choose where they work, whether in an office, from home, or a combination of the two. This arrangement gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, the message highlights flexible work options and global hiring capability.

Atlassian is hiring a Senior Product Marketing Manager to own the go-to-market for the developer platform, with primary responsibility for Forge and the broader developer GTM, in a hybrid Product Marketing + Developer GTM role. The role involves shaping the technical story for developer-facing products, translating complex capabilities into developer value, and building GTM motions that drive awareness, activation, and adoption, with immediate priority on TEAM for Builders, Atlassian’s Tier 1 developer event. You’ll own developer platform positioning and collaborate with Product and Engineering to translate capabilities into value, while leading GTM across launches, events, advocacy, community, and growth programs, including managing AWS MDF investments to amplify the strategy. You should have 7+ years of experience in product/developer marketing or related fields, with a track record marketing technical products, strong storytelling, cross-functional leadership, and the ability to operate strategically and execute. In the first year, success means making TEAM for Builders a defining developer moment, establishing a cohesive developer platform narrative, and becoming a trusted partner to Product and Engineering, while Atlassian offers flexible work location options globally.

Atlassian offers flexibility in where you work (office, home, or hybrid) and hires from anywhere with a legal entity. The Senior Principal Product Manager for Atlassian Government Cloud — Restricted Environments will own the product vision, strategy, and delivery for cloud offerings serving the U.S. Intelligence Community, Department of Defense, and mission partners, including IL6+ and TS//SCI deployments. This zero-to-one role translates national security mission needs into a roadmap, drives execution across engineering, security, compliance, legal, and go-to-market teams, and serves as a primary product voice to customers in classified settings while mentoring others on the AGC team. Key responsibilities include defining multi-year roadmaps aligned with accreditation frameworks (e.g., NIST 800-53, CNSSI 1253, ICD 503, DoD standards), leading design partnerships with flagship customers, planning for disconnected/offline operations and varied operating models, shaping pricing/packaging, and representing Atlassian in the intelligence and defense ecosystem. Requirements include active TS//SCI clearance, 8+ years of product management delivering cloud/SaaS to IC/DoD or defense customers, experience with IL5/IL6/Top Secret environments and air-gapped deployments, strong cross-functional collaboration skills, U.S. citizenship, and preferred federal procurement experience.

Atlassian supports flexible work locations and hires in any country where the company has a legal entity. The future team is the Search Platform, responsible for powering Rovo Search and making Atlassian knowledge across internal and external apps searchable securely, reliably, and at an insanely fast, globally scalable, cost-efficient, enterprise-grade search infrastructure. As the technical lead for Search Serving, you will set its long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML where it meaningfully improves the search experience. Responsibilities include designing high-quality agentic search systems, establishing the long-term architecture for online retrieval and ML inference, turning advances in information retrieval and ML into production systems with rigorous evaluation, experimentation, and safe rollout, and advancing production inference for embedding, retrieval, and ranking models through batching, quantization, distillation, compilation, and hardware-aware optimization. You will lead cross-team initiatives, mentor senior engineers, align technical and product leaders around long-term direction, and elevate the team's and platform's maturity toward best-in-class agentic development practices to accelerate innovation.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. The Search Platform team powers Rovo Search and enterprise data search across Atlassian and external apps, with a mission to make knowledge securely, quickly, and scalably searchable through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the search experience. Responsibilities include designing and building high-quality agentic search systems, setting the architecture and roadmap for online retrieval, index serving, query processing, and ML inference, and turning advances in IR and ML into production through rigorous evaluation, experimentation, and safe rollout practices. They will also drive production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading cross-team initiatives, mentoring engineers, and elevating team and platform maturity to accelerate innovation.

At Atlassian, employees can work from the office, from home, or a mix, and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search, enabling secure, fast, scalable knowledge discovery across Atlassian and external apps. As the technical lead for Search Serving, you will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing and building high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture and roadmap for online retrieval, index serving, query processing, and ML inference, while turning advances in IR and ML into production through rigorous evaluation and incremental adoption. You will advance production inference for embedding, retrieval, and ranking models through techniques such as batching, quantization, distillation, compilation, and hardware-aware optimization, lead cross-team initiatives, mentor engineers, and raise platform maturity to accelerate innovation.

Atlassians can choose office, remote, or hybrid work, giving them flexibility to support family, personal goals, and other priorities, and the company hires people in any country where it has a legal entity. The future team is the Search Platform, which powers Rovo Search and knowledge discovery for humans and agents across Atlassian’s enterprise data, including external apps. Its mission is to make all customers’ knowledge searchable securely, quickly, and at scale through an insanely fast, globally scalable, cost-efficient enterprise-grade search infrastructure. As the technical lead for Search Serving, you will set the long-term technical direction and be accountable for end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product on applying ML capabilities. Your responsibilities include designing high-quality agentic search systems, defining architecture for online retrieval, index serving, and ML inference; turning advances in information retrieval and machine learning into production systems through evaluation and safe rollout; advancing production inference with techniques like batching and quantization; and leading cross-team initiatives, mentoring engineers, and maturing the platform to accelerate innovation.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where we have a legal entity, enabling Atlassians to balance family, personal goals, and other priorities. The Search Platform mission is to power world-class, trusted cross-product knowledge search and discovery for people and agents across all Atlassian surfaces, with agentic search pushing AI context-search boundaries. This role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale and set the department’s technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval architectures, inference pipelines, serving infrastructure), driving measurable improvements, pursuing moonshots, and leading end-to-end model optimisation (quantisation, distillation, batching, hardware-aware inference). It also involves defining ML systems standards (evaluation, shadow traffic testing, rollout safety, production observability), mentoring senior engineers, and partnering across teams to align roadmaps and translate ambiguous problems into clear, measurable technical bets.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. The Search Platform aims to power trusted cross-product knowledge search for people and agents across Atlassian surfaces, with agentic search pushing to redefine context search for AI. The role will lead the search and ML architecture to optimize search quality, latency, cost, and reliability at scale and set the department’s technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval, pipelines, and serving infra), driving improvements through experiments, pursuing high-impact moonshots, end-to-end model optimization, and enforcing ML system standards. It also involves mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams to align roadmaps, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassians can work anywhere—office, home, or a hybrid arrangement—and Atlassian hires globally wherever they have a legal entity. The Search Platform’s mission is to power trusted cross-product knowledge search for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of AI context search. The role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale and set the technical direction for the department. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval architectures, inference pipelines, and serving infrastructure), driving measurable improvements through rigorous experimentation, pursuing moonshots, leading end-to-end model optimization, defining ML standards, mentoring engineers, and partnering across teams to align roadmaps. It also requires translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian supports flexible work locations—office, home, or a hybrid—so employees can balance family and personal priorities, and hires can occur in any country where the company has a legal entity. The Search Platform aims to power trusted cross-product knowledge search and discovery for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of what today’s search systems can do and redefining context search for AI. The role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale, and will set the department’s technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval architectures, inference pipelines, and serving infra), driving improvements through rigorous experimentation, pursuing moonshots, leading end-to-end model optimization, and defining ML systems standards while mentoring senior engineers. It also requires partnering across teams to align roadmaps and unblock high-impact work, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity. The Search Platform’s mission is to power trusted cross-product knowledge search for people and agents across Atlassian surfaces, with agentic search aiming to redefine AI context search. The role leads the search and ML architecture that drives quality, latency, cost, and reliability at scale and sets the department’s technical direction. Responsibilities include setting ML-based search direction (ranking models, retrieval, inference pipelines, and serving infrastructure), driving measurable improvements through experiments, pursuing ambitious moonshots, and end-to-end model optimization. It also involves defining ML system standards, mentoring engineers, and partnering with Search Quality, ML Platform, and product teams to align roadmaps, unblock work, and translate ambiguous problems into measurable technical bets.

Atlassian provides flexible work options (office, remote, or hybrid) and hires globally wherever there is a legal entity, enabling employees to support family and personal goals. The Rovo Experiences & Growth organization creates customer-facing AI experiences through Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, delivering trusted, consistent AI experiences across web, mobile, desktop, and browser extensions to support Rovo in daily work. The role leads technical strategy and architecture across Rovo components, ensuring scalability, reliability, security, and cohesion, and shapes the convergence of Search and Chat with shared patterns for information retrieval, contextual understanding, multi-step interactions, and action. It drives development of reusable foundations across Atlassian products and third-party tools, reduces fragmentation, enables rapid experimentation, personalization, measurement, and continuous improvement, and partners with product, design, data science, machine learning, and engineering leaders to define a high-impact roadmap. The position also leads cross-organizational initiatives, standardizes AI development and deployment into scalable, composable, repeatable approaches, raises quality and operational excellence, and mentors senior engineers to foster technical excellence, inclusive collaboration, and continuous learning.

At Atlassian, employees can work from anywhere and the company can hire in any country with a legal entity. The way knowledge is used at work is changing, with AI agents needing to understand goals, decide how to search, reason across sources, assemble trustworthy context, and take action, all enabled by a context layer across Atlassian and the broader enterprise ecosystem. The team operates at the intersection of information retrieval, machine learning, LLMs, agentic systems, and large-scale distributed systems, tackling problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure. If you’re excited about defining what search looks like in the agent era, this is an opportunity to work on problems where many of the best solutions are yet to be invented. You’ll help build systems that enable AI agents to discover information, reason over enterprise knowledge, and choose the right capabilities, across areas such as Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all while navigating enterprise-scale constraints like permissions, freshness, latency, trust, heterogeneous data, and multi-tenant environments.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform team will own the design, development, and production deployment of ML systems powering search across Atlassian products like Jira, Confluence, and Rovo. Responsibilities include designing scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search), delivering ML components end-to-end across regions and tenants, and meeting strict SLO targets for availability, latency, and relevance. The role also covers ML model development and serving (neural rankers, embeddings, reranking), integrating models with serving frameworks such as Triton and PyTorch, collaborating with researchers, and building agentic/RAG-focused retrieval systems with partners like Rovo and AI platform teams. Additional focus areas include operational excellence and cost discipline (observability, FinOps, on-call, capacity planning) and cross-functional collaboration (mentoring, design reviews, roadmaps, and team OKRs).

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform owns the design, development, and production deployment of ML systems that power search experiences across Jira, Confluence, and Rovo. Responsibilities include building scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end from experimentation to production across multiple regions and tenants, with high throughput, low latency, and strict SLO targets. The role also focuses on ML model development and serving (neural rankers, embedding models, reranking) integrated into serving frameworks like Triton and PyTorch, collaborating with researchers to production-grade monitoring and evaluation, and designing agentic/RAG retrieval systems with personalized indexes and multi-step workflows in partnership with Rovo and AI platform teams. Operational excellence and cost discipline are emphasized through observability, incident response, FinOps-driven cost optimization, capacity planning, and cross-functional collaboration to define roadmaps and OKRs, while mentoring junior engineers and promoting engineering best practices.

Atlassian lets employees choose where to work—office, home, or a hybrid—and hires in any country where the company has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform will own the design, development, and production deployment of ML systems that power search across Jira, Confluence, and Rovo. They will design scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and drive end-to-end ML component delivery across regions and tenants to meet strict SLOs for availability, latency, and relevance. Responsibilities include ML model development and serving (neural rankers, embeddings, rerankers), integrating models into serving infra with frameworks like Triton and PyTorch, collaborating with researchers to productionize models with robust monitoring and evaluation, and building agentic/RAG retrieval systems with personalized indexes and grounding pipelines in partnership with Rovo and AI platform teams. The role also emphasizes operational excellence and cost discipline through observability, incident response, FinOps for vector search and ML fleets, on-call readiness, capacity planning, and cross-functional collaboration to define roadmaps, mentor junior engineers, review designs, and promote engineering best practices.

Atlassian offers flexible work arrangements and hires in any country where it has a legal entity. As a Senior Machine Learning Systems Engineer on the Search Platform, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and deliver ML components end-to-end across regions and tenants while meeting strict SLOs for availability, latency, and relevance, including building production ML models (neural rankers, embeddings, reranking) and integrating them into serving infrastructure with Triton and PyTorch. You will also design agentic and RAG retrieval systems with personalized indexes and grounding pipelines, collaborating with Rovo and AI platform teams to evolve search as a foundational layer for AI agents. You will drive operational excellence and FinOps-driven cost discipline through observability, incident response, capacity planning, and on-call practices, while working cross-functionally to define roadmaps, mentor junior engineers, and uphold engineering best practices and OKRs.

Atlassian is seeking a Senior Machine Learning Engineer in its Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power AI products and innovation. The company offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. The role involves leading end-to-end ML projects—from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization—and designing scalable data and modeling approaches for areas like information retrieval, search ranking, personalization, NLP, deep learning, and large language models. You will design robust architectures that meet requirements for quality, latency, scale, privacy, and cost, conduct rigorous experiments and evaluations, and mentor other ML engineers while contributing to technical strategy and best practices. Collaboration with product, engineering, data science, analytics, and platform teams is essential to translate research into production-quality AI capabilities and to drive improvements in model performance, operational efficiency, and customer outcomes.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to power Atlassian’s AI products and accelerate AI innovation across the company. In this role you will lead the development and productionization of advanced ML systems that improve how people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization. You will partner closely with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing, implementing, and deploying state-of-the-art ML algorithms across production environments; owning projects end-to-end; building scalable data and modeling approaches; and designing architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost, across areas such as information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications; plus rigorous experiments and evaluations. You will communicate technical decisions and results clearly to technical and non-technical audiences, contribute to technical strategy and best practices, foster a culture of experimentation and continuous learning, and Atlassian supports flexible work arrangements and hires in any country where it has a legal entity.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence team to build AI-powered experiences, models, evaluation frameworks, and data pipelines that accelerate AI across the company, with work-from-anywhere options and eligibility to hire in any country where Atlassian has a legal entity. The role involves leading end-to-end ML development and productionization—from problem framing and data exploration through model development, experiments, deployment, and ongoing optimization—collaborating with product managers, engineers, and data scientists. You will design scalable architectures and state-of-the-art algorithms for production systems across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, prioritizing quality, latency, scale, privacy, and cost. Responsibilities include designing rigorous experiments and evaluations, integrating AI capabilities into Atlassian products, translating research into production-ready systems, and mentoring other ML engineers while shaping technical strategy and best practices. You will contribute to a culture of experimentation and continuous learning, work with cross-functional teams to improve performance, efficiency, developer experience, and customer outcomes, and communicate trade-offs and results clearly to technical and non-technical audiences.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, evaluation frameworks, and data platforms powering Atlassian’s AI products. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with evaluation as a first-class activity. You will design evaluation-driven development processes, build evaluation datasets, benchmarks, and pipelines (for search, RAG, chat, and agentic systems), conduct offline and online assessments, and design scalable architectures that balance quality, latency, privacy, and cost. You’ll apply techniques across information retrieval, NLP, deep learning, and large language models, communicate results to diverse audiences, mentor engineers, and contribute to ML best practices.

Ats Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for its AI products, with flexible work options and hires in any country where Atlassian has a legal entity. You will develop and productionize ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement. A key part of the role is making evaluation a first-class activity, including defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and using results to guide product and engineering decisions. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, and you will independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and pipelines for search, RAG, chat, and agentic systems, conducting offline and online evaluations and error analysis, designing scalable architectures, applying modern techniques in information retrieval, embeddings, NLP, deep learning, and large language models, and communicating technical decisions clearly to technical and non-technical audiences.

- Atlassian is seeking a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. - Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. - The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the full ML lifecycle with a strong emphasis on evaluation. - You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solving complex problems and mentoring others. - Responsibilities include building end-to-end ML models, designing evaluation-driven development with quality metrics and benchmarks, creating evaluation datasets and pipelines, conducting offline/online/human and model-based evaluations, designing scalable architectures, applying IR/NLP/LLM techniques, and communicating decisions while advancing best practices.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel, drive engagement, and enable more relevant customer and sales experiences across surfaces such as navigation, flags, and the app-switcher. The Growth team is cross-functional (product, engineering, data science, analytics, and product operations) and uses experimentation and intelligent orchestration to personalize what customers see at the right time, delivering durable business value from acquisition to retention. You will design, build, and operate ML systems, develop models and decisioning services for personalized recommendations and journeys, create data foundations and evaluation frameworks, and run offline and online experiments while monitoring latency, quality, and fairness. Requirements include 5+ years of ML experience, a CS-focused degree (or equivalent), strong Python with knowledge of Java/Typescript, SQL, Spark, and cloud data environments, plus experience scaling models on large data, building datasets/evals, and communicating ML concepts, with familiarity or interest in contextual bandits, uplift modeling, recommender systems, and growth-focused applications.

Atlassian offers flexible work options—office, remote, or hybrid—and is hiring a Machine Learning Engineer for Growth to turn behavioral and product signals into scalable ML systems that drive the growth funnel and improve customer experiences. The Growth organization brings together product, engineering, data science, analytics, and product operations to improve how customers discover, adopt, and expand Atlassian usage, using experimentation, personalization, and intelligent orchestration across the full funnel. The ML Engineer will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including moving from fragmented heuristics to a unified, value-aware ranking/orchestration system that uses user context, conversion probability, and lifetime value. Responsibilities include defining the strategy for evolving ML capabilities, partnering with cross-functional teams to translate growth opportunities into measurable experiments and production capabilities, and building models, datasets, evaluation frameworks, and decisioning systems while monitoring attribution, latency, quality, and fairness. Requirements include 5+ years in ML with a Bachelor's or Master's (preferably CS), strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments (AWS/Databricks), experience with large-scale models, datasets/evals, ability to communicate ML concepts, business practicality, agile mindset, problem-solving in ambiguous settings, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus nice-to-have SaaS/B2B growth experience.

Atlassian offers flexible work options, allowing employees to work in office, from home, or a mix to balance business needs with family support. They are hiring a Machine Learning Engineer in the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the customer lifecycle. You’ll design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross‑product expansion, and sales experiences, including creating data foundations, features, models, evaluation frameworks, and decisioning systems, with a move toward a unified, value‑aware orchestration system. You’ll define the ML strategy, partner with product, engineering, data science, analytics, marketing, and sales to turn opportunities into measurable experiments and production capabilities, while optimizing for durable customer and portfolio value and balancing short‑term metrics. Requirements include a bachelor’s or master’s degree, 5+ years in ML, strong Python (and familiarity with Java/Typescript), SQL, Spark, AWS/Databricks, experience building scalable models and datasets, plus the ability to communicate ML concepts to diverse audiences; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is also valued, with bonus for B2C/SaaS or enterprise/B2B growth experience.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. Growth uses experimentation, personalization, and orchestration to tailor the right product, feature, or next step at the right time across the funnel, delivering durable business value. The ML Engineer will design, build, and operate ML systems for personalized recommendations, activation journeys, cross‑product expansion, and sales experiences, including data foundations, models, evaluation frameworks, and decisioning systems. You will collaborate with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, while monitoring attribution, latency, quality, and fairness and optimizing for long‑term customer and portfolio value. Requirements include 5+ years of ML experience, strong Python (plus Java/Typescript), SQL, Spark, and cloud environments (AWS/Databricks), experience building large-scale models and datasets/evals, excellent communication, an Agile mindset, and familiarity with contextual bandits, uplift modeling, recommender systems, or causal inference; SaaS/B2C or B2B experience is a plus.

Atlassians can choose where they work—office, home, or a combination of the two. This flexibility gives them greater control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder indicating where the job description will be inserted. Overall, the message emphasizes flexible work arrangements and broad global hiring.

Atlassians can choose to work in an office, from home, or a combination of the two. This flexibility gives them more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The document includes a placeholder for the job description. Overall, the text emphasizes flexible work arrangements and international hiring within legal boundaries.

Atlassian allows employees to choose where they work—office, home, or a combination of the two. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder [[INSERT JOB DESCRIPTION HERE]] for inserting a job description. Overall, it highlights flexible work options and global hiring, with the job description yet to be added.

Atlassian supports flexible work locations and global hiring, backed by its Trusted Data Platform (TDP), which provides secure, reliable, and scalable data storage across cloud environments to meet enterprise requirements like data residency, encryption, and compliance. TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build applications on relational databases without managing underlying infrastructure, availability, security, or scaling. Atlassian is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, and to partner with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL. The role focuses on building an inclusive, high-performing team; defining strategy and roadmaps; surfacing risks and dependencies; increasing platform adoption by reducing integration complexity; and owning the platform’s reliability, service levels, incident response, and compliance with enterprise needs. It also entails cross-functional leadership and economics, including managing cost posture, capacity, demand forecasting, unit economics, and making investment decisions that prioritize customer trust, platform value, and sustainable cost efficiency.

Atlassian offers flexible work options—office, remote, or hybrid—and hires across countries where it has a legal entity. The Trusted Data Platform (TDP) provides secure, reliable, scalable data storage used by product and platform teams, addressing data residency, encryption, regulatory compliance, backups, disaster recovery, and multi-cloud operations. TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build on relational databases without managing underlying infrastructure, availability, security, scaling, or enterprise controls independently. Atlassian is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes, and to partner with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. The role emphasizes building an inclusive, high-performing organization, defining strategy and roadmap, ensuring platform reliability and enterprise requirements, managing cross-functional dependencies and costs, and driving adoption and value across stakeholders.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, with secure, scalable data storage provided by its Trusted Data Platform (TDP) and its managed relational database, TDP SQL. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes while coordinating with product, infrastructure, security, and other Atlassian teams. The role emphasizes building an inclusive, high‑performing team, establishing operating practices, managing capacity and technical debt, and turning customer and infrastructure requirements into a clear, executable roadmap. Responsibilities include defining and executing the TDP SQL strategy, improving platform adoption, owning operational health and reliability, setting SLAs, incident response, and ensuring data residency, encryption, backup/recovery, and compliance. It also requires technical leadership across multiple cloud providers, balancing near‑term delivery with platform simplification, and cross‑functional ownership of costs, investments, and partnerships to sustain customer trust.

Atlassian supports flexible work locations and hires globally, while its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage with data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operations for product and platform teams. TDP SQL is Atlassian’s managed relational database platform, offering a supported way to build applications on relational databases without managing the underlying infrastructure, availability, security, or scaling. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, and to partner with senior engineers, product and program leaders, infrastructure, security, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. The role encompasses team leadership, strategy and execution, reliability and customer trust, technical and platform leadership, and cross-functional collaboration, including building an inclusive, high-performing team, managing capacity, reducing integration complexity, and guiding architectural direction across multiple cloud providers while balancing near-term delivery with platform simplification and debt reduction. It also involves owning cost posture, demand forecasting, unit economics, and cost attribution; surfacing risks early; driving platform adoption; and representing TDP SQL in engineering reviews, leadership forums, and portfolio planning to ensure customer commitments and sustainable cost efficiency.

Atlassian supports flexible work arrangements and hires globally; its Trusted Data Platform (TDP) provides secure, scalable data storage, including TDP SQL, a managed relational database for internal platforms. The company is looking for a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, in collaboration with senior engineers, product, infrastructure, security, and product orgs. Responsibilities include building a high-performing, inclusive team; defining and executing the TDP SQL strategy and roadmap; surfacing risks and trade-offs early; and increasing platform adoption by delivering production-ready capabilities. The role owns operational health—availability, durability, performance, security, compliance, recovery—and incident response, with requirements for data residency, encryption, backup/recovery, disaster recovery, and cross-cloud operation. It also covers cross-functional leadership, owning cost posture and investment decisions to balance customer trust, platform value, and sustainable cost efficiency.

Atlassian allows employees to work from office, home, or a mix, and hires in any country where it has a legal entity. Atlassian’s Trusted Data Platform provides secure, scalable data storage with enterprise requirements like data residency, encryption, compliance, backups, and multi-cloud operations; TDP SQL is the managed relational database platform built on that foundation. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team and own the team’s people, strategy, execution, and operational outcomes, collaborating with senior engineers, product, program, infrastructure, security, and product organizations to improve adoption and reliability. Responsibilities include building an inclusive, high-performing team, defining the strategy and roadmap, surfacing risks and dependencies, and ensuring reliability through SLAs, on-call practices, and enterprise capabilities such as data residency and disaster recovery. The role also demands technical and platform leadership across multi-cloud architectures, cross-functional collaboration, and ownership of cost posture and investment decisions that balance customer trust with sustainable cost efficiency.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior Manager will build and drive the Atlassian Government Cloud platform components, especially end-to-end release components, leading a team of experienced software engineers and guiding the shift from continuous delivery to operator-approved releases. You will own the government release process—planning, versioning, readiness, cutover, rollback—manage the release calendar and dependencies, define ready-to-ship criteria, and serve as the escalation point for release-impacting incidents. You will manage a 10-15 person team, set expectations, coach, hire, and build bench strength, while driving a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, partnering with other platform teams to scale tooling. You will collaborate across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance; communicate status to senior leadership; run blameless post-release reviews, and ensure releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work options and hires globally wherever they have a legal entity. The Senior Manager will build and drive Atlassian Government Cloud platform components, focusing on end-to-end release processes and shifting to operator-approved releases, in a hands-on leadership role involved in hard launch decisions. Responsibilities include owning the release process for government releases (planning, branching, readiness, cutover, rollback), managing the release calendar and go/no-go criteria, and serving as the escalation point for major launch incidents. You will lead a 10-15 engineer team, set expectations, develop careers, ensure on-call coverage, and drive a multi-quarter roadmap to reduce release risk using trunk-based development, feature flags, canaries, automated release gates, and one-click rollback. You will partner across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance to align release readiness with launch readiness, communicate with leadership, run blameless post-release reviews, and ensure regulatory compliance and audit requirements without unnecessary bureaucracy.

Atlassian offers flexible work locations (office, home, or a mix) and hires in every country where they have a legal entity. The Senior Manager role focuses on building and maturing Atlassian Government Cloud platform components, with an emphasis on end-to-end release components and leading hard-launch decisions. Responsibilities include owning the government release process (planning, branching strategy, release readiness, cutover, verification, rollback), go/no-go criteria, and serving as the escalation point for release incidents, while managing a 10–15 engineer team. They will drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, partnering with platform teams to scale tooling and retire toil. The role requires cross-functional collaboration, blameless post-release reviews, and ensuring compliance with change management and audit standards (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without creating unnecessary paperwork.

Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity. The Senior Manager will build and mature Atlassian Government Cloud platform release components, lead a team of 10-15 engineers, and drive the shift from continuous delivery to operator-approved releases. They will own the Government release process (planning, branch/versioning, readiness, cutover, verification, rollback) and go/no-go decisions, and serve as the escalation point for release-impacting incidents, including out-of-hours for major launches. They will define a multi-quarter roadmap to reduce release risk and cycle time (trunk-based development, feature flags, progressive rollout and canaries, automated release gates, one-click rollback) and partner with other platform teams to scale tooling and retire toil. The role also requires cross-functional collaboration to align release readiness with launch readiness, conduct blameless post-release reviews, and ensure compliance and auditable processes (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where we have a legal entity to support personal goals and priorities. The Senior Manager role will build and drive the Atlassian Government Cloud platform components, maturing end-to-end release components and owning the go/no-go framework with a hands-on leadership style. You will own the release process for Government releases (planning, versioning, readiness, cutover, verification, rollback), manage the release calendar and dependencies, and serve as the escalation point for release-impacting incidents. You’ll lead 10-15 software engineers, provide coaching and career development, maintain an on-call rotation, and execute a multi-quarter roadmap to reduce release risk and cycle time through trunk-based development, feature flags, canaries, automated release gates, and one-click rollback. You’ll partner across Engineering, Product, QA, SRE, Security, Docs, Marketing, and Legal/Compliance; communicate status to senior leadership; run blameless post-release reviews, and ensure releases meet change-management and audit requirements (e.g., SOC 2, ISO 27001, FedRAMP, PCI, or SOX).

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to help employees balance family and personal goals. The role is a Senior Manager who will build and drive the Government Cloud platform components, lead a team of engineers building infrastructure for multiple product and service teams, own the go/no-go release framework, and shift from continuous delivery to operator-approved releases; it’s a hands-on leadership position. Responsibilities include owning the government release process end-to-end (planning, versioning, readiness, cutover, verification, rollback), managing the release calendar and inter-team dependencies, making tradeoffs, and serving as the escalation point for release-impacting incidents, including after-hours for major launches. You’ll manage 10–15 engineers, coach and develop performance, and build bench strength while defining a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, collaborating with platform teams to scale tooling and reduce toil. Finally, you’ll partner with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance to align release readiness with launch readiness, communicate status to senior leadership, run blameless post-release reviews, and ensure releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without unnecessary paperwork.

Atlassian offers flexibility in where you work—office, remote, or a mix—and hires in any country where they have a legal entity, enabling support for family and personal goals. This role provides a rare opportunity to shape how Atlassian’s brands are structured, positioned, and experienced across the portfolio at a moment of new brand positioning, portfolio unification, AI brand system evolution, and Brand Intelligence Engine work. It’s a high-impact, high-ownership role that’s highly visible and involves working directly with leaders in Marketing, Product, Design, and Research. Day-to-day you’ll contribute to brand architecture and portfolio strategy, ensure cohesive experiences across product and customer touchpoints, run the Brand Intelligence Engine to turn signals into actionable briefs, and translate positioning into direction for Product Marketing, Brand Marketing, Creative, and Communications teams. Must-haves include 8+ years of deep brand strategy experience, end-to-end branding in a product-led or B2B SaaS environment, experience with brand intelligence/AI-assisted research, ability to influence senior stakeholders, and exceptional writing; the team culture treats the brand as a shared asset, collaborates early, and strives for a single coherent brand point of view across channels.

Atlassian supports flexible work arrangements (office, remote, or hybrid), hires in any country with a legal entity, and the Value Management Office aims to align all interactions with customers’ strategic business needs for long-term joint success. The organization emphasizes core principles of facts, structure, depth, and perspective, owning customers’ business outcomes, pursuing strategic engagements with customers, and delivering repeatable, high-quality work while shaping long-term narratives. The Principal Value Advisor role is an influential individual contributor responsible for shaping and delivering strategic value engagements, defining Atlassian’s value proposition, driving innovation, and upholding craft excellence and customer-centricity. Key responsibilities cover customer focus and relationship building; financial acumen and value articulation; critical thinking and solution development; storytelling and executive communication; driving innovation; collaboration and influence; and knowledge sharing and thought leadership, with travel of 15-20% as needed. Must-have criteria include 7+ years in value or strategy consulting with cloud and digital transformation exposure, government/public sector experience, proven leadership of cross-functional value management engagements, mastery of financial modeling and business case development, exceptional executive communication, demonstrated ability to drive innovation and mentor others, and a commitment to building the practice operating model and enabling sales transformation.

Atlassian offers flexible work locations and hires globally wherever they have a legal entity. The Value Management Office aims to align all interactions with customers’ strategic outcomes, guided by principles like owning customer outcomes, pursuing long-term collaborations, and delivering repeatable, high-quality value narratives. The Principal Value Advisor is a highly influential individual contributor who shapes strategic value engagements, defines Atlassian’s value proposition, and drives customer-centric innovation. Responsibilities include engaging senior executives, building tailored value-driven solutions, developing business cases and metrics, mastering executive storytelling, driving innovation and cross-functional collaboration, and mentoring others, with 15–20% travel. Required qualifications include 7+ years in value or strategy consulting, experience with government/public entities, mastery of financial modeling and value articulation at the executive level, exceptional communication skills, and a track record of leading complex engagements aligned with Atlassian’s sales transformation.

At Atlassian, employees can work in an office, from home, or in a hybrid setup, with hiring possible in any country where we have a legal entity, guided by core principles that emphasize customer outcomes, strategic engagements, long-term thinking, and creating repeatable, high-quality work. The Principal Value Advisor for DX is a highly influential individual contributor responsible for shaping strategic value engagements, defining DX’s value proposition for customers, driving innovation, and setting the standard for craft excellence and customer-centricity across the organization. Key responsibilities include building executive-level customer relationships, delivering tailored value propositions and business cases, interpreting financial data to identify opportunities, developing root-cause insights and innovative solutions, and producing compelling executive storytelling to drive alignment and adoption. Requirements include 7+ years in value/strategy consulting with cloud and digital transformation experience, mastery of financial modeling and value articulation at the executive level, strong communication and stakeholder management skills, a proven ability to influence senior leaders, and a willingness to mentor others and help operationalize the practice operating model; travel is up to 15-20%. Nice-to-have items include familiarity with Atlassian solutions, experience with workflow/service/collaboration tools, regional language capabilities, and industry experience in financial services, software/tech, or government/public sectors, all aimed at building a value-management infrastructure to support DX’s sales transformation.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, with global hiring and virtual interviews and onboarding as part of being a distributed-first company. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies that are responsive to changing market dynamics and drive sustainable, profitable growth. Atlassian is seeking a Principal Strategist to develop our GTM strategy for Public Sector, using qualitative and quantitative methods to evaluate opportunities and design initiatives that fuel P&L growth. This role will partner closely with Public Sector sales and product executives and stakeholders to define critical strategy and set the long-term direction, thriving in a fast-paced environment and operating independently. Responsibilities include developing actionable GTM strategies from ideation to design, conducting internal and market due diligence, performing financial and market analysis, leading cross-functional stakeholder management, and influencing across all levels to marshal resources and deliver customer value at scale.

Atlassian offers flexible work options, letting employees work in the office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting their family, pursuing personal goals, and managing other priorities. The company hires people in any country where it has a legal entity. This approach supports a global, distributed workforce. Overall, the policy reflects Atlassian's emphasis on work-life balance and inclusive global hiring.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally where they have a legal entity, with a goal of building a 100-year company through empowered engineering teams and modern tooling. Engineering focuses on AI initiatives and helping customers move to the cloud, delivering maximum value through Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle large, complex problems, provide technical leadership on high-impact projects, address architecture challenges, promote architectural standards, evangelize technical excellence, collaborate on company-wide initiatives, and mentor the next generation of technical leaders. The candidate should have 10+ years of full-stack development (Java, Scala, Node, JavaScript, or React), a CS degree or equivalent, deep experience in scalable systems engineering (testing, reliability, security, observability), strong communication, mentoring ability, a customer-impact mindset, and familiarity with A/B testing. The overall aim is to shape Atlassian’s future through collaboration and extraordinary results.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where the company has a legal entity. The goal is to be a 100-year company by building an empowered engineering organization with the right tools to do its best work, while focusing on AI and helping customers transition to the cloud around Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership on high-impact projects, addressing architectural challenges, and promoting a high technical standard across the organization. You will partner with multiple engineering teams on company-wide initiatives, share engineering best practices, mentor the next generation of leaders, and drive engineering excellence. The required background includes 10+ years of full-stack experience with languages such as Java, Scala, Node/JavaScript/React, a CS degree, systems engineering at scale with emphasis on testing, reliability, security, and observability, strong communication skills, mentoring experience, customer-impact-minded decision making, and familiarity with A/B testing.

Atlassian's Strategy Collection aims to align company strategy with execution within the Atlassian System of Work, emphasizing open collaboration, practical AI-driven innovation, and flexible work options. The Principal Product Manager for Focus will own the Focus product vision, roadmap, and operating plan, shaping how it helps leaders define priorities, connect work to outcomes, monitor progress, and make decisions at scale across planning, goals, reporting, insights, collaboration, administration, and integrations, reporting to the Head of Product of Strategy Collection. Responsibilities include leading AI-native product building across discovery, prototyping, experimentation, launch planning, and post-launch learning, identifying high-impact AI opportunities, prioritizing by customer impact and value, and driving cross-functional initiatives. Qualifications include 8+ years in enterprise SaaS product management, strong AI fluency with AI-native practices, 0-to-1 product development and co-building with customers, experience shipping AI/ML capabilities, and a track record of leading ambiguous, executive-visible initiatives. Candidates should have excellent enterprise SaaS fluency, the ability to translate needs into pragmatic decisions balancing adoption, scale, trust, and governance, and exceptional communication and stakeholder influence, with preferred experience in Atlassian products or strategy/portfolio management.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, for a Lead Product Designer on the Rovo & AI team responsible for Atlassian’s flagship AI experience. The role spans across Atlassian apps (Jira, Confluence, Bitbucket) to design AI experiences and requires collaboration with teams across Atlassian; the team is primarily based in Australia and the U.S. West Coast. Responsibilities include setting the strategic vision for AI customer experiences, applying systems thinking, delivering strong visual/interaction design, leading design reviews, coaching other designers, and unifying AI capabilities across Atlassian with leadership and stakeholders. You will lead design projects end-to-end, tie outcomes to customer value, identify success metrics, and seek opportunities to enhance products and accelerate AI and search experiences while collaborating with engineers, product managers, content designers, researchers, marketers, and analysts. Qualifications include 10+ years of enterprise software product design, experience leading organization-wide design programs, end-to-end UX design, storytelling ability, balancing user needs with business/technical feasibility, facilitation and cross-functional collaboration, design systems experience, and measuring success with qualitative and quantitative methods, plus a focus on improving processes to increase product value and adoption.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity; they’re seeking a Lead Product Designer for the Rovo & AI team to shape AI experiences across Jira, Confluence, Bitbucket, and other Atlassian apps. The role leads the strategic vision and conceptual design for AI experiences, applying systems thinking to understand how products, channels, and features interact to drive better outcomes. It requires strong visual and interaction design skills to communicate work clearly, lead design reviews, and serve as a design craft leader and coach for cohesive AI experiences. You’ll partner with leadership and cross‑functional teams to create a unified design view of AI capabilities, lead projects end‑to‑end, tie outcomes to customer value, identify success metrics, and spot opportunities to enhance AI and search experiences at Atlassian. Qualifications include 10+ years of enterprise software product design, experience with org‑wide design programs, end‑to‑end UX design, storytelling, balancing customer and business needs, facilitation and collaboration, design systems, and measuring success with qualitative and quantitative methods, along with process improvements to increase value and adoption.

Atlassian is investing deeply in Generative AI to unleash the potential of every team, pursuing advanced modeling and rapid innovations that accelerate how teams work, discover, and create. They’re seeking a Principal Machine Learning Systems Engineer (P60) to lead the technical directions of GenAI Products & Knowledge Innovations in the US, focusing on building and scaling systems that power GenAI products with enterprise knowledge, rapid prototyping, and applied research. Atlassian supports flexible work arrangements and hires globally where they have a legal entity. The role involves designing scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and building retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data, plus tooling for rapid experimentation and deployment. You’ll enable rapid prototyping and applied research by partnering with scientists to produce production-ready pipelines, optimize latency and efficiency, collaborate across ML, backend, and product teams, and help establish the team as a world-class GenAI systems hub with best practices in deployment, monitoring, and evaluation.

Atlassian is investing in Generative AI and seeks a Principal ML Systems Engineer (P60) to lead GenAI products and knowledge innovations in the US, focusing on scalable systems and rapid prototyping to empower teams. The company offers flexible work options—office, remote, or hybrid—and can hire anywhere with a legal entity. Responsibilities include designing and building scalable ML systems for training, fine-tuning, and serving large language models and embeddings, plus developing efficient retrieval, hybrid search, and RAG pipelines tied to knowledge-grounded data. They emphasize enabling rapid prototyping and applied research by partnering with scientists to turn POCs into production-ready services, while optimizing latency, throughput, and resource efficiency for GenAI workloads. The role involves cross-disciplinary collaboration with ML engineers, backend developers, and product teams, and contributing to best practices in deployment, monitoring, and evaluation to position the team as a world-class GenAI systems hub.

Atlassian is investing in Generative AI and is seeking a Principal Machine Learning Systems Engineer (P60) to lead GenAI Products & Knowledge Innovations in the US. The role focuses on designing and scaling systems that power advanced GenAI products, including enterprise knowledge integration, rapid prototyping, and applied research. You’ll design scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and build retrieval, hybrid search, and RAG pipelines with knowledge-grounded data. You’ll enable rapid prototyping and applied research by partnering with scientists to turn ideas into production-ready pipelines, building POC systems, and optimizing latency, throughput, and resource efficiency. You’ll collaborate across ML engineers, backend developers, and product teams, contribute to deployment, monitoring, and evaluation best practices, and help establish Atlassian as a world-class GenAI systems hub, while enjoying flexible work location and eligibility to hire in any country with a legal entity.

Atlassian is a global leader in team collaboration and productivity software, with tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions to plan, track, and manage work. The company is committed to building innovative tools to drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization. The team builds Atlassian’s flagship AI products—agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph—while developing frameworks, models, and infrastructure to accelerate AI feature development company-wide. Atlassian offers flexible work arrangements (office, home, or a mix) and hires in any country where it has a legal entity. In this role, you will lead ML algorithm and model development, collaborate with product, engineering, and analytics teams, design architectures, lead experimentation and evaluation, mentor engineers, and help shape the company’s AI strategy.

Atlassian is a global leader in team collaboration software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions to plan, track, and manage work. The company is dedicated to building innovative tools and technologies that drive the future of work, including flagship AI products from the Search & Intelligence organization such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. Atlassian also develops the frameworks, models, and infrastructure that accelerate AI feature development across the company. The Principal Machine Learning Engineer role involves leading the development and implementation of cutting-edge ML algorithms and models, collaborating with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, and designing architectures, guiding experiments, and mentoring other ML engineers. The company offers flexible work arrangements (office, home, or hybrid) and can hire in any country with a legal entity, and the role includes helping shape Atlassian's AI strategy across the organization.

Atlassian is a global leader in team collaboration and productivity software, with tools like Jira, Confluence, Trello, Bitbucket, and Rovo trusted by millions to plan, track, and manage work. The company develops innovative AI capabilities through its Search & Intelligence team, delivering flagship products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, along with frameworks, models, and infrastructure to accelerate AI feature development. Atlassians can work in an office, from home, or in a hybrid setup, and the company can hire in any country where it has a legal entity. As a Principal Machine Learning Engineer, you will lead the development and implementation of cutting-edge ML algorithms and models powering AI across Atlassian’s products and services, collaborating with product, engineering, and analytics teams. Your responsibilities include designing system and model architectures, leading rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy to realize its transformative potential.

- Atlassians can choose where they work, whether in an office, from home, or a combination of the two. - This setup gives employees more control over supporting their family, personal goals, and other priorities. - Atlassian can hire people in any country where it has a legal entity. - This enables a global hiring footprint while complying with local laws. - Overall, the policy emphasizes flexible work options and broad geographic reach.

Atlassian offers flexible work locations, allowing in-office, remote, or hybrid arrangements to support personal goals and priorities. They hire in any country where they have a legal entity. They are seeking a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include understanding the user journey, collaborating to influence product strategy, guiding technical direction for large-scale features, evaluating trade-offs, debugging inefficiencies, and shipping secure, reliable code while contributing to reviews, documentation, and complex bug fixes with security and performance in mind. They also mentor teammates, improve the growth engineering team, and identify blockers to software engineering excellence (design principles, unit testing, performance, and security/privacy).

Atlassian supports flexible work arrangements and hires globally, but this role is fully remote and requires you to be located in the US Pacific or Mountain time zones. They are seeking a Principal Backend Software Engineer to join the team, focusing on delivering creative improvements for engineering teams. The role involves regularly unblocking challenges across the software development lifecycle—from design to launch—and creating solutions used by other teams and products, including planning large projects. It also includes solving complex architecture challenges, applying architectural standards to new projects, leading code reviews and documentation, handling high-risk bug fixes, setting the standard for meaningful reviews, and partnering across engineering teams on company-wide initiatives. The role expects transferring depth of knowledge between languages to excel as a software engineer and mentoring junior team members.

Atlassian offers flexible work locations and global hiring, allowing employees to work in-office, from home, or a hybrid arrangement. The role is Manager, Customer Success Architects (AI), leading a pod focused on driving adoption of the Rovo AI platform and delivering real business value for customers. You’ll hire, coach, and develop CSAs who work with enterprise teams to identify high-impact AI use cases, design and deploy custom Rovo agents and connectors, and move solutions into production, while owning engagement quality, capacity planning, and adoption metrics. On day one, you’ll set expectations and development plans, manage pod capacity and delivery, ensure current playbooks and enablement, collaborate with Pre-Sales, Product, and Engineering, coordinate with Account Teams and Sales, translate field patterns into roadmap feedback, and advocate for customer successes, with up to 15% travel. You should be familiar with GDPR and EU AI Act requirements as they relate to enterprise AI adoption and data residency, and you’ll help expand AI use cases and markets.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees' personal priorities. The role leads and manages a team of enterprise Account Executives to achieve sales targets, develop strategic plans, mentor staff, set performance metrics, and recruit as needed. It requires collaboration with internal teams like Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline sales processes and manage key client relationships and high-level negotiations. The job also involves analyzing sales data and market trends, providing regular updates to senior management, and conducting performance evaluations to drive continuous improvement. Qualifications include 10+ years in sales and 5+ years in management (preferably as a second-line sales leader), experience with CRM and analytics tools, French fluency preferred, and a track record in value-driven, consultative selling in a fast-paced international environment.

Atlassian supports flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity, empowering employees to balance work with family and personal goals. The role centers on leading a team of enterprise Account Executives to achieve sales targets and revenue goals, while developing strategic plans to penetrate and expand the enterprise segment and mentoring the sales team to reach individual targets. Additional duties include setting performance metrics, recruiting and onboarding new sales staff, collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline processes and enhance customer satisfaction, and analyzing sales data and market trends to identify growth opportunities. The incumbent will manage key client relationships, participate in high-level negotiations, and provide regular updates and reports on sales performance to senior management, while staying informed about industry dynamics and competitor activity within the enterprise segment. Qualifications include 10+ years in sales and 5+ years in management (preferably second-line sales leadership), a proven track record of target achievement, proficiency with CRM, pipeline management, and analytics tools, experience with consultative and value-driven selling, ability to coach and mentor selling professionals and build relationships with senior stakeholders, fluency in French preferred, and a demonstrated motivation to work in a fast-paced international environment.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where the company has a legal entity. The role involves leading and managing a team of enterprise Account Executives to achieve sales targets and revenue goals, developing strategic plans to penetrate and expand the enterprise market, mentoring the team, setting and tracking performance metrics, and recruiting as needed. Responsibilities include collaborating with internal teams such as Channel Partners, Product Specialists, Account Managers, and Solution Engineers; analyzing sales data and market trends to identify growth opportunities; conducting regular performance evaluations; managing key client relationships and high-level negotiations; and providing updates to senior management. Qualifications include 10+ years in sales and 5+ years in management, preference for experience as a second-line sales leader, a proven track record of meeting targets, CRM/pipeline analytics proficiency, and French fluency preferred; plus experience in consultative, value-driven selling and building relationships with senior stakeholders. The role emphasizes challenging traditional sales models, optimizing processes, thriving in a fast-paced international environment, taking initiative, and sharing findings with the team.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally wherever there is a legal entity. The Lead Paid Search Strategist is a senior individual contributor who will own the global paid search program across Atlassian’s product portfolio, defining brand and nonbrand strategies and advancing bidding and measurement systems. Responsibilities include governing strategies, driving in-house automation and value-based bidding, directing agencies, partnering with data science for causal experiments and attribution, forecasting budgets, and adapting to AI-driven search formats and privacy changes. The role also involves delivering performance insights to executives and aligning search efforts with product roadmaps in collaboration with PMM and Web teams. Requirements include 8+ years of paid search experience in high-growth B2B SaaS, multi-million-dollar budget management, technical direction on conversion APIs and attribution models, and agency leadership; preferred skills include SQL/BigQuery, Google Ads Scripts, Tableau/Looker, and multilingual campaign governance.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally in countries where it has a legal entity, enabling employees to support family and personal goals. The role focuses on executive support including complex calendar management across multiple time zones, meeting preparation and notes, and leading the planning, coordination, and execution of virtual and in-person events with vendors and logistics. It emphasizes cross-functional collaboration, internal communications, driving the rhythm of the business with leadership meetings, offsites, town halls, and quarterly planning, and handling budgets, purchase orders, travel management. You’ll leverage tools across the Atlassian suite, Google Workspace, Slack, Zoom, and Workday, with opportunities for growth, leadership operations engagement, and internal mobility and progression paths. The ideal candidate has 7+ years of Executive Assistant experience supporting senior leaders in high-growth technology settings, is a strategic team player who can navigate change, plan events at scale, make data-informed decisions, and thrive in a distributed workplace to drive impact.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, signaling an inflection point as it builds an enterprise go-to-market on top of its product-led growth. Its AI-powered products—Jira, Confluence, Loom, and Rovo—are becoming a platform, and this role will bring that AI and platform transformation to life for Strategic & Enterprise accounts to generate pipeline for sales. The Account-Based Marketing Manager for East/Canada will lead 1:1 omni-channel ABM campaigns, collaborate with sales leadership, plan events, and create locally resonant proof points and customer stories to accelerate opportunities in AMER. Day one requirements include 7+ years of B2B marketing with 3+ years in ABM within a high-growth environment, a proven track record of pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation and CRM. Nice-to-haves include experience marketing platform or enterprise transformation products to C-suite buyers, familiarity with both PLG and sales-led GTM motions, knowledge of Atlassian’s product suite, and prior experience in a high-growth B2B SaaS company navigating major product or positioning shifts; the Regional & Partner Marketing team seeks marketers who are strategic owners responsible for pipeline.

- Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. - The company is at an inflection point, moving from a strong product-led growth engine to an enterprise go-to-market on top of a large installed base, with AI accelerating its platform across tools like Jira, Confluence, Loom, and Rovo. - The Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada will bring Atlassian’s AI and platform transformation story to life in-market and generate pipeline for sales. - Responsibilities include owning 1:1 omni-channel ABM campaigns, collaborating with sales, planning events, leveraging AI tools, and coordinating with central teams and partners to maximize pipeline. - Requirements are 7+ years of B2B marketing with 3+ ABM in a high-growth environment, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, and data-driven decision-making; the Regional & Partner Marketing team is a global group building market-by-market, customer-by-customer pipeline.

Atlassian supports flexible work locations and hires globally where it has a legal entity, enabling employees to balance family and personal goals. The company is evolving from a product-led growth model to an enterprise go-to-market, with AI powering its Jira, Confluence, Loom, and Rovo platform. The Account-Based Marketing Manager for East/Canada will generate and accelerate pipeline for Strategic & Enterprise accounts by turning global AI/storylines into locally resonant proof points and leading 1:1 omni-channel ABM in close partnership with sales. Responsibilities include planning and executing events, coordinating with demand gen, PMM, brand, and partner marketing, and leveraging AI tools to inform strategy, personalize at scale, and optimize campaigns. Requirements include 7+ years of B2B marketing with 3+ years in ABM, proven pipeline-generation experience, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision-making, and familiarity with marketing automation/CRM, with bonus points for experience in PLG and enterprise go-to-market, plus knowledge of Atlassian’s products.

- Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. - The company is at an inflection point, moving from a successful product-led growth model to building an enterprise go-to-market on top of its large installed base, with AI powering its platform. - The Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts will bring Atlassian’s AI and platform transformation stories to market and generate pipeline for sales. - Responsibilities include owning 1:1 omni-channel ABM programs, using AI tools, collaborating with sales, coordinating events, and aligning with central teams to meet regional pipeline needs. - Requirements include 7+ years of B2B marketing with 3+ years ABM in high-growth settings, proven 1:1 and 1:Few ABM experience, strong AI fluency and data-driven decision-making, cross-functional influence, and a track record of pipeline generation; desirable extras include platform marketing to C-suite and familiarity with PLG and sales-led motions within Atlassian's Regional & Partner Marketing team.

Atlassian supports flexible work locations and hires globally, and the company is evolving from product-led growth to an enterprise go-to-market that leverages an AI-powered platform across Jira, Confluence, Loom, and Rovo. The Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada will generate pipeline by turning Atlassian’s AI and platform transformation into locally resonant narratives, customer stories, and campaigns. You’ll build and execute 1:1 omni-channel ABM with sales, plan in-person and virtual events, use AI tools to personalize at scale, and influence cross-functional teams to meet regional pipeline goals. On day one, you should have 7+ years in B2B marketing, including 3+ years ABM, proven pipeline generation, strong AI fluency, strategic thinking, data-driven decision making, self-starter traits, and experience with marketing automation/CRM (Salesforce/Marketo), with preferred extras. You’ll join Regional & Partner Marketing, a global team treating marketers as strategists and pipeline owners, shaping Atlassian’s next chapter market-by-market and customer-by-customer.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity to support employees' priorities. Its products, including Jira Software, Confluence, and Jira Service Management, help teams organize and complete work, used by Fortune 500 companies and others like NASA, Audi, and Deutsche Bank. The Mid-Market sales team manages about 40 accounts (200–10,000 seat count) with a $2–4M annual quota, pursuing net-new growth and expansion while advocating for customers to feed product feedback. The role involves leading cross-functional deal teams, building executive relationships across IT, business, and marketing groups, and applying MEDDPICC to qualify and win complex, multi-solution opportunities with outcome-based selling. You will collaborate with channel, marketing, product, and customer success to maintain a healthy pipeline, price and negotiate contracts, forecast accurately, stay current on industry trends, and travel occasionally for meetings and events.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where it has a legal entity, enabling employees to support family and personal goals. Atlassian's software helps teams organize, discuss, and complete work, with clients including Fortune 500 firms and NASA, and products Jira Software, Confluence, and Jira Service Management. The Mid-Market sales team manages a portfolio of mid-sized customers, focusing on cloud-first opportunities, cross-sell and expansion, while advocating for customers to product/engineering teams. The role involves owning about 40 accounts (200-10,000 seats), carrying a $2-4M annual quota, leading cross-functional deal teams, and closing complex, multithreaded opportunities using MEDDPICC and outcome-based selling. Responsibilities include building executive relationships across business units, collaborating with channel, marketing, product, and customer success, maintaining a healthy pipeline with accurate forecasting, staying informed on industry trends, and occasional travel for meetings and events.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control to balance family and personal priorities. Atlassian’s products, including Jira Software, Confluence, and Jira Service Management, help teams organize, discuss, and complete work, and are used by major customers such as NASA, Audi, Deutsche Bank, Kiva, Dropbox, and many Fortune 500 companies. In the Mid-Market sales role, you’ll own a book of 45-75 accounts with 200-10,000 seats, maintain a $2-4M annual quota, and lead a cross-functional deal team (SDR, SE, SSE, AM, partners) to drive net-new growth and expansion. You’ll build executive relationships across IT, business, sales, and marketing, apply MEDDPICC (or similar) to qualify and win complex opportunities, and pursue multithreaded, multi-solution deals using outcome-based selling, with occasional travel for meetings and events. You’ll collaborate with channel, marketing, product, and customer success teams to maximize customer satisfaction, manage and forecast a healthy pipeline, and stay informed on industry trends and competitors to maintain a competitive edge.

Lucid Software is a leader in AI-driven work acceleration offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive business transformation at scale. The company emphasizes values such as innovation, excellence, empowerment, initiative, ownership, teamwork, and a diverse, inclusive culture, with a hybrid workplace supporting remote and in-office options. They are seeking a Senior Product Manager for the Developer Platform to shape how Lucid embeds in customers’ existing tools (like Slack) and how its APIs power Lucid AI, MCPs, and a broader ecosystem of integrations. Responsibilities include cross-functional collaboration, owning the roadmap across multiple projects aligned to company strategy, guiding features through ideation to iteration, and conducting qualitative and quantitative research to validate ideas and measure impact. Requirements include a bachelor’s degree or equivalent, 5+ years of software product management experience, a track record leading cross-team platform initiatives in B2B SaaS, and strong communication with engineers and executives, with preferred qualifications in platform/API strategy, SaaS tooling, mentoring, rapid prototyping, and autonomous work in ambiguous environments.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform work at scale. The company emphasizes core values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, while fostering a respectful, inclusive environment with a hybrid work model. The Senior Product Manager for the Developer Platform will own the strategy for embedding Lucid in customers' existing tools (e.g., Slack) and enabling platform access via APIs to power Lucid AI, MCPs, and broader integrations, working with a cross-functional team of PMs, designers, engineers, and QA. Responsibilities include cross-functional collaboration, becoming an expert on customer motivations, delivering business outcomes, owning multi-project roadmaps aligned to company strategy, guiding features from ideation to iteration, and using qualitative and quantitative research and metrics to optimize usage. Requirements include a bachelor's degree in a technical field or equivalent, 5+ years of software PM experience, a track record leading platform initiatives in B2B SaaS, and strong ability to communicate with engineers, executives, and customers; preferred qualifications encompass platform/API strategy experience, SaaS product mentoring, rapid prototyping and testing, and autonomy in ambiguous environments.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help organizations turn ideas into reality and transform how they work. The company upholds values like innovation, excellence, empowerment, initiative and ownership, and teamwork, and supports a diverse, inclusive culture with a hybrid, flexible work model. The Security Analyst role is to protect corporate assets and web applications and to execute day-to-day GRC operations, manage third-party risk assessments, and champion customer trust. Responsibilities include vendor risk assessments, responding to security questionnaires, gathering evidence for SOC 2 and ISO 27001 audits, identifying threats, delivering security awareness training, ensuring regulatory compliance, and collaborating across Legal, IT, Finance, HR, and Engineering to improve controls and metrics. Requirements include a bachelor's degree, 3+ years in third-party risk management/GRC, knowledge of frameworks such as NIST 800-53, ISO 27001, SOC 2; strong organizational and communication skills; cross-functional collaboration ability; and preferred qualifications include SaaS/cloud experience, certifications (CRISC, CISSP, CISA, SSCP, CC, Security+), cloud platform familiarity, experience with process improvement and automation, and the use of AI tools to enhance workflows.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams streamline work, foster alignment, and drive business transformation at scale. The company emphasizes core values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, while supporting a diverse, respectful, inclusive culture with a hybrid work model. The Security Analyst role focuses on protecting corporate assets and web applications, with responsibilities centered on day-to-day GRC operations, third-party risk assessments, and championing customer trust to enable rapid business innovation. Key duties include vendor risk assessments, responding to security questionnaires, maintaining evidence for SOC 2 and ISO 27001, identifying threats, delivering security awareness training, ensuring regulatory compliance, measuring security metrics, and collaborating with Legal, Engineering, IT, Finance, and HR to improve policies and workflows. Requirements include a bachelor’s degree, 3+ years of experience in third-party risk management and GRC, knowledge of security frameworks (NIST 800-53, ISO 27001, SOC 2), strong organizational and communication skills, and cross-functional collaboration ability, with preferred SaaS/cloud experience, risk management certifications, cloud proficiency, process improvement and automation experience, and the ability to leverage AI tools.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. The suite, combined with accelerators for cloud and process transformation, enables organizations to streamline work, foster alignment, and drive business transformation at scale, reflecting Lucid's core values of innovation, excellence, empowerment, initiative and ownership, and teamwork. Lucid is a hybrid workplace with remote, office, or mixed arrangements depending on the role, serving Fortune 500 companies and over 100 million users, including Google, GE, Siemens, VW, NBCUniversal, JLR, and T-Mobile, while continuing rapid growth. The Scaled Account Specialist is part of the Sales Team's Transactional Business Group, responsible for strategic growth and management of SMB accounts through scalable, low-touch engagement, handling renewals, expansions, upgrades, downgrades, and cancellations, and supporting the go-to-market strategy. Key responsibilities include overseeing a portfolio of SMB accounts, managing Salesforce data, analyzing customer feedback, contributing to scalable playbooks, and cross-functional collaboration, while requirements include a bachelor's degree, 1-2 years' experience, strategic thinking, strong organization and communication skills, hybrid work in South Jordan, UT two days per week, and preferred CRM experience and a curiosity-driven mindset.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, and it emphasizes innovation, empowerment, diverse perspectives, inclusivity, and a hybrid work environment. They are seeking a hands-on Sales Enablement Manager for North America Commercial Sales to lead onboarding, performance coaching, and the development and delivery of high-impact enablement programs. The role partners with sales leadership, frontline managers, and cross-functional teams to customize global programs, facilitate live workshops, coach reps and managers, support new-hire ramp, and create enablement assets, with an emphasis on data-driven measurement and field feedback. Success is measured by outcomes such as reduced time-to-productivity, adoption of messaging and tactics, and quota attainment trends, with AI-enabled insights guiding coaching decisions. Requirements include 4+ years in SaaS sales enablement or related roles with a proven track record, preferred coaching certification, experience with AI tools and major sales methodologies, familiarity with Salesforce/Gong/ZoomInfo, strong facilitation and communication skills, and a hybrid position based in South Jordan, UT two days per week (Tue/Thu).

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. The company emphasizes core values such as innovation, excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, inclusive, respectful culture in a hybrid work environment. Lucid serves Fortune 500 and other large organizations (Google, GE, Siemens, VW, NBC Universal, JLR, T-Mobile) and claims over 100 million users, with continued strong growth driven by new user acquisition. The Professional Services Consultant acts as a trusted advisor and delivery lead with enterprise accounts to maximize their investment by translating complex challenges into visual strategic roadmaps, accelerating product adoption, securing renewals, and informing Lucid's product roadmap through field insights. Requirements include 5+ years in a consultative role, understanding of AI/process management or enterprise architecture, cloud/infrastructure visualization exposure, and experience presenting to C-suite stakeholders; the role is hybrid in Raleigh, NC with in-person days on Tuesdays and Thursdays, and preferred qualifications include a master’s degree, prior engineering experience, cloud certifications, and experience leading large-scale software rollouts.

Lucid Software leads AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) plus airfocus to help teams turn ideas into reality and scale transformations. The company champions innovation, excellence, empowerment, initiative and ownership, and teamwork, while fostering a diverse, respectful, inclusive culture with a hybrid work model. With over 100 million users and clients including Fortune 500 firms and global brands like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile, Lucid is growing rapidly, adding hundreds of thousands of new users each month. The Professional Services Consultant serves as a trusted advisor, translating complex enterprise challenges into visual strategic roadmaps and coordinating with enterprise buyers and IT stakeholders to drive adoption, renewals, and new revenue opportunities. The role requires 5+ years in a consultative, customer-facing capacity with AI/process management or enterprise architecture knowledge, cloud exposure, and is hybrid with in-person work at the South Jordan, UT office two days per week (Tuesday and Thursday); preferred qualifications include a Master’s degree, prior R&D or software development experience, and relevant cloud/EA certifications.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive large-scale transformation. The company upholds values of innovation, passion and excellence, empowerment, ownership, and teamwork, and maintains a respectful, inclusive culture with a hybrid work model. Lucid counts Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile among its customers and serves over 100 million users, continuing rapid growth. The Technical Product Support Specialist on the Customer Operations team will interact with customers, drive solutions through professional communication, help launch new products, and build online communities and help-center content while collaborating across Engineering, Product Management, and other teams. Requirements include 2 years of practical experience or a Bachelor's degree, strong ownership, the ability to work independently and cross-functionally, translating complex tech into simple content, excellent communication and problem-solving skills, and a hybrid role at the South Jordan, UT office two days per week (Tuesday and Thursday); preferred qualifications include systems optimization, project management, UX knowledge, and AI/LLM experience.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, used by over 100 million users and trusted by Fortune 500 companies to accelerate critical workflows. The company emphasizes values of innovation, excellence, empowerment, initiative and ownership, and teamwork, and fosters a diverse, respectful, inclusive, hybrid workplace that supports work-life balance. The Technical Product Support Specialist on the Customer Operations team will engage directly with customers, drive solutions, help launch new products, and surface user issues to improve products and internal operations. Responsibilities include building product expertise, resolving technical issues, collaborating with Engineering and Product teams, growing and managing a Lucid product community, and creating Help Center content based on user feedback and metrics. Requirements include 2 years of experience or a Bachelor's, strong ownership and cross-functional collaboration, ability to translate complex tech into simple content, excellent written and verbal communication, and a hybrid Raleigh, NC role with in-office days on Tuesday and Thursday; preferred qualifications include project management experience, mentoring, UX knowledge, and experience with AI agents or LLMs.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. The company emphasizes core values—innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego—and provides a respectful, inclusive, hybrid workplace with flexible work arrangements. They are seeking a Product Manager to advance AI-enabled products, joining a team focused on emerging technology, AI, agentic workflows, and canvas-native generative features. Responsibilities include partnering with product teams to identify, test, and de-risk new AI capabilities through prototypes and experiments, improving product development and evaluation practices, and owning AI platform capabilities from strategy through launch with cross-functional collaboration. Requirements include 4+ years of B2B SaaS PM experience with cross-functional delivery, experience bringing agentic AI products to market, knowledge of modern AI systems (RAG, agent architectures, evaluations), strong product judgment and stakeholder influence, and preferred background in rapid innovation, visual collaboration, and mentoring other PMs, with #LI-DA1.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. The suite, together with accelerators for cloud and process transformation, helps organizations streamline work, foster alignment, and drive business transformation at scale, rooted in values of innovation, excellence, empowerment, initiative and ownership, and teamwork over ego, with a respectful, inclusive culture in a hybrid workplace. They are seeking a Product Manager to advance products using cutting-edge AI, joining a diverse team focused on innovation and new product discovery in emerging technology and AI, including Collaborative AI products, agentic workflows, and canvas-native generative features. Responsibilities include partnering with product teams to identify, test, and de-risk new AI capabilities through prototypes and experiments; improving development, evaluation, and decision-making processes; staying at the forefront of AI and developer tooling; and owning AI platform capabilities from strategy through launch with Engineering, Design, Data Science, and Product. Requirements include 4+ years in B2B SaaS product management leading cross-functional launches; experience bringing agentic AI products to market in fast-moving environments; strong understanding of AI systems (agent architectures, retrieval-augmented generation, evaluations, and tradeoffs); and proven ability to build partnerships; preferred: experience leading innovation or new product discovery teams, work with visual collaboration or digital whiteboarding platforms, and mentoring other PMs.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive transformation. The company emphasizes core values—innovation, passion & excellence, individual empowerment, initiative and ownership, and teamwork over ego—and fosters a diverse, respectful, inclusive culture in a hybrid workplace. The Raleigh Office Manager role is a part-time position (20-25 hours/week) within the Workplace Experience team, working an afternoon shift (12:00–5:00) five days a week to provide seamless coverage. Responsibilities span facility management and office cleanliness, equipment moves and floor plans, office sweeps, technology coordination with IT, kitchen/coffee service, catering, events and culture initiatives, and related administrative tasks including shipping and employee support. Requirements include 1+ year in a professional office setting, the ability to work in-office five days on the stated schedule, strong communication and multitasking skills, proficiency with G-Suite or Office 365, and the ability to lift 25-50 lbs; preferred qualifications include facilities management or basic repair/maintenance experience and exposure to a high-tech environment.

The Services Consultant leads end-to-end technical delivery for customers, owning the implementation from requirements gathering to go-live and ensuring solutions are technically sound and aligned with customer goals. They act as a Zendesk for Contact Center subject matter expert, providing recommendations, handling high-profile customers, and leading design and configuration workshops that translate business objectives into detailed Technical Design Documents while configuring AWS resources in customer accounts (including Amazon Connect, CloudFormation, Lex, DynamoDB, Kinesis, IAM, S3, and more). They collaborate with cross-functional teams (Solution Architects, Engagement Managers, Technical Architects) to support development, testing, and go-live, and conduct technical training, handovers, and knowledge transfer for customers. Qualifications include 3+ years of customer-facing experience (preferably technical support or consulting), mandatory Amazon Connect experience, 3+ years building and deploying complex cloud-based solutions, automation experience, and strong hands-on coding skills with AWS Lambda and Python. Zendesk emphasizes a hybrid, inclusive culture, with a US base salary range of $137,000–$205,000 (potential bonuses) and commitments to equal opportunity and accommodations, noting that AI screening may be used in the hiring process.

Zendesk is offering a nine-week, full-time summer internship in Global Revenue Operations to support internal process improvements and AI-driven monetization initiatives, with an early June start, about 40 hours per week, and 2-3 days on-site at the Madison, WI office, plus a dedicated mentor. The role is hybrid, combining remote work with in-person collaboration to foster hands-on project experience and build professional relationships while leveraging data-driven insights to optimize pricing and operational efficiency. Responsibilities include supporting RevOps process improvements and automation (including AI optimizations), assisting with legacy customer integrations from mergers and acquisitions, performing UAT for commerce-to-cash systems, documenting workflows, conducting data extractions, creating enablement materials, and learning core systems like Stripe, Zuora, Salesforce, CPQ, and Zendesk Support. Requirements are active enrollment in a related degree program, strong G-Suite and Zoom skills, preferred familiarity with CRM tools, US work authorization, and a Madison-area residence preferred; compensation ranges from $26.44 to $39.90 per hour and may include bonuses or benefits. Zendesk emphasizes diversity, equity, and inclusion, is an equal opportunity employer, and provides accommodations for disabilities; AI may be used in screening applications, and applicants can request accommodations as needed.

The Finance & Strategy team at Zendesk is offering a ten-week Financial Analysis & Strategy Analyst Intern role (June 7–August 6, 2027) to support C-level decisions through forecasting, modeling, and strategic partnership. Interns will analyze financial results, build models, manage organizational budgets with executives, drive process automation, and contribute to monthly/quarterly P&L reporting and cross-functional alignment. Minimum requirements include pursuing a bachelor’s degree with planned Spring 2028 graduation, experience with financial modeling and data, strong Excel/GSuite skills, and familiarity with ChatGPT/LLM tools, plus an AI-first, team-oriented mindset. Compensation ranges from $31.25 to $61.00 per hour and may include bonuses or benefits, with a hybrid work arrangement requiring some in-office presence and a schedule set by the hiring manager. Zendesk is an equal opportunity employer committed to diversity and inclusion; applicants should note AI screening may be used and accommodations are available for applicants with disabilities.

Zendesk is seeking a ten-week Financial Analysis & Strategy Intern (June 7–August 6, 2027) to help forecast, model, and provide strategic financial insights that support scaling to a multi‑billion‑dollar business. The role involves analyzing financial results, building models, managing budgets, driving process automation, and contributing to monthly/quarterly P&L reporting with cross‑functional alignment. Candidates should be pursuing a bachelor’s degree with expected Spring 2028 graduation, have experience with modeling and data, strong Excel/GSuite skills, and familiarity with ChatGPT/LLMs, plus an AI‑first, problem‑solving mindset. The US hourly base pay is $31.25–$61.00, with potential bonuses/benefits depending on location and qualifications. Zendesk offers a hybrid work model, is an equal opportunity employer prioritizing diversity and inclusion, may use AI screening, and provides accommodations for applicants with disabilities.

Figma is hiring a full-time Technical Program Manager for its Technology Services team, a role that can be based in the US or remotely within the United States, to help scale by leading cross-functional programs with Finance, GTM, Engineering, and IT teams. The job focuses on driving alignment, managing dependencies, guiding technical discussions, anticipating risks, removing roadblocks, and improving collaboration plus AI and automation adoption. Requirements include 5+ years of cloud/SaaS program management experience, the ability to dive into technical details and tailor communication for different audiences, comfort navigating ambiguity, and proficiency with tools like Asana, GSuite, Zoom, Notion, and Figma; PMP and Scrum certifications and experience with business systems are a plus. Figma offers equity, a base salary range of $140,000–$245,000, and comprehensive benefits, with compensation determined by qualifications, location, and other factors. The company emphasizes growth, equal opportunity, and accommodations, requires cameras on during video interviews, in-person onboarding for new hires, and invites applicants to review the Candidate Privacy Notice.

Figma is expanding its team to make design accessible to all, offering a platform that supports brainstorming, prototyping, translating designs into code, and AI-assisted collaboration for real-time work from anywhere. They’re hiring an experienced Technical Program Manager to join the Technology Services team, partnering with Business and Technology groups to lead cross-functional programs that scale, ensure alignment, and clear roadblocks. You’ll lead highly cross-functional programs, manage dependencies, guide technical discussions, anticipate risks, build trusted partnerships, and champion effective ways of working and continuous improvement. Requirements include 5+ years of cloud/SaaS program management, ability to dive into technical details and tailor communication for different audiences, comfort operating in ambiguity, a track record of knowledge sharing and collaboration, and proficiency with tools like Asana, GSuite, Zoom, Notion, and Figma; PMP/Scrum certifications and experience with business systems (billing platforms, Salesforce, NetSuite) are a plus. Figma emphasizes growth, offers equity and a comprehensive benefits package, with a base salary range of $140,000–$245,000 USD, equal opportunity employment, accommodations available, and expects candidates to keep cameras on during video interviews and attend in-person onboarding, with a Candidate Privacy Notice governing data.

Figma is seeking a Recruiting Manager to lead and develop a team of recruiters and sourcers, partnering with business leaders to align resources and scale hiring across multiple corporate functions during a hyper-growth phase, with the role remote in the US or based in US hubs. You will build a long-term recruiting strategy, design an efficient team structure, improve recruiting practices across all Corporate Functions, and lead complex change initiatives while championing a values-led culture. Requirements include 10+ years of recruiting experience with at least 4 years of people management, experience partnering with senior executives to drive recruiting strategy across multiple units up to Senior Director, and a demonstrated commitment to diversity, belonging, and inclusion; bonus if you have recruiting experience in Finance, Legal, People/Talent, or Marketing. The compensation package features an annual base salary range of $169,000–$296,000 USD, equity, and a broad benefits package including health/dental/vision, retirement with company contributions, parental leave, mental health benefits, paid time off and sick leave, and incentive programs. Figma is an equal opportunity employer that offers accommodations for applicants, requires cameras on during video interviews and in-person onboarding for new hires, and provides a Candidate Privacy Notice to applicants.

Figma is expanding its team and seeking a Recruiting Manager to lead a group of recruiters and sourcers, partnering with multiple business functions to scale hiring as the company grows globally. The role involves setting long-term recruiting strategy, building efficient team structures, driving best practices, leading complex change initiatives, and championing a values-led culture. Requirements include 10+ years of recruiting in competitive environments, 4+ years of people management, experience partnering with senior leaders, and a track record of scaling recruitment across multiple units with a focus on diversity and inclusion; experience in Finance, Legal, People, Talent, or Marketing is a plus. The position can be full-time from a US hub or remote in the United States, with an annual base salary range of $169,000–$296,000 plus equity and comprehensive benefits. Figma is an equal opportunity employer, provides accommodations for disabilities, requires camera-on during video interviews and in-person onboarding, and processes candidate data under its Candidate Privacy Notice.

Figma is expanding its Finance Data Science team to build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications, with a role that partners across Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams and can be based in the US or remotely. The responsibilities include owning and improving data models for key metrics (ARR, revenue, billings), building scalable reporting and forecasting systems, ensuring data accuracy during close processes, and conducting deep-dive analyses to inform strategic decisions while guiding leadership on reporting and forecasting. Qualifications call for 3+ years in data science/analytics/finance, advanced SQL and Python, experience supporting finance stakeholders, and the ability to translate complex data into actionable insights and drive projects independently. Optional but nice-to-have items include SaaS models experience, ASC 606 knowledge, familiarity with tools like DBT/Snowflake/Git/Spark/Presto, IPO readiness, and a background in Strategic Finance/FP&A or related fields. Figma highlights its Grow as you go culture, offers equity and a comprehensive benefits package, an annual base salary range of $140,000–$348,000, and equal opportunity employment with accommodations, along with policies about camera use during interviews and in-person onboarding.

Figma is growing its Finance Data Science team and seeks a Finance Data Scientist to help build the data foundation powering financial reporting, forecasting, strategic decision-making, and investor communications as the company scales. You will own and improve data models for metrics like ARR, revenue, billings, and collections; build scalable reporting systems and forecasts; drive data accuracy during month-, quarter-, and year-end closes; and collaborate across Engineering, Product, Finance, and Investor Relations. Requirements include 3+ years in data science/analytics/finance, advanced SQL and Python, experience supporting finance stakeholders, and the ability to translate complex data into actionable insights; plus preferred experience with SaaS/subscription models, ASC 606, and tools like DBT, Snowflake, Git, Spark, or similar, as well as IPO readiness exposure. This is a full-time role open to remote in the United States or from one of Figma's US hubs, with a base salary range of $140,000–$348,000 plus equity and a comprehensive benefits package, and a note that Figma encourages applicants even if their background isn’t a perfect match. Figma is an equal opportunity employer that offers accommodations for applicants with disabilities and requires camera-on during video interviews and in-person onboarding, with a Candidate Privacy Notice detailing data processing.

Figma is expanding its Data Science team to help product, engineering, design, marketing, sales, and operations make data-driven decisions, with internships based in San Francisco or New York. Interns will own a scoped project end-to-end—from framing the question with cross-functional teams to delivering the work—while analyzing user behavior, product performance, or business data and designing experiments and metrics. You’ll build models to understand user behavior and growth, develop and improve data pipelines and tools, and work on focus areas such as analytics, experimentation, or infrastructure. Desired background includes SQL and Python or R, a solid foundation in statistics, ability to structure questions and tie findings to decisions, and strong communication/collaboration skills; Figma encourages applying even if your past experience isn’t a perfect match. The internship pays $46/hour, includes housing stipend and travel reimbursement, adheres to equal opportunity and accessibility policies, requires in-person onboarding and cameras-on during video interviews, and is subject to the Candidate Privacy Notice.

Figma is hiring a Brand Events Manager within its Experiential Marketing team to strategize and deliver brand-focused events—from intimate gatherings to large-scale activations—that bring the brand to life. The role covers end-to-end event production, including concept development, creative direction, vendor and agency management, on-site execution, post-event analysis, and measuring impact against awareness and affinity, in collaboration with brand, creative, and comms teams. Requirements include 10+ years in event or experiential marketing with full lifecycle experience and team management, with Figma experience a plus, and the position can be based in US hubs or remotely within the United States. Compensation includes an annual base salary range of $153,000–$269,000, equity, and a comprehensive benefits package (health/dental/vision, retirement, parental leave, mental health support, PTO, etc.), with terms subject to plan details and location. Figma emphasizes diversity and inclusion, offers accommodations for applicants with disabilities, and requires candidates to keep cameras on during video interviews and to attend in-person onboarding if hired.

Figma is growing its team and seeks a Brand Events Manager to own the strategy and execution of brand-focused events, from intimate gatherings to large-scale activations, within the Experiential Marketing group. You will lead end-to-end production, including concept development, vendor management, on-site execution, and post-event analysis, while collaborating with brand creative to develop event identities and experiential elements and growing the Brand Events team. Requirements include 10+ years in event or experiential marketing or brand activations, experience managing the full lifecycle, and the ability to work with creative teams and external agencies; experience growing teams is preferred, and experience using Figma is a plus. Figma offers equity, a base salary range of $153,000–$269,000 USD, and a comprehensive benefits package (health, dental, vision, retirement, parental leave, mental health, PTO, etc.), with a commitment to equal opportunity and accommodations for disabilities. Additional notes include that candidates must keep cameras on during video interviews and onboarding is in person; compensation and benefits are subject to plan terms and may be modified, and roles can be remote in the US or based in a US hub.

Figma is seeking an Account Executive, Mid-Market to drive sales and revenue with mid-market customers (500-5000 FTEs) and shepherd enterprise-wide deployments of Figma’s platform. You’ll maintain a targeted book, use discovery and value-selling to build executive sponsorship, create account plans, and collaborate cross-functionally to move deals and ensure customer success. Requirements include closing SaaS software sales with a book of customers under 5000 FTEs, consistent pipeline generation, and experience managing 3-9 month complex sales cycles; it’s a plus to have experience selling to technical executives and relevant certifications. The role is full-time with a base salary of $110k, equity, and comprehensive benefits, and can be based in US hubs (in-office 2 days/week) or remotely in the United States, with in-person onboarding and cameras-on during video interviews. Figma emphasizes diversity and equal opportunity, offers accommodations for disabilities, and provides a Candidate Privacy Notice detailing data processing.

Figma is growing its team to make design accessible to all, offering a platform that supports brainstorming, prototyping, translating designs into code, and real‑time collaboration, with roles based in a US hub (in office 2 days/week) or remotely in the United States. The Account Executive, Mid‑Market will drive sales and maximize revenue with existing mid‑market customers (500–5000 FTEs), building and nurturing relationships with key decision-makers and aligning with executives on critical business priorities to secure enterprise‑wide deployments. You will develop account plans, multi‑thread at senior levels to expand opportunities, and collaborate with cross‑functional partners to position Figma and move deals forward while advancing executive relationships through in‑person meetings. Requirements include several years of software or SaaS sales closing with a book of customers under 5000 FTEs, consistent pipeline generation, and experience managing complex 3–9 month sales cycles, with a value‑based methodology; bonus points for selling to technical executives and for deal qualification certifications. Figma offers equity and a comprehensive benefits package, including health, dental, vision, retirement contributions, parental leave, mental health resources, PTO, and more, with an annual base salary of $110,000, a commitment to diversity and accommodations, cameras‑on during video interviews, in‑person onboarding, and a Candidate Privacy Notice governing data processing.

GitLab presents itself as an intelligent orchestration platform for DevSecOps used by 50 million+ users and more than half of the Fortune 100, with a culture that treats AI as a core productivity multiplier and values every voice. The Public Sector Solutions Architect role is to be a trusted advisor to U.S. government customers, owning technical evaluation and validation in the sales cycle, guiding proofs of concept and value, and connecting GitLab’s software capabilities to measurable business or mission outcomes. Responsibilities include engaging with public sector customers onsite or remotely, shaping account strategies with the sales team, owning POC/POV design and delivery, supporting tenders and audits, creating Customer Success Plans, building stakeholder relationships, advocating customer feedback internally, and running Value Stream Assessments. Qualifications include a background in technical pre-sales or IT (ideally with U.S. public sector clients), hands-on GitLab experience and familiarity with CI/CD, DevSecOps, and automation, cloud experience in regulated environments, ability to translate technical solutions into measurable outcomes, and strong communication and learning orientation. The role is part of GitLab’s Solutions Architect team, remote with country/location considerations, offering benefits like flexible PTO, ERGs, equity and employee stock purchase plan, with a United States salary range of $103,650–$197,550 USD, and a commitment to equal opportunity and recruitment privacy.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security/compliance, and digital transformation, with AI embedded in workflows and a high-performance, innovative culture. The Senior Executive Business Partner role is to support the CFO and the Office of the CFO in an AI-native operating model, requiring initiative, sound judgment, and the ability to work with high autonomy and speed. Key responsibilities include managing the CFO’s complex calendar, coordinating leadership cadences, preparing briefs, tracking action items, building relationships across teams, coordinating with People Ops/IT/recruiting, planning events and travel, and handling expenses, all while leveraging AI tools to reduce routine work. Ideal candidates will have substantial experience supporting senior executives in fast-moving environments, demonstrate ownership, excel at concise executive communication, be comfortable with in-person presence in San Francisco, and be proficient with tools such as Google Workspace, Slack, Zoom, Navan, and GitLab. The role sits within the Executive Business Administration team in a remote-first organization that hires globally, offers a range of benefits, and commits to equal opportunity and inclusion, inviting applicants from diverse backgrounds and emphasizing location-based eligibility where applicable.

Sentry is a software company that helps developers fix errors and performance issues before users notice, enabling teams to spend less time firefighting and more time building, and it is trusted by over 200,000 organizations as the current standard for application monitoring while building an AI-native future. As a Senior Software Engineer on the Issue Detection team, you will design, build, and operate systems that decide which events indicate problems, which belong together, and what developers need to investigate, working on real-time processing pipelines, monitors, and analysis systems that turn events into issues. You will build and scale features that process billions of events daily, own end-to-end projects, shape choices about grouping quality, search performance, migrations and backfills, and ensure reliability and fast performance for humans and AI agents. Qualifications include 5+ years of full-stack software engineering experience (ideally Python and TypeScript), strong domain modeling, distributed systems, data stores, and message queues, with excellent written and verbal communication, and experience with PostgreSQL, ClickHouse, or Kafka preferred. Sentry is committed to equal employment opportunities, maintains an inclusive culture and open-source ethos, provides accommodations for disabilities, and offers an Applicant Privacy Policy; accommodations can be requested at accommodations@sentry.io.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security/compliance risk, and accelerate digital transformation; it has over 50 million registered users and significant Fortune 100 trust, and AI is treated as a core productivity multiplier across workflows. GitLab emphasizes a high-performance, value-driven culture where careers accelerate, innovation flourishes, every voice is valued, and continuous knowledge exchange enables teams to solve complex problems with leaders in the field. The Tech Operations Specialist role in Enablement & AI, reporting to the VP of Enablement & AI, keeps the field organization's AI tooling running smoothly by maintaining tool inventories, an adoption/use-case library, tracking utilization, handling access requests, and ensuring AI data quality. The ideal candidate is early-to-mid level with some experience in enablement, sales/operations, or IT operations; they are organized, detail-oriented, curious about AI tooling, process-minded, collaborative, data-friendly, and aligned with GitLab’s remote, transparent values. The role is part of the CRO Enablement function, with GitLab offering remote, worldwide hiring and a comprehensive benefits package; the United States base salary range for this role is $95,200–$160,800, and GitLab emphasizes equal opportunity and accommodation for applicants of diverse backgrounds.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with AI embedded as a core productivity multiplier. GitLab notes broad trust from Fortune 100 and over 50 million users and describes a high-performance, values-driven culture where every voice is valued and AI is integrated into daily workflows. In this role, a U.S. Government Support Engineer operates remotely at the intersection of Support and Engineering to help public sector and federal agencies run GitLab in secure, constrained environments, including FedRAMP-authorized, air-gapped, and classified contexts. Responsibilities include deep Linux-based investigations, analyzing logs and application behavior, tracing root causes across infrastructure, documentation and knowledge sharing, building internal tools, and participating in on-call rotations and cross-functional pairing. Requirements include U.S. citizenship, strong Linux administration, familiarity with AI/LLM tooling and model-serving architectures, scripting in Ruby or Bash and Ruby on Rails, Git and CI/CD, DevOps and container platforms like OpenShift/Kubernetes, and knowledge of security/compliance concepts; the US base salary is $95,200–$160,800 plus benefits, and GitLab emphasizes equal opportunity and inclusive recruiting.

GitLab is an intelligent DevSecOps platform that aims to boost developer productivity, security, and digital transformation, trusted by millions and Fortune 100 companies, and it embeds AI into daily workflows within a high-performance, value-driven culture. The Strategic Account Executive for the Southeast will drive enterprise growth by helping influential organizations adopt and expand GitLab's AI-powered DevSecOps platform, guiding complex transformations and building a measurable Net ARR pipeline. You will lead end-to-end account strategies, coordinating with Solutions Architects, Customer Success, Sales Development, Channel & Alliances, and partners to deliver transformative solutions, map opportunities, and forecast progress. Requirements include experience selling complex B2B software to enterprise accounts (ideally in DevSecOps or adjacent SaaS), strong C-level relationship-building in the Southeast, multi-stakeholder selling, partner collaboration, and proficiency with GitLab and Salesforce in a remote, travel-enabled role. The US base salary range is $110,800–$186,600 with incentive pay up to 100%, plus benefits like PTO, equity, and parental leave; this range excludes bonuses, equity, and benefits, and GitLab is an equal opportunity employer.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and broad Fortune 100 adoption. The company embeds AI as a core productivity multiplier and fosters a high-performance, values-driven culture where every voice is valued and continuous knowledge exchange supports employee growth. The Seattle Strategic Account Executive role focuses on enterprise growth in the Seattle area, guiding influential organizations to adopt, implement, and expand GitLab’s AI-powered DevSecOps platform and building a strong enterprise portfolio with repeatable sales motions. You’ll lead end-to-end customer journeys, orchestrate cross-functional teams, craft strategic account plans, and communicate value and outcomes to stakeholders while forecasting and reporting on deal progress and account health. The role requires experience selling complex B2B enterprise software, familiarity with Seattle markets, ability to build C-level relationships and partner ecosystems, remote-first teamwork, a US salary range of $124,000–$186,600 plus bonus potential up to 100% of base, and comprehensive benefits, with GitLab affirming equal opportunity and inclusive hiring practices.

GitLab is an AI-powered DevSecOps orchestration platform that helps organizations boost developer productivity, operational efficiency, security, and digital transformation; more than 50 million registered users and over 50% of the Fortune 100 trust GitLab to ship better, more secure software faster, and the company embeds AI into daily workflows to drive efficiency, innovation, and impact. As the Strategic Account Executive for the Northeast, you’ll drive enterprise growth by helping influential organizations adopt, implement, and expand their use of GitLab’s AI-powered DevSecOps platform, guiding customers through complex digital and DevSecOps transformations and generating measurable Net ARR. You’ll lead end-to-end customer journeys, orchestrate multi-disciplinary teams, design strategic account plans, align stakeholders, and drive multi-threaded engagement to expand GitLab usage while delivering a consistent, high-quality experience across the sales cycle. The role requires experience selling complex B2B software to enterprise accounts in the Northeast, ability to build trusted C-suite relationships, knowledge of the regional market and industries, and comfort collaborating with channel partners while traveling as needed and operating in GitLab’s values. You’ll join a remote Enterprise Sales team with a US salary range of $110,800–$186,600, eligible for incentive pay up to 100% of base, and benefits including flexible PTO, equity, parental leave, and growth opportunities, with GitLab affirming equal opportunity and inclusive hiring practices.

GitLab is an intelligent orchestration platform for DevSecOps used by millions of users and trusted by many Fortune 100 companies, built around AI-powered productivity and a high-performance, values-driven culture. The role is Strategic Account Executive for San Francisco, focusing on enterprise AI-native companies to drive AI-powered DevSecOps adoption, Net ARR, and long-term expansion in the region. You’ll orchestrate cross-functional teams, design strategic account plans, and manage end-to-end customer journeys to grow GitLab’s usage among large AI-scale accounts, including AI labs and infrastructure providers. The ideal candidate has proven experience selling complex B2B software to enterprise SF accounts, credibility with C-level and technical leadership, familiarity with the AI/ML ecosystem, and the ability to collaborate with partners while traveling as needed in a remote team. Compensation includes a US base salary range of $124,000–$186,600 plus incentives, with benefits such as flexible PTO, equity, parental leave, and a strong commitment to equal opportunity and inclusive recruitment policies.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and over 50% of the Fortune 100 trusting it. The company culture centers on AI as a core productivity multiplier, with all team members encouraged to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. The role is Staff Product Manager—an internal platform PM embedded in the Revenue Lifecycle & Finance Systems team, owning the multi-quarter internal roadmap for QTC and Finance Systems (Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform). You’ll translate business strategy into sequenced capabilities, lead discovery with Finance and Sales stakeholders, govern the decision layer between business needs and engineering, mentor analysts, promote product-management best practices, and oversee major multi-quarter programs from discovery to go-live. Requirements include 8+ years in product management with at least 3 in internal/platform or enterprise PM roles, deep QTC domain expertise, experience with SOX and revenue recognition, multi-program delivery, and technical fluency to collaborate with engineering; the role sits in GitLab’s Revenue Lifecycle & Finance Systems within Enterprise Technology Architecture and supports the shift toward consumption-based offerings, with remote global eligibility and a strong commitment to equal opportunity.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity and security, with AI embedded in daily workflows and a culture that values collaboration and innovation. The role is Staff Security Engineer on the Infrastructure Security Team for GitLab Dedicated for Government, requiring US citizenship and residency and based in the United States. You will define technical direction and patterns for securing GitLab’s FedRAMP environment, own its security posture, lead multi-quarter infrastructure security initiatives, and perform threat modeling and remediation across federal systems. Qualifications include expert cloud security (AWS/GCP/Azure), Kubernetes, FedRAMP (Moderate/High), IaC tooling and policy-as-code, multiple programming languages, and experience applying AI to security workflows, plus strong communication and leadership skills. GitLab offers remote roles with benefits (flexible PTO, equity, parental leave), a US salary range of $168,000–$238,000, and is committed to equal opportunity and an inclusive work environment.