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GitLab is described as the intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by 50 million+ users and many Fortune 100 companies. AI is embedded as a core productivity multiplier across the company, which also promotes a high-performance culture where every voice is valued and knowledge is continuously shared. The role is a strategic, staff-level leadership position in the Growth Marketing ABM team, responsible for managing a target account segment, launching vertical-focused campaigns, and refining measurement and tooling with autonomy to drive initiatives. The ideal candidate has extensive B2B marketing experience in enterprise SaaS, a proven ability to run scalable multi-tier ABM programs with solid Sales alignment, and skills in marketing tech evaluation, jobs-to-be-done segmentation, and pipeline metrics. The position offers a United States salary range of $139,200–$235,200, is remote with country eligibility considerations, and provides benefits such as PTO, equity, parental leave, ERGs, and an equal opportunity employer policy with accommodations available.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, security, and digital transformation, with over 50 million users and Fortune 100 adoption, and AI embedded as a core productivity multiplier. The culture emphasizes high performance, values, knowledge sharing, and co-creating the future of software development in an inclusive environment. The role is a Senior Security Engineer, Threat Intelligence (TI), the sole dedicated member of a Threat Intelligence team within Security Operations, responsible for delivering actionable intelligence to anticipate threats to GitLab and the software supply chain, leveraging Python and automation to expand capabilities. Responsibilities include monitoring the threat landscape, administering the Threat Intelligence Platform, supporting incident response and malware analysis, collaborating on Purple Team Flash Operations, building industry relationships, and writing code to automate processes. Required qualifications include a proven track record of delivering actionable intelligence, TI platform experience, OSINT and analytical methods, Python scripting, and strong communication, with optional malware reverse engineering and open-source TI work; the role reports to a Security Manager in Australia, with a US salary range of $140,000–$200,000, and is remote with global hiring and a commitment to equal opportunity and accommodations.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security, and digital transformation, with 50 million+ users and Fortune 100 trust. The company embeds AI as a core productivity multiplier and sustains a high-performance, inclusive culture where every voice is valued. The Senior Lifecycle Marketing Manager will strategize, execute, and optimize data-driven lifecycle communications for product-led and self-service audiences, partnering with Product Growth, SMB Sales, Marketing Ops, Data, Product Marketing, Campaigns, and regional teams to drive activation, conversion, and revenue growth. Responsibilities include creating automated lifecycle journeys, leading end-to-end campaigns, enabling free-to-paid and trial-to-paid conversions, and serving as an email marketing SME across segmentation, personalization, testing, and QA. Requirements include 5+ years in lifecycle/email/CRM growth marketing (preferably B2B SaaS), Marketo or Iterable expertise, strong cross-functional skills, HTML/CSS familiarity, and a US salary range of $115,200–$194,400, with remote work and comprehensive benefits; GitLab is an equal opportunity employer.

GitLab is the intelligent orchestration platform for DevSecOps that aims to boost developer productivity, efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier in its culture. The role is Senior FP&A Analyst on the Corporate FP&A team, responsible for making GitLab predictable and well-capitalized by translating complex financial data into actionable insights and owning company-wide planning, forecasting, and modeling in a fast-moving, remote environment. You’ll lead revenue forecasting for ARR, churn, and expansion, build models and reporting to support leadership, automate close and planning workflows with AI-enabled analysis, and collaborate with accounting and compensation to meet shared needs. The team operates asynchronously across a global, distributed organization and focuses on automation, stronger revenue modeling, and practical use of AI tools, with benefits including Flexible PTO, equity, growth funds, parental leave, and a US salary range of $115,200–$194,400, plus worldwide remote eligibility. GitLab is an equal opportunity employer with a comprehensive privacy policy and inclusive hiring practices, encouraging applicants from diverse backgrounds and accommodating needs during recruitment.

GitLab is an intelligent orchestration platform for DevSecOps that aims to increase developer productivity, efficiency, and security while accelerating digital transformation, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Senior Director of Production and Tenant Platform Engineering will lead the foundational teams responsible for the platform’s reliability, scalability, and lifecycle, uniting Tenant Experience and Production Engineering to support multi-tenant SaaS and self-managed deployments. Key responsibilities include defining a unified platform strategy, driving operational excellence and reliability, scaling engineering leadership, evolving platform architecture, fostering cross-functional partnerships, translating strategy into actionable roadmaps, and building standardized interfaces across modular services. The ideal candidate brings executive-level experience leading large, distributed engineering organizations in high-scale environments, deep production and platform engineering expertise, strong architectural judgment, change-management skills, and a demonstrated alignment with GitLab’s values and focus on reducing toil. The role sits in the Production and Tenant Platform team within GitLab’s Infrastructure Platforms, with remote-work option, a US salary range of $168,000–$285,600, comprehensive benefits, and a commitment to equal opportunity and non-discrimination.

GitLab is an intelligent DevSecOps orchestration platform trusted by more than 50 million registered users and over 50% of the Fortune 100, with AI embedded as a productivity multiplier and a values-driven, inclusive culture. The Revenue Technology Analyst role on GitLab's Revenue Tech team supports and maintains the go-to-market tech stack across 10+ tools, partners with Revenue Operations, IT, Enablement, Privacy, Legal, and Finance, and helps translate business needs into technical solutions while building clear documentation in an all-remote environment. You’ll execute the technical roadmap for the revenue lifecycle, provide end-user provisioning and support, handle stakeholder requests, identify gaps in processes and tooling, drive evaluations and expansions of the stack, and coordinate vendor activities. Qualifications include experience in Sales/Revenue Operations or analytics, hands-on work with at least two revenue tools (e.g., Gong, Clari, Outreach, ZoomInfo), understanding of data integrations and automation, ability to leverage AI in daily workflows, strong analytical and communication skills, and comfort working in a fully remote, asynchronous setting; AI/automation exposure is a plus. The role is remote, US salary range $95,200–$160,800, with benefits, equity, growth opportunities, and inclusive hiring practices; GitLab is an equal opportunity employer offering accommodations and detailing location-based eligibility.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation, with over 50 million users and Fortune 100 trust, and AI is embedded as a core productivity multiplier. As a Backend Engineer on the Tenant Scale: Git team, you’ll help improve Git and Gitaly to be more capable, reliable, and scalable, contribute to upstream Git, and connect open source discussions with GitLab product needs. You’ll participate in architectural decisions, implement features, bug fixes, and performance improvements upstream, adapt Gitaly to new Git capabilities, align open source work with product direction, scope tasks, estimate effort, and test for correctness and reliability. Required experience includes building instrumented software, knowledge of Git internals or operating Git servers, production-quality C, contributing to open source, familiarity with Go and Linux internals, and interest in large-scale distributed systems. The Tenant Scale: Git team collaborates across regions, contributes to open source, and GitLab offers remote worldwide roles with benefits and an inclusive, equal-opportunity environment, along with location considerations and a privacy policy.

GitLab presents itself as the intelligent orchestration platform for DevSecOps, trusted by more than 50 million registered users and over 50% of the Fortune 100, and it embeds AI as a core productivity multiplier across the company. The role of Financial Planning and Analysis Manager, R&D, is a senior FP&A position reporting to the Director of FP&A, responsible for providing data-driven support for critical decisions, managing headcount and vendor spend, coordinating forecasting and annual planning, and developing financial models to improve predictability. Key responsibilities include partnering with Product and Engineering leadership, managing headcount and vendor spend, coordinating monthly forecast cycles and annual planning, translating financial data into clear narratives for executives, and driving projects to enhance data-driven decision making and operating efficiency. The candidate should have experience as a finance business partner with strong modeling skills, the ability to influence cross-functional stakeholders, and the capacity to prioritize and lead complex projects, with familiarity with Adaptive Planning or NetSuite and cloud hosting spend being helpful but not required. GitLab offers remote, all-remote work options, a comprehensive benefits package, and a commitment to equal opportunity and inclusive hiring, with global eligibility and privacy considerations addressed in its policies.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Staff Product Designer role will lead design for cross-cutting platform experiences (starting with Knowledge Graph), requiring deep collaboration with Product Management, Engineering, and other designers to translate ambiguity into clear direction and deliver improvements across workflows for developers and DevSecOps teams. You’ll own end-to-end design, define tactical deliverables and strategic platform-vision outputs, partner cross-functionally, elevate craft, contribute to the Pajamas Design System, mentor teammates, and ground work in usability research with UX Research collaboration. Qualifications include a proven ability to lead complex, cross-functional projects, a strong end-to-end portfolio, mentoring experience, proficiency with Figma and prototyping, excellent communication, systems thinking, and experience with design systems and developer tools; remote-EMEA experience is noted. The role is remote with a United States salary range of $165,000–$200,000 USD, plus benefits, equity, and growth opportunities, and GitLab is an equal opportunity, inclusive employer with comprehensive policies and accommodations for applicants.

GitLab presents itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, efficiency, security, and digital transformation, with over 50 million users and more than half of the Fortune 100 trusting GitLab, and it embeds AI as a core productivity tool. The role is Site Reliability Engineer in Infrastructure Platforms, focused on keeping GitLab’s user-facing services reliable at scale, with a single, holistic application process that matches candidates to the best-fitting team rather than a preselected team. The hiring process includes a recruiter screen, core technical, peer technical, hiring manager, and skip-level interviews, with level calibration from Intermediate to Senior Staff across multiple teams and final placement based on performance and hiring needs. Responsibilities include maintaining reliability and scalability, building automation and infrastructure-as-code, operating Kubernetes production systems, contributing to observability and incident response, and documenting learnings; qualifications cover automation tooling, IaC, Kubernetes, cloud providers (GCP/AWS), Go or Ruby, and strong communication with an openness to AI-assisted tooling. The role is remote, with a US salary range of $126,400–$314,400, plus benefits and equity, and GitLab commits to equal opportunity employment and accommodations, noting country-specific hiring guidelines and location eligibility.

- GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and more than half of the Fortune 100. - The company embraces AI as a core productivity multiplier and maintains a high-performance culture where every voice is valued and AI is incorporated into daily workflows. - The Senior Engineering Manager role drives non-linear productivity by building and leading a small, autonomous pilot squad of four engineers to identify and fix the highest-leverage friction points in GitLab's SDLC, measured by system-level metrics such as MRPM, pipeline success rate, and pipeline latency. - Responsibilities include defining the operating model, personally sourcing the four engineers, setting direction, conducting hands-on technical exploration to baseline metrics and validate fixes, delivering durable improvements, ensuring adoption, and reporting outcomes to leadership. - The base salary range is $190,000–$245,000 USD for US residents, with remote worldwide eligibility, comprehensive benefits and equity, and GitLab is an equal-opportunity employer with policies on privacy and inclusion.

GitLab presents itself as an intelligent DevSecOps orchestration platform trusted by over 50 million registered users and more than 50% of the Fortune 100, emphasizing AI as a core productivity multiplier and a high-performance, inclusive culture. The role, Hyperscaler Operations Manager in Ecosystem Operations, combines governance of AWS and GCP partnerships with executing hyperscaler initiatives, acting as the operational architect of GTM and the primary process owner for marketplace, co-sell, and funding operations. Responsibilities include establishing and continuously improving end-to-end marketplace processes (private offers, CPPO/MCPO, third-party integrations), owning private offer workflows with Deal Desk, driving hyperscaler funding initiatives (SCA, MPOPP, MCCP), and serving as the escalation point, while also owning hyperscaler tech ecosystems (Salesforce, Tackle.io, PRMs) and identifying AI automation opportunities. Required qualifications include 6+ years in cloud marketplace operations with direct hyperscaler workflow ownership, hands-on experience with Tackle.io and Salesforce CRM, deep knowledge of AWS/GCP marketplace mechanics and funding programs, and a strong ability to design scalable processes and collaborate cross-functionally in a remote setting. Benefits and compensation include a US base salary range of $104,800–$176,400 plus incentive potential, flexible PTO, equity and stock purchase plans, growth funds, parental leave, remote-friendly policies, and a commitment to equal opportunity and recruitment privacy.

GitLab is an intelligent DevSecOps platform that increases developer productivity, operational efficiency, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with a culture that treats AI as a core productivity multiplier. The AI Transformation Owner will shape their function's AI strategy, identify where AI can fundamentally change operations, and manage the full lifecycle from understanding workflows to prioritizing, prototyping, and ensuring adoption, in partnership with an AI Engineer for no-code/low-code delivery. Core responsibilities include Strategy & Prioritisation (defining metrics, mapping end-to-end processes, prioritizing for business outcomes), Adoption & Change Management (driving adoption, creating channels and a Champion network), and Hands-On Building & Agent Operations (building agents, configuring skills and MCP servers, owning the fleet, and iterating with KPIs). The ideal candidate brings deep knowledge of their function's operations, strategic prioritization, a product-management mindset, strong communication and cross-functional instincts, experience building peer networks, and comfort with no-code/low-code AI platforms and data-flow mapping. The role is remote with a United States salary range of $152,800–$259,200, plus benefits and equity, and GitLab emphasizes equal opportunity and accommodation with location-based eligibility considerations.

GitLab is an intelligent DevSecOps orchestration platform trusted by more than 50 million users and over 50% of the Fortune 100, designed to boost developer productivity, operational efficiency, security, and digital transformation, with AI embedded as a core productivity multiplier. As a Senior Revenue Analytics Analyst, you’ll partner with global Sales Strategy, Solutions Architect, and Ecosystem teams to translate pre-sales questions into analytical requirements and build AI-enabled analytics that inform trial management, win rates, adoption, and overall sales metrics. You’ll design and maintain BI and AI solutions, define data requirements with operational and data teams, use segmentation and experimentation to forecast program impact, and serve as a subject-matter expert to guide partners and analysts. Requirements include experience in SaaS analytics focused on pre-sales, proficiency with complex SQL and Python, unifying data from multiple systems into a single view of pre-sales outcomes, and strong collaboration with Sales, RevOps, Finance, CS, and other teams, plus openness to generative AI. The Revenue Analytics team resides within GitLab’s Revenue Strategy & Operations, operates asynchronously across time zones, offers a US base salary range of $115,200–$194,400 with up to 100% incentive pay, and provides benefits such as flexible PTO, equity, parental leave, ERGs, and growth opportunities, with GitLab committed to equal opportunity and accommodation.

GitLab is an intelligent orchestration platform for DevSecOps that uses AI as a core productivity multiplier and is trusted by millions of users and many Fortune 100 companies, reflecting a high‑performance, value-driven culture. The Revenue Analytics Manager is an individual contributor role responsible for turning complex sales and go-to-market data into clear insights and AI-enabled tools, using Claude, dbt, Snowflake, SQL, and Python, with end-to-end project ownership. You’ll lead end-to-end first-order and new-business analytics, assess legacy dashboards for maintenance or migration to AI-based solutions, analyze pipeline and quota metrics, and partner with Sales, RevOps, Finance, and Customer Success to deliver scalable analytics and tools. Requirements include proven sales analytics experience, proficiency with BI tools like Tableau, strong SQL/Python data querying skills, familiarity with dbt/Snowflake, and the ability to manage stakeholders in a remote, asynchronous environment. The role sits in the Revenue Analytics team within Revenue Strategy & Operations; the US base salary range is $126,400–$213,600 with up to 100% incentive pay, and the company supports remote/global eligibility, comprehensive benefits, and a strong commitment to equal opportunity and accommodations.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and secure, rapid software delivery, trusted by over 50 million users and many Fortune 100 companies. As a Backend Engineer on the Agent Observability team, you'll help define how AI agents interact with the full software delivery lifecycle, contribute to complex features, and establish architectural patterns across GitLab while collaborating with engineers in the Agent Foundations group and related teams. You will develop, ship, and maintain features for Agent Observability and Interactions across the monolith backend and the AI gateway, design REST and GraphQL APIs, improve automated testing, and participate in Tier 2 on-call rotations to enhance observability and resiliency. Requirements include production Ruby on Rails experience (including background jobs, APIs, and data models), familiarity with Python backends and/or Vue frontends is a plus, API design for scalability, experience with AI tooling and AI-powered backend features, SQL/PostgreSQL skills, and strong async, cross-functional communication. The posting notes the small, globally distributed Agent Execution group structure, remote global hiring with location considerations, a broad benefits package, and GitLab's commitment to equal opportunity and non-discrimination, inviting applicants even if they don't meet every qualification.

GitLab presents itself as the intelligent orchestration platform for DevSecOps, used by more than 50 million registered users and trusted by over half of the Fortune 100 to ship better, more secure software faster, with AI acting as a core productivity multiplier in how the company works. The Senior Product Manager, Plan to Code role aims to shape how planning and code move toward an AI-native software development lifecycle, focusing on integrating planning and source code with AI-assisted development and human-in-the-loop workflows. Responsibilities include defining product strategy that connects planning, SCM, and AI-driven development; shaping spec-driven workflows; collaborating across Plan, SCM, Code Review, and AI teams; and enabling near-term prototypes and faster value delivery while maintaining quality. Requirements include experience as a product manager in developer tools or AI-native products, a deep understanding of the software development lifecycle, a data-driven approach, comfort operating in ambiguous spaces, and experience with AI tools in a distributed, remote environment. The company emphasizes remote, globally distributed work with extensive benefits, equity, parental leave, and a strong commitment to equal opportunity, inclusion, and accommodations.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that increases developer productivity, operational efficiency, and security while accelerating digital transformation, with over 50 million users and many Fortune 100 companies trusting GitLab. The Analytics Instrumentation role sits in the Data Engineering and Monetization group and focuses on building a unified data collection platform for Product Usage and Billing data, enabling evidence-based product decisions with privacy-conscious instrumentation. As a Senior Backend Engineer, you’ll design and maintain a unified data infrastructure using Go, Kubernetes, ClickHouse, and NATS to support GitLab’s SaaS and self-managed deployments, improving data emission, transit, quality, and billing accuracy, while guiding usage and instrumentation systems across teams. You’ll collaborate across product teams, data consumers, and enterprise data groups, mentor engineers, balance ease of use with reliability, and help drive adoption of common solutions, working on projects from event data collection to AI-powered analytics frameworks. The role’s US base salary range is $117,600–$252,000 (excluding bonuses, equity, or benefits), with remote work and a comprehensive set of benefits, equity, and parental leave, and GitLab emphasizes equal opportunity and accommodations in its hiring practices.