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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.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. - The Trust Engagement team consists of security and compliance professionals who help customers perform risk assessments to trust Atlassian Cloud products, and the Senior Manager will drive growth and expansion of how trust is earned and maintained. - Responsibilities include leading an AMER-based team, coordinating with Trust & Security, GTM/Sales, Compliance, Privacy, Legal, and Customer Support, driving process, tooling, and reporting improvements, and acting as the primary escalation point for strategic/enterprise customers, plus supporting executive briefings and assisting Legal with security terms. - On day one, candidates should have 10+ years in security/governance/risk/compliance management, experience mentoring teams, cross-functional influence, experience scaling trust programs, and familiarity with AI tools and AI security/compliance considerations, plus knowledge of certifications like FedRAMP, ISO 27001, and PCI-DSS. - The role is part of Atlassian’s rapid growth of the Trust Engagement team, aimed at delivering customer trust at scale through strategic initiatives across multiple departments.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products, while expanding the Trust program and narrative. - As Senior Manager, you will drive growth in how Atlassian earns and maintains customer trust, oversee interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and lead strategic improvements to processes and product features to strengthen customer engagement. - You will lead a high-performing AMER-based team, contribute to strategic planning with senior leadership, partner cross-functionally to deliver customer trust outcomes at scale, and handle strategic and enterprise customer escalations as well as support executive briefings and security/compliance term negotiations. - The role requires 10+ years in management across security, governance, risk, and compliance; experience mentoring teams; ability to influence multiple functions; experience scaling trust programs; familiarity with AI tools and AI security considerations; and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience with regulatory compliance and cloud security in large enterprises.

- Atlassian supports flexible work locations (office, home, or hybrid) and hires globally in any country where the company has a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals who help customers perform risk assessments to trust Atlassian Cloud products, valuing diverse thinking and collaboration. - The Senior Manager will drive growth and expansion of how Atlassian earns and maintains customer trust, overseeing interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, with a focus on improving practices and customer engagement and serving as the primary contact for strategic/enterprise escalations. - Responsibilities include providing leadership to an Americas-based team, shaping enterprise strategy with senior leadership, improving processes, tooling, and reporting, partnering cross-functionally on initiatives, supporting executive briefings, and assisting Legal in negotiating security and compliance terms for customer agreements. - The role requires 10+ years in security/GRC management, experience building high-performing teams and driving cross-functional change, a track record of scaling trust programs, familiarity with AI tools and AI security considerations, ability to brief executives, and knowledge of certifications such as FedRAMP, ISO 27001, and PCI-DSS in large-scale cloud environments.

Atlassian lets employees choose where they work and hires in any country where they have a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian’s cloud products. The Senior Manager will lead a high-performing AMER-based team and drive strategic enhancements to trust and security practices, processes, product features, and customer engagement, while coordinating with security, GTM, compliance, privacy, legal, and support. This role also acts as the primary escalation contact for strategic and enterprise customers, supports executive briefings, and ensures security and compliance terms are negotiated in customer agreements. Applicants should have 10+ years in security/risk/compliance leadership, a track record of scaling programs, experience with AI tools and AI security considerations, and familiarity with major certifications and large-scale enterprise cloud environments.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity, with the Trust Engagement team consisting of globally distributed security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud Products. As a Senior Manager, you will drive the growth and expansion of how Atlassian earns and maintains customer trust by overseeing the team’s interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, focusing on enhancing practices, internal processes, product features, and customer engagement. You will provide leadership to a high-performing AMER-based team, contribute to strategic planning with senior leadership, drive improvements in processes, tooling, and reporting, and partner cross-functionally to deliver customer trust outcomes at scale; you will also be the primary contact for strategic and enterprise customer escalations and support executive briefings and security/compliance negotiations in customer agreements. The role requires 10+ years in management across security, governance, risk, and compliance, experience mentoring teams, the ability to influence cross-functional stakeholders, a track record of scaling trust programs, familiarity with AI tools for efficiency and AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, and PCI-DSS, along with experience in regulatory compliance, global privacy programs, and cloud security in large enterprises. This position offers the opportunity to work with diverse teams to strengthen customer trust in Atlassian’s cloud products as the Trust Engagement team grows to meet the company’s ambitious objectives.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments to trust Atlassian Cloud products. The Senior Manager, Trust Engagement will drive growth, oversee interactions with Security, Go-To-Market, Compliance, Privacy, Legal, and Customer Support, and focus on improving practices and customer engagement. Key responsibilities include leading an AMER-based team, contributing to enterprise strategy, driving process and tooling improvements, and serving as the primary contact for strategic/enterprise customer escalations while supporting executive briefings and security/compliance term negotiations. Requirements include 10+ years in security/governance/risk/compliance, proven leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools for efficiency, knowledge of AI security/compliance considerations, and experience with certifications such as FedRAMP, ISO 27001, PCI-DSS, plus regulatory/privacy/cloud security experience.

Atlassian offers flexible work options, including in-office, remote, or hybrid arrangements, and hires people in any country where they have a legal entity. Their Future Org Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to help students start a successful, impactful career at Atlassian. The internship role is located in Seattle, WA or San Francisco, CA, and candidates must be willing to work there; it is not eligible for F1 or J1 students and not available for work sponsorship. The paid internship lasts 12 weeks (May/June to August/September 2027), with interns treated as part of the development team from day one, making code changes that impact products and gaining deep full lifecycle product development knowledge. Interns report to Senior Engineers and will brainstorm, design, and implement features for Atlassian products as part of a unified R&D effort prioritizing cloud migration and continuing to deliver value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options and hires in any country with a legal entity to support employees’ priorities. The intern program combines hands-on technical training, mentorship, professional growth, and social connections to prepare for a successful Atlassian career. The internship is a 12-week paid program in 2027, located in Seattle or San Francisco, and applicants must be willing to work from those locations; it is not eligible for F1/J1 students and offers no work sponsorship. Interns will join a development team from day one, contribute code that impacts products, and gain deep knowledge of full lifecycle product development while reporting to Senior Engineers. The engineering and R&D focus emphasizes helping customers move to the cloud and delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options (office, home, or a combination) and hires people in any country where they have a legal entity. The Public Sector Enterprise Advocate role requires deeply understanding customers, nurturing existing relationships, building new ones, and driving strategic account planning and value creation to migrate customers to Atlassian’s FedRAMP cloud. You will serve as the customer account lead, orchestrating cross-functional teams (such as Channel Partners and Solutions Engineers) throughout the customers’ Atlassian journey. You’ll act as a critical liaison between product and engineering executives and the customers to influence future roadmaps and improve the customer experience. The role seeks a customer-obsessed, creative Enterprise professional who can organize resources, excel in the Enterprise Sales process, and apply that knowledge to Atlassian’s sales model, reporting to the Director of Federal Sales.

At Atlassian, employees have flexible work options, collaborating from home, global offices, or both, and the company hires in any country with a legal entity. The Grad++ program provides hands-on technical training, professional growth opportunities, mentorship, and social connections to help students start an impactful career, with the described role located in Seattle, WA. The position requires you to be willing and able to work from Seattle and is not eligible for F1/J1 visas or any work sponsorship. You’ll build production-ready features for Jira, Confluence, and Trello, own end-to-end projects from design through deployment, and collaborate in Agile teams with engineers, product managers, and designers. You’ll also innovate with AI/ML, tackle complex problems in distributed systems and data processing, and use data-driven insights to validate assumptions and improve products.

Atlassian offers flexible work options (office, home, or hybrid), hires globally where there is a legal entity, and conducts interviews and onboarding virtually as part of a distributed-first approach. As a Senior Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and partnering with leading organizations to solve real-world problems. You’ll work with product, engineering, and design to rapidly grow your technical and domain expertise while delivering measurable business impact in a fast-paced, high-visibility role shaping the future of AI-powered teamwork. Your duties include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML solutions using Rovo, and building robust API/microservice integrations in Python or JavaScript while guiding product direction with customers. You’ll also oversee end-to-end production deployment, manage AI risk and data privacy compliance, mentor other engineers, and communicate complex concepts to technical and non-technical stakeholders, ensuring alignment of technical progress with business objectives.

Atlassian offers flexible work options and hires globally wherever it has a legal entity. The Onboarding Team helps strategic customers maximize value in the first 60-90 days, and Atlassian is seeking a Senior Manager to lead the global Onboarding Success Managers for the Teamwork Collection. In this role, you will lead a team to drive early customer outcomes through change management planning, success planning, and technical guidance, and help scale the onboarding program and processes. You will drive strategic engagement with enterprise customers, build executive relationships, proactively guide journeys using predictive signals and standardized frameworks to drive adoption and value realization, and maintain expertise on products, use cases, and industry trends while mitigating churn. You will champion the Voice of the Customer, share insights to influence products and services, and maintain operational excellence by keeping accurate records in Gainsight and adhering to engagement frameworks.

At Atlassian, you can work flexibly and the company hires globally wherever it has a legal entity. The goal is to shape the next era of teamwork with AI, with Rovo as an intelligent teammate that understands context and helps move work forward. The role is Senior Machine Learning Engineer on the Rovo Chat Quality team, building evaluation systems, datasets, quality signals, and production ML capabilities to measure and improve Rovo. Responsibilities include architecting scalable production ML and evaluation systems, advancing agentic capabilities (reasoning, planning, tool use, memory, long-horizon execution), closing the loop between evaluation and product impact, and leading cross-organizational initiatives while setting reusable quality standards. The ideal candidate has a track record shipping large-scale ML/AI systems with measurable impact, deep experience with LLM-powered products and agentic systems, strong production engineering and technical leadership, and the ability to mentor others and communicate clearly.

Atlassian is seeking a Commercial Counsel to join its Enterprise Sales-focused Commercial Legal team for the Central/West US region, with coverage also in LATAM and Canada; the role is remote with an option to work from an Atlassian office. You will negotiate SaaS agreements with major enterprise customers, handling the process from drafting and redlining to execution, exhibit coordination, approvals, record management, and post-execution support and compliance. You’ll provide pragmatic, business-minded guidance on customer requests, review requests with internal partners, and obtain internal approvals for modifications to standard terms or processes as needed. You will draft terms and coordinate with Product, Engineering, and Compliance to support sales to highly-regulated customers. You should be able to own your work, collaborate across a decentralized, global organization, translate complex SaaS contracting to non-legal colleagues, manage risk while getting deals done, and apply knowledge of software, cloud services, and AI-related issues to generate creative, risk-based solutions.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity, giving employees control over family, personal goals, and priorities. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and shape the future of AI-enabled teamwork. You’ll lead the design, development, and deployment of AI/ML solutions, architect integrations using Python/JavaScript with a focus on APIs, microservices, and enterprise-scale systems, and extract insights from data to guide product direction. You’ll drive the adoption of AI-augmented workflow automation, oversee end-to-end production deployments, ensure continuous evaluation and improvement, and navigate AI risk, data privacy, and regulatory considerations while mentoring junior engineers. You’ll also communicate complex technical concepts to both technical and non-technical stakeholders and align technical solutions with business objectives to achieve measurable results.

Atlassian offers flexible work options—office, home, or a hybrid arrangement—to help employees support family and personal goals. They hire in any country with a legal entity, but the role is fully remote and requires residing in US Pacific or Mountain time zones. They are seeking a Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include building REST APIs that power core customer experiences and developing customer-facing React components. Additional duties involve configuring monitoring for backend services, building CI/CD pipelines, integrating with a content management system, and delivering reliable features and services.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally in countries where it has a legal entity to support employees’ family and personal priorities. The company is investing in its largest, most strategic customers, partnering with 82% of the Fortune 500 and teams at IBM, Tesla, Dish, Lufthansa, and others, with Account Management focused on deepening relationships and delivering value across solutions. The role described covers the LATAM region and requires full fluency in Spanish, with goals to accelerate revenue growth, ensure strong retention, and drive expansions including upsell, upgrade, and cross-sell. Responsibilities include developing senior and executive relationships, managing high-value renewals and expansions, and collaborating with the Global Sales Team on account planning and driving total book of business growth. Additional duties involve staying current with product updates, communicating improvements to customers, guiding growth opportunity management, and ensuring accurate forecasting and project documentation.

Atlassian offers flexible work options—office, remote, or hybrid—with global hiring and virtual interviews and onboarding as part of its distributed-first approach. The Agentic AI Integrations team will serve as the backbone for AI integrations across the Atlassian ecosystem, including the Rovo MCP Server and agent-to-agent integrations, leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps. The role is for those passionate about bleeding-edge AI, turning prototypes into scalable enterprise-grade AI products used by thousands of developers and enterprise users, with a focus on ML performance, latency, token efficiency, tool discovery, context optimization, observability, and semantic retrieval. Responsibilities include designing and evolving MCP servers, tools, and agent-facing APIs; building accessible React/TypeScript experiences; creating reusable components and design-system patterns; integrating GraphQL/REST APIs, SDKs, streaming and real-time data; and improving end-to-end performance, reliability, observability, SLOs, and diagnostics, as well as semantic retrieval with embeddings, vector indexes, and hybrid search. They also mandate defining AI/ML quality programs with metrics and automated evaluations integrated into CI/CD, and implementing enterprise security and governance—OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. - The Agentic AI Integrations team is responsible for MCP Server and agent-to-agent integrations, aiming to advance Atlassian value by leveraging AI capabilities such as Claude Skills and ChatGPT/Claude Apps within the Atlassian ecosystem. - The role focuses on bleeding-edge AI technologies to build scalable enterprise-grade AI products used by thousands of developers and enterprise users, with emphasis on ML performance and systems. - Core work includes designing and evolving MCP servers, tools, and agent-facing APIs; developing accessible React/TypeScript experiences; and integrating GraphQL/REST, streaming, and real-time data, plus semantic retrieval with embeddings and hybrid search. - Additional priorities cover defining AI/ML quality programs, integrating automated evaluations into CI/CD, improving observability and reliability with SLOs, and implementing enterprise security measures such as OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and safe confirmation flows.

At Atlassian, employees can work from an office, from home, or in a hybrid setup, and the company hires globally where it has a legal entity with virtual interviews and onboarding as part of its distributed-first approach. The Agentic AI Integrations team works on the Rovo MCP Server and agent-to-agent integrations, leveraging cutting-edge AI capabilities like Claude Skills and ChatGPT/Claude Apps to advance AI integrations across the Atlassian ecosystem. The role focuses on exploring bleeding-edge AI tech, rapidly prototyping to building scalable enterprise AI products used by thousands of developers and enterprise users, with emphasis on ML performance, latency, tool discovery, context optimization, observability, automated evaluations, and semantic retrieval. It also involves designing, building, and evolving MCP servers, tools, and agent-facing APIs, plus creating accessible React/TypeScript front-ends, reusable components, design-system patterns, and robust API integrations (GraphQL/REST, SDKs, streaming, real-time data) to enable easy discovery and use. Finally, the position stresses AI/ML quality programs, CI/CD evaluations for regressions, and enterprise security measures (OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions).

Atlassian allows Atlassians to work from an office, home, or a hybrid setup and hires globally with virtual interviews and onboarding as part of being a distributed-first company. As a Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team, you will lead a group of application and software engineers to modernize Finance Operations using Oracle Fusion Cloud and other SaaS, driving transformations, automation, AI/ML, and finance priorities from design to launch. You will maximize Fusion Cloud features, own Core Financial modules (OM, AR, AP, FA, GL), drive run-the-business and cross-team initiatives, and oversee integrations with a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass) while ensuring OKRs and SOX compliance with Internal Audit. The role emphasizes an automation mindset (RPA, low-code/no-code), collaboration with engineers, data scientists, and product managers, and a tangible impact on the reliability and performance of Finance systems across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit, including tackling complex architectural challenges and high-risk bug fixes. Qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and related SaaS, experience leading transformations, automation tools (RPA, Workato, Camunda), exposure to systems like Salesforce and Databricks, familiarity with AI/ML, 24x7 operations, strong interpersonal and communication skills, and a passion to make a difference.

At Atlassian, employees can work in the office, from home, or a hybrid, and the company hires globally with virtual interviews as part of its distributed-first approach. The Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team will work on Oracle Fusion Cloud and other Finance SaaS applications to modernize Finance Operations through transformations, automation, AI/ML, and related priorities, leading a team of application development and software engineers. Responsibilities include running the business and projects from design to launch, maximizing Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), ensuring OKRs, and fostering an automation mindset with RPA and low-code/no-code tools with exposure to AI/ML. The role also involves leading integrations within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), collaborating with Internal Audit for SOX compliance, and delivering tangible, high-visibility impact across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and other SaaS, experience with transformations and automation/BRE tools, familiarity with Salesforce and Databricks, exposure to AI/ML, comfort operating a 24x7 highly reliable system, and strong communication skills.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of its distributed-first model. The Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team will work on Oracle Fusion Cloud and other Finance SaaS to modernize Finance Operations through transformations, automation, AI/ML, and other priorities. You will lead a team of application development engineers and software engineers, drive run-the-business and projects from technical design to launch, and collaborate with internal customers to set expectations and communicate results. The role includes maximizing Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), fostering an automation mindset with RPA and low-code/no-code tools, and maintaining integrations with a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.) while ensuring metrics-driven outcomes and SOX compliance. Key qualifications include Core Finance domain expertise, Oracle Fusion Cloud and other SaaS experience, 9+ years as a hands-on senior engineering manager, transformation and automation tool experience, AI/ML exposure, 24x7 reliability, and strong interpersonal and communication skills.

Atlassian operates as a distributed-first company with flexible work locations and virtual interviews, hiring in any country where it has a legal entity. The paid internship runs for 12 weeks in Summer 2027 (May/June 2027–August/September 2027) and requires working in the Pacific Time Zone, with no visa sponsorship and it is not open to F1/J1 students. As a Product Design Intern, you'll tackle real design challenges for AI-first collaboration tools, collaborating with designers, product managers, engineers, and researchers across Atlassian's global team. You will apply interaction, visual, and systems design to translate customer problems into simple product experiences, use research and prototyping, and contribute to design systems and documentation while exploring AI-native teamwork. Candidates must be enrolled in a 4-year bachelor’s or 2-year master’s program, returning after the internship and graduating by June 2028, with less than a year of professional experience; preferred qualifications include user-focused design experience and strong multi-project planning and cross-team collaboration skills.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally in countries where they have a legal entity. The Principal, Customer Success Portfolio Design & Transformation role is to design and build Atlassian’s enterprise customer success portfolio and engagement frameworks across segments, including initiatives like success planning, value realization, onboarding, and product adoption. It involves designing and rolling out a go-to-market approach aligned with customer milestones and business goals, and working cross-functionally with CS, Product, Sales, Strategy, and Revenue Operations to deliver consistent, high-impact customer experiences throughout the enterprise journey. The position sits at the intersection of strategy and structural design, leading transformation with CSM leaders, driving a shift to solution selling, optimizing workflows with data-backed strategies, and incorporating CMS activities into LOS design for digital and self-service, while defining GTM plays and delivery motions by segment, tier, and need. Additional duties include applying enterprise adoption theories and change management, partnering with Product and Solution Factory to create a scalable launch framework, defining a value framework to demonstrate ROI, and building a scalable enablement program with assets and partnerships with Education and self-service teams.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction. You’ll make sound trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to the code and operational reality, and you’ll influence across teams and geographies, partnering with product and engineering leaders to raise engineer effectiveness through coaching and standards. Responsibilities include defining and delivering the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads; leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities; and owning end-to-end outcomes for ambiguous cross-team initiatives. You’ll advance portable, cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, champion operational excellence for a tier-0 platform, improve developer experience through self-service APIs and clear platform contracts, and mentor engineers to grow an inclusive, high-performing team; success is measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and greater leverage across Atlassian.

- Atlassians can choose where to work (office, home, or hybrid) and Atlassian hires in any country with a legal entity. - As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you’ll own highly complex, high-impact outcomes from problem definition to production, applying deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction. - You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to code and operations, and you’ll influence across teams and geographies while mentoring engineers. - Responsibilities include defining the technical strategy for secure, low-latency compute for AI agents and untrusted workloads, and leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities, owning end-to-end cross-team initiatives. - You’ll enable portable cloud-native execution across GCP and AWS, champion operational excellence for a tier-0 platform, improve developer experience with self-service APIs and clear contracts, and set direction through proposals while growing an inclusive, high-performing team.

- Atlassian supports flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, giving employees more control over personal priorities. - Loom is Atlassian’s async video product that lets teams share quick video walkthroughs or updates instead of long messages or meetings, and it now integrates into Confluence with AI-generated transcripts and summaries through Rovo. - Loom is trusted by millions and is entering a new phase that expands how asynchronous video helps people and AI agents collaborate. - Joining the Loom Analytics team means shaping the product’s direction at the intersection of product strategy, customer insight, and experimentation, through cross-functional collaboration and rigorous quantitative analysis. - The role focuses on developing hypotheses, testing opportunities to improve the product and business, forecasting and monitoring key metrics, and storytelling insights to influence roadmaps and leadership decisions.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. In this role you’ll lead high-impact incident response in a complex cloud environment, coordinate major security incidents, and directly manage a 5–8 person team in the US region. You’ll improve the incident response system with playbooks, metrics, exercises, post-incident reviews, and better tooling, and you’ll drive the adoption of investigative AI tools and automation to speed triage, surface signals, reduce toil, and maintain rigorous security. You should bring strong incident leadership, experience guiding multi-stakeholder incidents in SaaS/cloud/enterprise settings, and proven ability to translate technical information into executive decisions, plus familiarity with logs, detection/response tooling, and cross-region coordination; experience with regulated environments or formal incident reporting is valued. The team culture emphasizes calm execution, clear communication, continuous learning, blameless reviews, and accountability, and the role offers a rare opportunity to shape Atlassian’s security operations, investigate AI-enabled workflows, and improve outcomes for customers.

Atlassian offers flexible work locations and hires in any country with a legal entity; in this role you’ll lead high‑impact incident response in a complex cloud environment, coordinate across functions, and directly manage a 5–8 person US regional team responsible for investigation, containment, recovery, and follow‑through. You’ll coach incident responders, raise investigation quality, and improve the incident‑response system through playbooks, metrics, exercises, post‑incident reviews, and better tooling, including driving the adoption of investigative AI tools and automation to triage faster and surface signals without harming judgment or security rigor. You’ll support regulated and high‑trust environments and bring experience leading multi‑stakeholder security incidents in SaaS, cloud, or enterprise settings, with strong executive communication and the ability to translate technical information into clear decisions, risks, and next steps. What will set you apart includes prior incident commander or major incident management experience for high‑severity cyber incidents, experience with regulated contexts, scaling follow‑the‑sun incident response, and implementing AI‑assisted workflows, along with using operational metrics to guide investments. The team culture values calm execution, clear communication, collaboration, blameless reviews, measurable improvement, and psychological safety, and this role matters as a rare opportunity to shape Atlassian’s major incidents, mature security operations, and advance investigative AI and automation in partnership with senior leaders to improve outcomes for customers.

Atlassian offers flexible work locations and global hiring, and this role leads high-impact incident response in a complex cloud, coordinating with Detection, Security Engineering, Legal, Crisis Communications, Support, and senior leadership while directly managing a US-based team of 5–8. You’ll coach incident responders, improve investigations and executive communication, and enhance the incident response system through playbooks, metrics, exercises, post-incident reviews, and better tooling, including adopting investigative AI and automation to speed triage without compromising security rigor. The role requires supporting regulated and high-trust environments with formal incident handling, reporting expectations, and documented operating procedures. Ideal candidates have proven experience leading multi-stakeholder security incidents in SaaS/cloud/enterprise settings, developing senior engineers, strong executive communication, and hands-on familiarity with detection/response tooling, cross-region coordination, and deploying AI tools. This is a rare opportunity to influence Atlassian’s security operations, incident response maturity, and the responsible use of investigative AI at scale, while fostering a culture of calm execution, collaboration, continuous learning, psychological safety, and accountability.

Atlassian offers flexible work locations and global hiring, and this role leads high-impact incident response in a complex cloud environment, coordinating with multiple teams and directly managing a US-based team of 5–8, while developing playbooks, metrics, exercises, post-incident reviews, and tooling, including AI-assisted automation. You’ll support regulated environments and formal incident handling, requiring strong incident leadership in SaaS/cloud/enterprise contexts and experience developing senior security engineers and incident responders, with clear executive communication. The role demands hands-on expertise in investigation workflows, detection and response tooling, log analysis, cross-region coordination, and experience deploying investigative AI tools to reduce toil and speed investigations, all guided by calm, structured decision-making under pressure. What will set you apart includes incident commander experience for high-severity cyber incidents, work in regulated or government-FedRAMP-adjacent contexts, scaling follow-the-sun incident response, and implementing AI-assisted workflows and external security engagements. The team culture emphasizes calm execution, clear communication, continuous learning, blameless reviews, measurable improvement, and psychological safety, making this a rare opportunity to shape Atlassian’s major incident response, mature security operations, and deliver better outcomes for customers.

Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity. In this role you’ll lead or coordinate high‑impact security incidents in a complex cloud environment, working with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership, and you’ll directly manage a 5–8 person team in the US region. You’ll improve the incident response system through playbooks, metrics, exercises, post‑incident reviews, and better tooling, and drive the adoption of investigative AI tools and automation to speed triage, surface relevant signals, reduce toil, and improve consistency without compromising judgment or security rigor. You should bring a strong mix of incident leadership, operational maturity, and people leadership, with experience leading multi‑stakeholder security incidents, strong executive communication, metrics‑driven program improvement, hands‑on tooling, and experience deploying investigative AI in security operations, plus systems thinking and calm decision‑making under pressure. This role offers a rare opportunity to shape Atlassian’s major incident response, mature its security operations at scale, influence the responsible use of investigative AI, and build durable systems and better outcomes for customers, within a team culture that values calm execution, collaboration, blameless reviews, psychological safety, and continuous learning.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The company seeks an experienced analyst relations practitioner with deep industry analyst insight and strong DevOps and AI analyst relationships to drive its AI Software Delivery program. In this role, you’ll translate AI innovation into compelling analyst narratives, influence key research, and help Atlassian maintain leadership in priority growth markets as part of a global communications team reporting to the Head of Analyst Relations. You will build and maintain relationships with analysts at firms like Gartner, Forrester, and IDC, drive favorable positioning in evaluations (Magic Quadrants, Waves, MarketScapes), and translate analyst insights into actionable intelligence for product and marketing. Qualifications include 3-5 years of Analyst Relations experience with a SaaS provider, understanding of the analyst landscape and developer-focused analysts, and a proven ability to deliver a strategic AR program in partnership with cross-functional stakeholders.

At Atlassian, employees can choose where to work (office, home, or hybrid) and the company can hire in any country with a legal entity. The Principal Enterprise Security Engineer serves as the senior technical authority and strategic thought leader across corporate architecture, SaaS platforms, and workforce technologies, driving long-term vision and safeguards that protect assets while enabling agility. Key responsibilities include strategic leadership to define and maintain the end-to-end enterprise security architecture blueprint (endpoint, identity, network, data) and leading architectural reviews of major initiatives such as AI adoption, zero-trust modernization, and vendor onboarding. The role provides technical SME guidance, influences platform and service design with risk-based recommendations, and drives automation of controls and drift detection (IaC/PaC) to improve productivity and speed of change via CI/CD for policy/configs. Collaboration involves partnering with security, engineering, and product teams, serving as the architecture liaison to unify security strategy across enterprise and customer-facing environments, and mentoring security engineers across corporate domains.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, enabling employees to balance family, personal goals, and other priorities. The Principal Enterprise Security Engineer is the senior technical authority and strategic thought leader for corporate architecture, SaaS platforms, and workforce technologies, driving the long-term vision and controls to safeguard assets while enabling scalability and innovation. Key responsibilities include defining and maintaining the end-to-end enterprise security architecture across endpoints, identity, network, and data, and leading architectural reviews of major initiatives such as AI adoption and zero-trust modernization. They provide technical SME guidance, influence platform and service design to embed security from the outset, and automate control deployment and drift detection via IaC/PaC to shorten time-to-adoption. Collaboration involves working with security, engineering, and product teams, serving as the architecture liaison between Corporate Security and Product Security, and mentoring engineers across multiple seniority levels to promote a unified security strategy.

This role is Principal Data Scientist on Atlassian’s Global Experiences Data Science team, sitting at the intersection of cutting-edge analytics and customer-facing products and reporting to the Manager of Global Experiences Data Science to influence how millions experience Atlassian’s suite. You’ll lead the full data science lifecycle—from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders—and act as a force multiplier by partnering with Product, Engineering, and Design to drive outcomes at scale. You’ll define and drive the data science strategy for your product area, translate ambiguous business problems into rigorous analytical frameworks, and lead end-to-end development of ML models and statistical analyses, including problem framing, data acquisition, experimentation, deployment, and ongoing evaluation. You’ll own experimentation infrastructure and methodology for your domain (A/B test design, power analysis, interpretation of results at scale), identify high-impact opportunities through exploratory analysis, and mentor junior and mid-level data scientists while contributing to hiring and capability-building. You’ll communicate findings to senior stakeholders, collaborate to define metrics frameworks and guardrail metrics, and drive adoption of best practices in feature engineering, model monitoring, and responsible AI/ML across teams.

DX is a Salt Lake City–based, fast-growing SaaS company that helps engineering leaders improve developer productivity by collecting millions of data points and serving customers like Pinterest, GitHub, BNY, and Xero. The company has grown profitably, tripling annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. The role is a Commercial Account Executive, hiring in EST and CST, partnering with DX’s largest customers and prospects to uncover pain points in measuring and improving productivity and to position DX as a strategic partner. Responsibilities include developing an outbound strategy with SDRs, mastering the sales process, creating tailored buying documentation, guiding proof-of-concept evaluations, establishing DX as a driver of customers’ business goals, and collaborating across an AMER/LATAM territory with cross-functional teams. DX emphasizes mastery and high performance, rewarding top achievers while acknowledging that outcomes depend on factors beyond control.

DX is a fast-growing SaaS company based in Salt Lake City that helps engineering leaders improve developer productivity and experience by collecting millions of data points used by companies like Pinterest, GitHub, BNY, and Xero. It has scaled profitably, tripling its annual recurring revenue in recent years, and it recently closed an acquisition by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. The Commercial Account Executive role (open to candidates in EST and CST) will partner with DX’s largest customers and prospects to uncover pain points around measuring and improving productivity, support proofs of concept, and build long-term business cases for adoption. Responsibilities include developing an outbound strategy with SDRs, mastering the sales process, creating tailored documentation, guiding proofs of concept, establishing DX as a pivotal driver of customers’ business goals, and collaborating across AMER and LATAM accounts. DX emphasizes individual mastery and high performance, rewarding those who excel even as outcomes may be influenced by external factors, with a large territory and strong support from SDRs, SAs, and leadership.