Вакансии gitlab: работа в IT и digital

An overview of this role

GitLab's Security Risk function is responsible for reducing risk across the security division: third-party risk (TPRM), annual security risk assessments, quarterly risk reporting, and remediation of security findings. As a Senior Security Risk Engineer, you'll take ownership of risk identification, quantification, and remediation tracking across the business, and you'll be a driving force behind automating and modernizing how the team does this work using AI and scripting. Reporting to the Security Risk Manager, you will bring expertise on risk methodology, risk-based thinking, and AI-enablement. 

In this role, you'll partner closely with Security, Legal, IT, Product, and Engineering to translate technical findings and vendor risk into business-relevant risk statements and risk treatments. You’ll help surface emerging risks, and report top risks to leadership. 

Some examples of our projects:

• Building and maintaining a risk register that translates technical vulnerabilities, control gaps, and third-party risk findings into quantified, business-relevant risk statements.
• Driving cross-functional remediation of security findings and risk issues to closure, tracked against SLAs.
• Driving automation and AI-enabled improvements for risk and GRC workflows so the team can spend less time on manual work and more time on high-value risk analysis and program maturity.

What you'll do

• Own risk identification, analysis, and prioritization across third-party risk (TPRM), security risk assessments, and security findings, using an established risk framework (e.g., NIST RMF, ISO 31000, or NIST 800-39). 
• Translate technical vulnerabilities, control gaps, and risk findings into clear, quantified risk statements that non-security stakeholders and leadership can act on. 
• Drive remediation of findings and risk exceptions to closure, partnering with Engineering, IT, Product, and Legal, and escalating stalled or high-severity items. 
• Mature and maintain a risk register and quarterly reporting cadence that gives leadership clear visibility into open risk, remediation progress, and trends.
• Own and mature AI risk management, including AI impact assessments, AI risk assessments, and risk treatments, to support ISO 42001 certification.
• Design, develop, and implement key risk indicators and supporting metrics for top risks in the risk register.
• Identify manual, repetitive steps in risk and TPRM workflows and personally build the automation, scripting, or AI-enabled tooling to remove them. 
• Contribute to the roadmap for the risk program, incorporating new frameworks, regulatory changes, and lessons learned from past assessments.
• Monitor the internal and external risk landscape (new frameworks, threat trends, business changes) to identify and escalate emerging risks before they become findings.

What you'll bring

• 5+ years of experience in security risk management, working with security-centric risk management or compliance frameworks (e.g., NIST RMF, NIST 800-39, ISO 31000). Familiarity with AI governance frameworks (e.g., ISO 42001, NIST AI RMF) is a plus.
• Experience designing and executing qualitative and quantitative risk analyses that translate technical risks into measurable business impact. 
• A track record of driving risk assessments, risk registers, and remediation efforts to closure across IT, Procurement, Internal Audit, Legal, Product, and Engineering, in a heavily regulated or multi-entity environment.
• Experience interpreting technical control requirements and translating them for both technical and non-technical stakeholders.
• Demonstrated bias toward automation: you've personally built scripts, workflows, or AI-enabled tooling that reduced manual risk or GRC work, not just evaluated tools conceptually. 
• Comfort operating with ambiguity, managing multiple concurrent assessments, and reprioritizing under tight deadlines. 
• Exceptional written and verbal communication skills with demonstrated ability to translate security risks into business risks.
• Strong understanding of cloud security, SaaS security models, and DevSecOps practices.
• Relevant certifications (e.g., CISSP, CISM, CISA, CRISC) are preferred but not required. 

About the team

The Security Assurance organization helps GitLab build and maintain trust by strengthening how we approach security, compliance, and risk across the company. The Security Risk team sits within that group and owns third-party risk (TPRM), security risk assessments, and remediation of security findings. The Security Risk Team performs thorough, collaborative, and efficient risk assessments as well as drive risk reduction so that GitLab can achieve its goals while maintaining a high level of security. Security Risk counterparts are Security Compliance, Security Governance and Security Enablement functions.

An overview of this role

As a Demo Architect, you'll help GitLab teams and customers get hands-on with our platform faster and with less friction. This role reports to the Senior Director of our Solutions Architecture Center of Excellence, with day-to-day partnership from the current team lead. You'll build and improve the tools, applications, and infrastructure that support field team demos, workshops, trials, and internal test environments across the field. 

What makes this role unique is its mix of software engineering, infrastructure, and customer-facing collaboration. You'll work like an engineer for much of the role, while also partnering with Solutions Architects, Account Executives, Customer Success, and others to make sure what we build is practical, usable, and aligned to how the field sells.

What you'll do

• Build and maintain tools, applications, and workflows that support demos, workshops, trials, and internal test environments.
• Expand the Demo Architect Portal to improve automation, self-service, and scalability for field teams and partners.
• Provision and support infrastructure that enables hands-on customer experiences across GitLab.com, demo instances, and internal environments.
• Collaborate with Solutions Architects, Account Executives, Customer Success, Marketing, Revenue Operations, UX, and Engineering to understand needs and deliver practical technical solutions.
• Learn and document go-to-market workflows (e.g., how teams run demos/workshops/trials) and automate the steps that waste time.
• Create technical workshop assets and enablement content that support pre-sales and technical selling for individual contributors.
• Advise on sales opportunities when specialized technical demo support or custom solutions are needed.
• Improve the presenter experience by reducing manual setup work and making demo workflows easier to use and repeat.
• Support internal teams that rely on demo or test infrastructure, helping keep those environments available and useful.
• Troubleshoot urgent demo/workshop environment issues under pressure and communicate status clearly to stakeholders.

What you'll bring

• Experience building software, systems, or internal tools that support technical users or business teams.
• Ability to deliver production-grade software and automation with attention to reliability, maintainability, and documentation.
• Ability to work across application development and infrastructure, with comfort navigating provisioning, automation, and service workflows.
• Familiarity with monitoring/observability tools to shorten investigation time when something breaks.
• Comfort communicating and collaborating with technical and non-technical stakeholders across Sales, Solutions Architecture, Customer Success, Marketing, UX, and Engineering.
• Understanding of how to design and iterate on solutions for usability and repeatability, not just technical correctness, with awareness that the end user may be a seller or Solutions Architect.
• Ability to operate independently in a remote, asynchronous environment, with willingness to travel periodically for team offsites and occasional in-person planning/whiteboarding sessions.
• Exposure to technical demos, workshops, trials, or enablement assets, and/or interest in learning the pre-sales context; transferable experience from software engineering, site reliability engineering, systems engineering, solutions architecture, or similar technical paths.

About the team

On the Demo Architect team at GitLab, we support the field’s demo, workshop, and trial experiences by maintaining shared tooling and the infrastructure behind internal demo and test instances used across GitLab. We’re a small, globally distributed group that collaborates asynchronously across regions and adapts quickly to changing needs, with a current focus on scaling automation, enabling more self-service, extending support to partners, and maintaining reliable internal infrastructure.

An overview of this role

As a Technical Recruiter, you'll help GitLab build the engineering and product teams behind our DevSecOps platform. In this individual contributor role, you'll partner with leaders across Engineering, Product, Security, and UX and own searches from intake through close. You'll build inclusive pipelines and use data and market insight to guide hiring decisions, while growing into a trusted talent advisor.

What you'll do

• Manage full-cycle searches for roles such as Backend and Frontend Engineers, Site Reliability Engineers, Security Engineers, Data Engineers, Engineering Managers, and Product Managers, delivering against agreed recruiting goals and key metrics with accurate, timely documentation in Greenhouse.
• Lead intake and kickoff conversations to align hiring teams on role scope, technical requirements, team context, interview plans, and timelines, with senior team guidance as needed.
• Partner with hiring teams on structured, equitable technical interviews with clear competencies and actionable feedback; challenge assumptions and escalate risks or blockers early.
• Use talent-market research, compensation benchmarks, funnel metrics, and candidate feedback to shape search strategy and address hiring issues.
• Assess technical candidates on depth of experience, scope and impact of past work, problem-solving, and open source or community contributions, and how well their skills fit GitLab's teams and technology.
• Build research-based, diversity-focused sourcing plans that balance applicants, passive talent, referrals, internal talent, and targeted outreach across technical communities and specialized talent pools.
• Deliver a thoughtful candidate experience through disciplined pipeline management, proactive communication, timely feedback, and offer negotiations that clearly explain compensation, equity, and benefits.
• Improve recruiting practices by sharing learnings and reusable resources, using artificial intelligence (AI) responsibly, and representing GitLab's mission, values, and culture.

What you'll bring

• Intermediate-level recruiting experience, with a track record of owning full-cycle searches independently.
• Technical recruiting experience, or a strong interest in learning engineering and product disciplines, tech stacks, team structures, and how software is built and shipped.
• Developing advisor skills: building stakeholder trust, influencing without authority, and managing hiring team expectations.
• Experience building proactive, diversity-focused sourcing strategies and balanced pipelines for hard-to-fill or specialized roles.
• A data-informed approach that turns funnel insights into practical actions.
• Strong organization across multiple requisitions and clear written and verbal communication across time zones, with attention to detail and candidate care.
• Experience with an applicant tracking system and recruiting tools such as Greenhouse, LinkedIn Recruiter, LinkedIn Insights, SeekOut, or comparable platforms; ability to evaluate AI-generated work, protect confidential information, and share responsible workflows with team members.
• Experience recruiting for DevSecOps, developer tools, or open source software is helpful, not required.

About the team

We work in a globally distributed, remote-first Talent Acquisition team where clear communication and reliable follow-through matter. Our team members share learnings and create reusable resources to improve the quality and consistency of hiring across Research & Development.

An overview of this role

As a Professional Services Program Manager at GitLab, you will lead the delivery of complex, multi-workstream services engagements for some of our largest and most strategic customers. You will help customers turn transformation goals into clear execution plans by bringing structure, visibility, and accountability across interconnected projects. Working closely with customer stakeholders and GitLab team members, you will guide programs from planning through delivery while building trusted relationships across executive, technical, and delivery teams. In this role, you will define and apply a strong delivery methodology grounded in agile and project management best practices, communicate that approach clearly, and keep teams aligned on milestones, dependencies, and outcomes. This is a strong opportunity to shape how customers adopt GitLab at scale and help them realize meaningful business value through effective program leadership.

What you'll do

• Lead delivery of multi-workstream professional services engagements for large and strategic customers
• Build strong relationships with customer stakeholders, including executive leaders, program and project managers, engineering, development, and security teams
• Develop and apply a delivery methodology that uses agile and project management best practices, and communicate how the methodology will be used throughout the program
• Create and continuously communicate program roadmaps, dependencies, milestones, and deliverables across connected projects
• Manage stakeholder expectations and secure approval on major milestones, decisions, and delivery plans
• Define program strategy, including business justification, expected benefits, in-scope and out-of-scope work, timelines, schedules, resources, stakeholders, and success criteria
• Establish core program structures such as RACI charts, work breakdown structures, communication plans, and escalation paths
• Work closely with Engagement Managers and Regional Delivery Managers to support program scoping, review delivery assumptions, and help improve project management processes through quarterly objectives and key results (OKRs)

What you'll bring

• Experience leading complex programs with multiple interdependent projects, stakeholders, and timelines
• Strong skill in program planning, forecasting, reporting, and communicating delivery metrics clearly to internal and external stakeholders
• Ability to organize, monitor, and manage long-term project budgets, schedules, risks, and dependencies
• Proven ability to build collaborative relationships with customers and partner effectively with Engagement Managers, Architects, and delivery teams
• Working knowledge of agile and other project management approaches, with the judgment to apply the right structure to different customer needs
• Ability to develop long-term plans that support customer adoption, transformation, and successful delivery outcomes
• Comfort leading program-level meetings and driving progress across multiple workstreams
• Willingness to complete GitLab Project Management certification within 2 months of starting in the role

About the team

On our Professional Services team, we help customers adopt GitLab effectively by turning strategy into structured delivery. As Program Managers on our team, we bring clarity to large, complex engagements by coordinating people, plans, and processes across multiple workstreams. We work closely with customers, Engagement Managers, Architects, and delivery leaders to create practical plans, manage risk, and keep programs moving toward agreed outcomes. Because we operate in an all-remote, asynchronous environment, we value clear communication, strong documentation, and ownership. This role is well suited for you if you enjoy building order in complex environments, guiding stakeholders through change, and helping customers make progress on meaningful transformation efforts.

An overview of this role

Growth Marketing is the activation and delivery arm of GitLab marketing: campaigns, regional and field marketing, lifecycle and product led growth, marketing engineering and operations, corporate events including Transcend, partner marketing, community programs and Co-Create. If a program connects GitLab to a customer or a buyer, it lives here, and the team is accountable for pipeline, first orders, Flex conversion and expansion, and post sale adoption.

As Principal Growth Marketing Strategist you work directly with the VP of Growth Marketing as a strategic partner and operator. You hold the whole picture of the engine: the goals every function has committed to, the budget and where it is moving, the strategic projects that do not fit cleanly inside any one function, and the decisions that are waiting on an answer. You keep that picture current, you act on it when the VP is engaged elsewhere, and you use it to move work faster.

This is an individual contributor role at the Principal level. You do not manage a team. You manage outcomes across ten functions through influence, judgment and follow through, and you are trusted to speak for Growth Marketing in rooms the VP cannot be in. The people on the leadership team are senior, experienced marketers; they will work with you because you make them faster and sharper, not because of the title.

You will be effective in this role if you have led marketing yourself at a senior level, understand how a modern B2B software company makes money, are curious and hands on with AI in your own work, and can move between a budget trade off, a partner negotiation, a pipeline review and a keynote plan in the same day without losing the thread.

What you'll do

• Run Growth Marketing's operating rhythm: goals, business reviews, planning cycles and the metrics inspection behind them, so decisions get made, recorded and followed through.
• Track commitments across the leadership team between their 1:1s with the VP, so those conversations are about strategy rather than status.
• Own the strategic projects that matter to Growth Marketing and have no single functional home: scope them, find the owner or be the owner, and land them.
• Hold the budget picture across the team, prepare trade offs with a recommendation, and act within the authority the VP has delegated in writing.
• Represent Growth Marketing on the VP's behalf in pipeline reviews, cross functional planning and partner conversations; carry the position in and the decision out.
• Unblock functional leaders when the VP is engaged elsewhere, or stage the issue so it takes one conversation rather than three.
• Be a thinking partner to any functional leader who wants one, offered rather than assigned.
• Partner with marketing's AI Transformation Owner so AI adoption across Growth Marketing is visible, measured and moving.
• Prepare the VP for high stakes moments: executive updates, leadership material, keynotes, customer and partner meetings, with the numbers checked and the first draft written.

What you'll bring

• Extensive experience in B2B software marketing with senior leadership experience: you have owned a marketing function, a large program budget or a go to market motion, and you have been accountable for a pipeline or revenue number.
• Breadth across marketing. You have worked in or closely with demand and digital, field and events, lifecycle or product led growth, partner marketing and marketing operations, and you can hold a credible conversation with an expert in each.
• A track record of landing cross functional projects that nobody owned, through influence rather than authority, with executives, peers and individual contributors.
• Business fluency: you read a P&L, a pipeline report and a budget model comfortably, you understand consumption and subscription business models, and you can explain a trade off to a CFO in plain language.
• Program and operating rhythm experience: goal frameworks, business reviews, planning cycles, and the discipline to keep them honest without turning them into bureaucracy.
• Hands on AI fluency. You use AI tools daily in your own work, you have built or configured something with them, and you are curious about how they change the way a marketing organization operates. Prior experience in a chief of staff, strategy and operations, or business operations role is welcome but not required.
• Executive communication: concise writing, clear verbal briefs, comfort presenting to and being questioned by VPs and C level leaders, and the judgment to know what travels up and what does not.
• Discretion. You will handle confidential people, budget and strategy information every day.
• Familiarity with developer, DevOps or platform engineering audiences, or the ability to get there fast.
• The ability to use GitLab, and to travel occasionally for events and leadership offsites.

About the team

Growth Marketing at GitLab is one integrated engine of roughly 100 people across ten functions, led by the VP of Growth Marketing and reporting into the Chief Product and Marketing Officer. The team runs Transcend, GitLab's flagship event program, the GitHub competitive motion, the regional and partner marketing engines in AMER, EMEA and APJ, the lifecycle and product led growth motions behind GitLab's self serve business, and marketing's AI transformation. The leadership team operates on a small set of shared principles: speed with quality, an ownership mindset, and customer outcomes. You can read more about how marketing operates at GitLab in the handbook.

An overview of this role

As a GTM Recruiter you'll help GitLab build the go-to-market teams that drive our growth. In this individual contributor role, you'll partner with leaders across Sales, Marketing, Customer Success, Professional Services, Field Operations, Enablement and Ecosystems and own searches from intake through close. You'll build inclusive pipelines and use data and market insight to guide hiring decisions, while growing into a trusted talent advisor.

What you'll do

• Manage full-cycle searches for Account Executives, Solutions Architects, Customer Success, Sales Development, and Sales Operations, delivering against agreed recruiting goals and key metrics with accurate, timely documentation in Greenhouse.
• Lead intake and kickoff conversations to align hiring teams on role scope, territory or segment, quota and ramp expectations, interview plans, and timelines, with senior team guidance as needed.
• Partner with hiring teams on structured, equitable interviews with clear competencies and actionable feedback; challenge assumptions and escalate risks or blockers early.
• Use talent-market research, compensation and on-target earnings (OTE) benchmarks, funnel metrics, and candidate feedback to shape search strategy and address hiring issues.
• Assess sales candidates on track record, quota attainment, deal complexity, and experience relevant to GitLab's sales segments and approach.
• Build research-based, diversity-focused sourcing plans that balance applicants, passive talent, referrals, internal talent, and targeted outreach.
• Deliver a thoughtful candidate experience through disciplined pipeline management, proactive communication, timely feedback, and offer negotiations that clearly explain compensation and OTE.
• Improve recruiting practices by sharing learnings and reusable resources, using artificial intelligence (AI) responsibly, and representing GitLab's mission, values, and culture.

What you'll bring

• Intermediate-level recruiting experience, with a track record of owning full-cycle searches independently.
• Sales or go-to-market recruiting experience, or a strong interest in learning sales segments, quotas, OTE, ramp time, territory design, and sales cycles.
• Developing advisor skills: building stakeholder trust, influencing without authority, and managing hiring team expectations.
• Experience building proactive, diversity-focused sourcing strategies and balanced pipelines.
• A data-informed approach that turns funnel insights into practical actions.
• Strong organization across multiple requisitions and clear written and verbal communication across time zones, with attention to detail and candidate care.
• Experience with an applicant tracking system and recruiting tools such as Greenhouse, Metaview, LinkedIn Recruiter, LinkedIn Insights, SeekOut, or comparable platforms; ability to evaluate AI-generated work, protect confidential information, and share responsible workflows with team members.
• Technology or business-to-business (B2B) software recruiting experience is helpful, not required.

About the team

We work in a globally distributed, remote-first Talent Acquisition team where clear communication and reliable follow-through matter. Guided by GitLab’s operating principles, including Speed with Quality, Ownership Mindset, and Customer Outcomes, we take ownership, move with urgency and rigor, and focus on hiring outcomes that matter to our internal customers. We share learnings and create reusable resources to continually improve the quality and consistency of hiring across GTM teams.

An overview of this role

Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams.

This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it.

What you'll bring

• Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams.
• High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands.
• Force multiplier and raise the people and the codebase around them
• Deep full-stack expertise, including strong proficiency in Go, Ruby and Node. 
• Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration.
• Hands-on experience building production AI-powered tool orchestration.
• Experience operating multi-tenant systems across SaaS and self-managed deployment.
• Direct communicator who builds alignment across teams.
• Bias to write things down and make reasoning legible.

What you'll own

• Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem.
• Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph.
• Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies.
• Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs.
• Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed.
• Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team.
• Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward.
• Mentor senior and intermediate engineers through design reviews, pairing, and code review.
• Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity.

About the team

Data Products work across three surfaces:

Dashboard and Reporting Framework

• Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework.

Internal Ingestion

• Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem.

External Ingestion 

• External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products.

We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands.

An overview of this role

As Director of Engineering, Database Excellence, you will lead the Database Excellence stage and report to the Vice President of Data Engineering, in our Engineering department. You will set the direction for the databases that support GitLab.com, self-managed GitLab, and GitLab Dedicated. Your organization owns the reliability, capacity, health, and sustainability of GitLab's application datastores, with PostgreSQL as the primary focus alongside Redis, OpenSearch, ClickHouse, and object storage.

You will be accountable for database capacity and availability on GitLab.com. You will guide long-range platform decisions while partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps. The work includes reducing infrastructure costs, improving data growth controls and saturation detection, standardizing database services, rebuilding the self-managed upgrade experience, and contributing to GitLab's company-wide datastore strategy, including Cells partitioning. Learn more in the Database Excellence handbook.

What you’ll do

• Set direction and long-range plans for the database platform in line with company strategy.
• Own database capacity and availability outcomes for GitLab.com, and communicate database risk to senior leadership.
• Lead and coach three Engineering Managers and develop Staff-plus engineers into leaders.
• Drive cross-division technical decisions using data, partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps.
• Partner with Product to prioritize database platform investments and make infrastructure tradeoffs in the context of product outcomes.
• Own the hiring plan, organization design, retention, and performance management for teams across regions.
• Set quarterly objectives and key results and engineering key performance indicators for the stage, and manage the database infrastructure budget with FinOps.
• Serve as an escalation point for database incidents, standardize effective processes, and keep the handbook current.

What you’ll bring

• Experience leading managers of managers, including coaching newer managers.
• Experience working hands-on with PostgreSQL at scale, including capacity planning, upgrades, replication, performance, and large production clusters.
• Experience using data to make strategic technical decisions and connect database platform investments and tradeoffs with product outcomes.
• Experience supporting software that customers run themselves, or working through the self-managed upgrade challenge.
• Experience leading backend engineering teams that own production infrastructure, applying site reliability engineering practices including service level objectives, on-call operations, incident management, cost management, and automation.
• Experience communicating clearly in writing in an asynchronous, handbook-first company.
• Experience leading globally distributed remote teams.
• Experience with Redis, ClickHouse, OpenSearch, object storage, Google Cloud Platform, Kubernetes, Terraform, Chef, managed database services, FinOps, AI-assisted engineering workflows, or platform and infrastructure organizations is a plus.

About the team

Database Excellence includes Database Architecture, Database Automation, and Self Managed Database. Three Engineering Managers lead these teams, alongside an Operations Manager. Our teams work across the United States, Europe, the Middle East, Africa, and India. Database Architecture provides datastore guidance, data growth controls, and the database review process. Database Automation builds PostgreSQL fleet automation, upgrades, provisioning, health monitoring, and an internal managed PostgreSQL offering. Self Managed Database is rebuilding the upgrade and migration experience for self-managed GitLab. Together, we make database services more reliable, sustainable, and easier to operate across GitLab's deployment models.

An overview of this role

You will join the Trust and Safety team, within the security division at GitLab. Your role will be coordinating and owning cross functional fraud and abuse prevention workstreams for trust and safety. This role will focus on coordinating with T&S engineers to understand fraud and abuse trends and work cross functionally with Engineering, Product and other peer teams to improve defenses. A successful person in this role is able to understand technical requirements and problems and convert them into business requirements and coordinate with engineering and product teams to implement improved defenses. 

What you’ll do  

• Be the connection between T&S, Engineering, Product, Legal, Finance and other teams to build, track, and drive cross functional fraud and abuse mitigation through to completion. 
• Turn abuse and fraud trends into proposed defense measures and work with stakeholders to gain buy-in, and drive projects to completion through cross functional leadership. 
• Have an ownership mindset and bias for action to keep GitLab secure.
• Turn abuse trends into prioritized, cost-quantified requirements and business cases that product teams can act on. 
• Leverage AI to build early identification and triage of fraud and abuse risks across GitLab. 
• Partner with Finance and Billing on fraud prevention controls, including payment fraud, chargebacks, and account verification.
• Define metrics for abuse and fraud exposure, and report program status, costs, and outcomes to security and business leadership.
• Identify, triage and prioritize Safety & Trust abuse campaigns and operational work and ensure high-impact incidents are escalated

What you’ll bring 

• 5+ years in technical program management, security program management, or trust & safety, fraud, or risk operations, including hands-on experience with fraud or abuse at a SaaS, platform, marketplace, or payments company.
• A track record of driving cross-functional fixes to completion without direct authority over the teams doing the work.
• Working knowledge of common fraud and abuse patterns, such as account takeover, free-tier and trial abuse, payment fraud and card testing, bot signups, and spam and phishing.
• Technical fluency with web applications, APIs, identity and authentication, and billing or subscription systems, enough to discuss implementation tradeoffs with engineers.
• Clear, concise written communication suited to an all-remote, asynchronous environment.
• Sound judgment balancing fraud and abuse risk against friction for legitimate users and customers.

About the team

Trust and Safety is the team tasked with preventing, preventing and responding to abuse across GitLab SaaS platforms. T&S builds and maintains systems designed to detect and prevent fraud and abuse with the goal of keeping the cost of abuse low across GitLab SaaS platforms. T&S works closely with peer teams within Security Operations as well as teams across engineering and product to identify, build defenses, remediate and respond to abuse. 

An Overview of this Role

As Director, Data Science, you'll lead GitLab's Product, Sales, and Finance Data Science teams and report to the VP of Data & Insights. You have two mandates:

1. Make Data Science a driver of growth. Connect the team's work to GitLab's biggest priorities: supporting product innovation, making sure what we launch is improved and scaled with data, improving product adoption through our GTM motions, and growing the consumption business. Make sure the work changes decisions at the executive level.
2. Set the bar for great data science. Define what makes a great Data Scientist at GitLab, from business partnership to technical rigor, and develop managers who build teams where everyone shows up to that standard.

You lead through your managers with an overall team size of 12 including data scientists and analysts, ensuring direction with the team across the data organization, and staying close enough to the work to pressure-test the analyses and models that matter most.

What you’ll do

• Build trusted relationships with executives across Product, Finance, and GTM, and act as their thought partner, shaping the questions the business should be asking, not just answering them
• Own investment and prioritization across teams: decide where Data Science spends its time, and make trade-offs visible to senior leaders
• Lead high-impact, cross-functional programs, such as driving new product adoption and growing our consumption business, from strategy through measurable business impact
• Coach and mentor managers and senior ICs to grow as leaders, building succession and a bench of future leaders
• Hold a high talent bar, and make sure every teammate grows into a trusted thought partner in their area
• Set org-wide standards for metric definition, causal inference, and predictive modeling, and the role of AI in each
• Build a high-trust culture of urgency, accountability, and open communication, and act on engagement and feedback across teams
• Partner with Analytics Engineering, Data Engineering, and other data teams across the company to solve data opportunities together, aligned on a shared data and AI roadmap

What you’ll bring

• 12+ years in data science, product analytics, or a related field, including 6+ years leading teams and 3+ years managing managers in B2B SaaS or tech
• Track record of building and scaling a data science or analytics organization that executives treat as a strategic partner
• Strong business acumen across product and go-to-market, with experience connecting data work to revenue and growth outcomes
• Executive presence: communicates complex findings and trade-offs clearly to the C-suite, and coaches managers to do the same
• Deep expertise in statistics, experimentation, and causal inference, with enough technical depth in SQL, Python, and ML to guide and pressure-test the team's work
• Clear point of view on how AI is reshaping data science and analytics, and experience leading teams through that shift
• Able to use GitLab, thrive in an all-remote, asynchronous company, model and coach GitLab's remote working competencies, and work in line with GitLab's values

Nice to Have

• Experience with developer tools, DevSecOps, or product-led growth products
• Experience with usage-based or consumption pricing models
• Experience merging or restructuring data science and analytics teams
• Thought leadership in data science or analytics, internally and externally
• Advanced degree in a quantitative field

About the Team

Data Science at GitLab brings Data Science and Analytics together into one function. Our Data Scientists are business partners first, pairing strong business judgment with analytical rigor and statistical expertise. We help leaders decide where to invest, measure what worked, and understand how customers get value from GitLab.

The opportunity is growing fast. AI is driving growth in GitLab's consumption business, creating new ways for data to drive growth. As routine reporting becomes self-serve, the team focuses on the hard problems: experimentation, causal inference, production models, and recommendations leaders act on.

An overview of the role 

GitLab is seeking an experienced Principal Field Security Engineer to tackle complex customer security challenges at the intersection of technical architecture and business requirements. In this role, you'll apply deep security expertise to answer technical questions, assess contract requirements, and enable GitLab’s Sales and field organizations to address security problems for enterprise customers. You'll work directly with customers and internal teams to provide technical guidance, create security content, and help customers understand how GitLab's security controls meet their compliance and risk management needs.

What you'll do:

Customer Engagement & Assurance

• Serve as the primary security point of contact for enterprise customer questions, requests, and concerns
• Join customer and prospect meetings to provide expert guidance on GitLab’s security practices and controls in order to address security, privacy, and compliance requirements
• Build and maintain templates, playbooks, fallback positions, and training that simplify and accelerate negotiations
• Facilitate customer assurance activities through our Customer Assurance Activities Service Desk
• Provide escalation support for complex security questionnaires, RFPs, and risk assessments

Contract & Legal Review

• Perform comprehensive contract reviews for both customer agreements and vendor relationships
• Analyze security and compliance clauses in legal documents
• Provide risk-based recommendations and remediation guidance for contractual security requirements
• Partner with Legal, Sales, Product, and Procurement teams to negotiate security-related contract terms. Manage escalations, collaborate across other teams, and develop solutions to enable team and business partners to close deals
• Document and track contract-related security obligations

Security Evangelism & Thought Leadership

• Act as a trusted technical thought leader, developing internal and external security content such as blog posts, whitepapers, technical standards, and field sales enablement training materials
• Keep abreast of the rapidly evolving regulatory landscape affecting our agreements. Identify, track, and facilitate solutions for security related customer trends and improvement areas
• Build and strengthen GitLab's security brand within the industry

Strategic Initiatives

• Maintain and enhance GitLab's Trust Center and self-service security resources
• Provide strategic recommendations based on customer security concerns in support of revenue growth
• Participate in Quarterly Business Reviews to inform product and security roadmap decisions
• Mentor and provide guidance to Security Assurance team members
• Drive continuous improvement of Field Security processes and documentation
• Design and implement solutions to enable Sales facing teams to successfully discuss security problems and topics with customers

What you'll bring:

• 10+ years of experience in information security, with at least 5 years in customer-facing security roles
• Deep expertise in security frameworks and standards such as (SOC 2, ISO 27001/27017/27018/42001, FedRAMP, NIST CSF, etc.)
• Expertise in law and regulation such as (GDPR, CCPA, DORA, EU AI Act)
• Proven track record of contract negotiation and security/privacy agreement reviews
• Exceptional written and verbal communication skills with ability to translate complex technical concepts for diverse audiences
• Experience creating security content (blogs, whitepapers, presentations)
• Strong understanding of cloud security, SaaS security models, and DevSecOps practices
• Experience working cross-functionally with Sales, Legal, Product, and Engineering teams
• Ability to balance security risk with business objectives
• Experience speaking at conferences is a plus
• Preferred: One or more relevant certifications such as CISSP, CISA, CISM, CCSP, ISO 27001 Lead Implementer/Auditor, or CIPP/CIPM. Equivalent demonstrated experience is equally valued.

About the team

The Security Assurance organization helps GitLab build and maintain trust by strengthening how we approach security, compliance, and risk. Security Governance sits within it and owns customer trust, security awareness, policies and standards, and other governance functions. Our counterparts are Security Compliance, Security Risk, and GRC Engineering.

You will join a small team of four direct reports under the Director, where each person has broad scope and visible impact. We work remote-first and asynchronously, and we write things down and share them openly, so you'll draft and revise policies and standards in the open with input from Security, Legal, Product, and Engineering.

About the Role

We are looking for a Distinguished Engineer to lead technical direction across GitLab's Core DevOps services, the systems the majority of our users touch every day. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company.

Core DevOps builds continuous Integration, continuous deployment, planning, and source control experiences. These are among the most mature, highest traffic, and most deeply interconnected systems at GitLab. They carry years of accumulated architectural decisions, they sit in the critical path of our customers' own delivery pipelines, and they are being reshaped by the shift toward AI native development. The job is to raise their quality, converge them onto a coherent go-forward architecture, and retire accumulated risk, all without interrupting the millions of users and Fortune 100 organizations who depend on them.

GitLab is pursuing a set of company-wide engineering goals: large gains in developer productivity, measurably higher quality in what we ship, and engineering practices reshaped around AI and agentic workflows. Core DevOps is where much of that strategy has to land, because these are the services our own engineers and our customers depend on daily. In this role you will bring that strategy into Core DevOps in a form that works for long lived production systems, and carry what you learn here back out to the rest of engineering.

What You'll Do

• Set and continuously refine the go forward technical direction for CI, CD, Plan, and source code experiences, aligned against the horizontal architectural initiatives.
• Work directly with the VP of Engineering as her technical counterpart on planning, technical investment, and where the group's engineering effort should go.
• Translate GitLab's company-wide productivity, quality, and AI native engineering goals into concrete technical direction for Core DevOps, and turn into iterable roadmaps, partnering broadly across the org.
• Define what good means in measurable terms for these services, including availability, latency at p95 and p99, pipeline success rate, test reliability, data correctness, and defect escape rate, then hold designs and implementations to it.
• Maintain a clear and current picture of systemic technical risk across the group, including single points of failure, unowned critical paths, brittle coupling between CI/CD and Plan, scaling limits, and past decisions that now constrain the roadmap. Drive a prioritized plan to retire it.
• Lead the hardest design decisions hands on, writing code, prototypes, and proofs of concept where a design argument needs evidence behind it.
• Drive convergence on shared patterns, libraries, and paved paths, reducing how many different ways the same problem gets solved across the group.
• Design migration paths that let large, long lived systems change underneath users without breaking them, using incremental cutover, dual run, measurable rollback, and deprecation with clear timelines.
• Adopt the platform capabilities coming from GitLab's AI organization and the company's productivity initiatives into Core DevOps, feed this group's requirements back into them, and help prove what works on systems of this scale and maturity.
• Serve as the escalation point for complex or contested technical decisions across the group, including those where no single team owns the outcome.
• Review significant designs and merge requests in the group's critical paths, and use review to teach rather than only to gate.
• Ensure designs hold across GitLab.com, GitLab Dedicated, and Self-Managed deployments, and respect multi-tenant, compliance, and data governance boundaries in each.
• Partner with Infrastructure, Security, and SRE so Core DevOps services are observable and debuggable, and so failure modes degrade gracefully instead of cascading.
• Make architectural constraints and opportunities clear to Product in roadmap terms, so that technical investment and product ambition get planned together instead of traded off late.
• Write clear, opinionated design documents, architecture narratives, and decision records that let teams across the group make aligned decisions independently.
• Grow Principal and Staff Engineers across Core DevOps, raise the bar on design rigor and technical writing, and contribute to the technical hiring bar for senior individual contributors.
• Participate in the Incident Management on-call rotation to help meet availability goals for GitLab.com, and complete Interview Training to participate in hiring as a technical interviewer or panel member.

What You'll Bring

• 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role.
• Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale.
• Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions.
• Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience.
• Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems.
• Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority.
• Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills.

An overview of this role

We're looking for a strategic, data-driven owner for about.gitlab.com, the site where developers, platform teams and enterprise buyers first meet GitLab. You'll build a performance-based strategy for where the site goes next, align partners around it, and see it through: from the roadmap and experimentation program to the pages behind every major product launch and event.

You set direction and orchestrate the work; you don't need to build it yourself.

What You'll Do

• Build a performance-based strategy and quarterly roadmap for about.gitlab.com, tied to pipeline and self-serve trial goals, and align Marketing leadership and partners around it.
• Set the experimentation roadmap based on business goals and manage the optimization program, partnering with User Experience (UX) Design so design shapes what we test from the start.
• Own launch page production for major product launches and events, from calendar and brief to launch readiness and post-launch cleanup, with UX Design, Product Marketing, Content and Marketing Engineering.
• Set direction for information architecture and content governance, so a site with many contributors stays coherent, on brand and easy for search and artificial intelligence (AI) answer engines to understand.
• Represent content contributors on the content management system (CMS) roadmap, and bring AI into their workflows with clear guardrails for human review.
• Build a two-way partnership with localization content managers so learnings flow between the English and localized sites.
• Define the site's success metrics (conversion on key paths, site-sourced pipeline, test velocity and win rate, on-time launches) and report progress to Marketing leadership.

What You'll Bring

• Experience owning strategy for a high-traffic business-to-business software-as-a-service website, ideally one with many audiences and contributors.
• A track record of setting an experimentation roadmap and running a program that delivered measurable conversion or pipeline lift.
• Experience running website launches across design, content, product marketing and engineering teams.
• Skill at turning analytics, research and A/B test results into clear priorities.
• The ability to lead through influence: you build credibility with designers, engineers and marketers, and act as a partner, not a gatekeeper.
• Technical fluency with modern websites and content management systems, enough to make tradeoffs with engineers. You don't need to write production code.
• Curiosity about AI and experience using it to improve content or web workflows.
• Clear, concise asynchronous writing and the ability to thrive in GitLab's all-remote, handbook-first culture.

Bonus points: experience marketing to developers, running localized sites, or working with technical search engine optimization (SEO) and answer engine optimization (AEO).

About the team

You'll lead through a dedicated team of specialists in UX design, technical SEO, AEO, marketing analytics, content, paid and campaigns, and partner with Marketing Engineering to ship.

If this role excites you but you don't meet every requirement, we still encourage you to apply.

Senior Backend Engineer

As a Senior Backend Engineer on our Cloud Cost and Capacity capability, you'll build the internal software that helps us understand, attribute, and plan the cloud infrastructure that runs GitLab.com. You'll turn Google Cloud billing and usage data into pipelines, attribution models, and applications that help service owners understand what they consume and spend, plan reservations, and prevent capacity shortages.

You'll be the first engineer dedicated to this capability, setting the technical direction and building the foundations a growing team will extend. You'll treat cloud cost and capacity as one roadmap, choosing the architecture, data models, and tools that let service owners manage their usage and spending.

What you'll do

• Build data pipelines that turn Google Cloud billing exports and Cloud Monitoring telemetry into a clean, queryable picture of fleet usage and utilization in BigQuery.
• Attribute shared cost and usage across Google Kubernetes Engine clusters to the teams and services that drive them, using foundations such as OpenCost and Google Kubernetes Engine cost allocation.
• Develop capacity and demand tooling that profiles infrastructure needs by machine family and region to support reservation planning and prevent capacity shortages.
• Ship internal applications that let engineers and budget owners see and act on their cloud footprint, replacing manual snapshots and spreadsheets with software.
• Establish the data models, services, and engineering standards that future team members will extend, and help shape technical direction and hiring as we grow.
• Partner with Finance, product teams, service owners, and infrastructure engineers to turn their needs into technical designs.
• Use artificial intelligence in your daily engineering workflow to improve efficiency and outcomes, as we expect of all GitLab team members.

What you'll bring

• A track record of designing and shipping production backend services that you've owned end to end, beyond operating existing systems.
• Strong structured query language (SQL) skills with large datasets, experience building and maintaining data pipelines and models, and comfort working with cloud billing and usage data.
• Working knowledge of a major cloud platform, preferably Google Cloud, including compute services, Kubernetes, and pricing and billing models.
• Proficiency in a general-purpose programming language for tooling and pipelines. We value your ability to build and ship over mastery of a single language; Go and Python suit this work, and we use Ruby across our product code.
• The ability to break a new problem into milestones and drive it to production with light direction, communicating clearly in a remote, asynchronous environment.
• Helpful, not required: OpenCost, Kubecost, or Google Kubernetes Engine cost allocation; cloud financial management (FinOps) practices or certification; cost or capacity modeling, forecasting, or anomaly detection; Terraform; Looker, Looker Studio, or Grafana; founding engineering work; or artificial intelligence in engineering workflows.

About the team

We're part of the Cloud Cost Utilization team within Infrastructure Platforms, working with Fleet Management. We partner with Finance, product teams, service owners, and infrastructure engineers as our service-ownership model matures. You'll work with us asynchronously, using clear written communication to turn our partners' needs into technical designs.

Staff Frontend Engineer

An overview of this role

As a Staff Frontend Engineer on the Core DevOps team, you'll provide technical leadership across your team and adjacent teams. You'll solve complex frontend problems, deliver large features with minimal guidance, and improve the architecture and standards that help teams move faster without compromising quality.

You'll work with product, design, engineering managers, and engineers across product groups to shape product experiences and frontend architecture for a global platform. This includes how teams use agentic artificial intelligence in engineering workflows and user experiences.

At GitLab, we build an all-remote, artificial intelligence-powered DevSecOps platform. You'll help shape product experiences and frontend architecture that enable everyone to contribute to and co-create the software that powers our world.

What you’ll do

• Lead the technical design and delivery of large, complex frontend initiatives across multiple teams.
• Drive frontend platform, design system, and shared architecture strategy for long-term scalability.
• Define and improve standards for versioning, testing, documentation, accessibility, security, performance, and maintainability.
• Lead modernization of a monolith or legacy frontend architecture toward modular, reusable, and independently deployable systems.
• Establish versioned module or host contracts and build, test, deploy, release, and rollback practices for safe operations.
• Create shared patterns for dependency management, design system integration, observability, error isolation, and performance budgets.
• Guide technical direction through clear written proposals and architectural leadership. Partner with product and engineering leaders on platform roadmaps, technical debt, and investment trade-offs.
• Mentor senior and intermediate engineers. Establish guardrails for artificial-intelligence-assisted and agentic workflows that protect code quality, security, privacy, and evaluation standards.

What you’ll bring

• A sustained record of technical leadership across teams or a broad product area.
• Deep frontend architecture and production experience in complex web applications.
• Experience scaling or governing a design system, frontend platform, or shared component architecture.
• Experience with modular frontend architecture in production, such as package encapsulation, Web Components, frontend islands, runtime composition, or an equivalent architecture.
• Experience creating alignment without formal authority through clear written proposals and decision records.
• Experience balancing user outcomes, delivery speed, technical health, and long-term platform investment.
• Experience mentoring engineers and shaping standards through code review and documentation, including evaluating and improving artificial-intelligence-assisted or agentic engineering workflows.
• Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL application programming interfaces; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; and observability tools such as Prometheus or Sentry.

About the team

On the Core DevOps team, we own core repository capabilities, from Git command-line operations to web-based code exploration. We develop new features and platforms, improve existing capabilities, and improve maintainability, accessibility, performance, and workflows for teams using artificial-intelligence-assisted development tools.

An overview of this role

Credit-based and consumption-based offerings are becoming central to how GitLab monetizes. The systems that meter, rate, and bill that consumption sit underneath all of it. You'll own the backend usage billing pipeline and its product direction while supporting the Monetization Platform and Infrastructure team as it modernizes the foundations underneath it.

When another GitLab team launches a credit-consuming capability, you'll help them make it billable across GitLab.com, self-managed, and GitLab Dedicated. This is a technical, systems-oriented product role: success means building a monetization platform other teams can launch on quickly and correctly, rather than shipping customer-facing UI.

What you’ll do

• Own the product direction for metering, aggregation, and rating in GitLab's usage billing pipeline, including the Zuora and CustomersDot integrations that turn usage into invoiced revenue.
• Make onboarding a new credit-consuming capability a repeatable process rather than a bespoke project each time.
• Partner with product teams on what to instrument, how to meter and price usage across GitLab.com, self-managed, and GitLab Dedicated, and what it takes to be billable on launch day. Stay ahead of their roadmaps so billing doesn't delay launches.
• Prioritize pipeline scalability, performance, and reliability as consumption grows, balancing those investments against new capability enablement.
• Own billing defect detection and remediation so errors surface before they reach a customer's invoice and billing outcomes remain auditable.
• Support the Monetization Platform and Infrastructure team by framing problems, explaining the value of platform investments, and prioritizing them against operational risk.
• Define and track measures of billing accuracy, pipeline reliability, cost to serve per capability, and time to monetize so teams can make informed pricing decisions.

What you’ll bring

• Experience owning the product direction of consumption- or usage-based billing systems.
• Experience with Zuora or a comparable billing and revenue platform, and an understanding of how product and finance systems interact.
• Experience with prepaid, commitment, or credit-drawdown pricing models (balances, reservations, overage, expiration) and the edge cases they create in billing and revenue.
• Experience launching new products or pricing models while coordinating across engineering, Finance, Legal, Compliance and go-to-market teams.
• Ability to bring together teams you don't manage around work their launches depend on.
• Experience defining problems for platform or backend teams whose users are often other teams.
• Clear written communication in an all-remote, asynchronous environment; you'll use issues, epics, and direction pages to lead.
• Familiarity with developer tooling, financial audit or revenue recognition, or an engineering background can help, but isn't required.
• You use AI tools as part of how you work: prototyping, analysis, spec writing, and investigation.

About the team

In Monetization, we coordinate across engineering, Finance, Legal, Compliance and go-to-market on new products and pricing models. Our remote, asynchronous work uses written issues, and epics to keep decisions visible.

An overview of this role

As a Principal Executive Recruiter at GitLab, you’ll lead VP-level and other senior leadership searches across Sales, People, Legal, Finance, and other corporate teams. You’ll partner directly with senior executives to identify, engage, assess, and hire leaders, bringing market intelligence and a research-driven approach to complex, often confidential searches. Alongside owning searches end to end, you’ll help shape the strategies, frameworks, and practices that strengthen executive recruiting at GitLab, balancing search rigor with the agility of a fast-moving technology organization.

What you’ll do

• Lead VP-level and other senior leadership searches end to end, from search strategy and market mapping through assessment, selection, and closing.
• Advise C-suite executives and senior business leaders on hiring decisions, challenge assumptions, and navigate complex stakeholder dynamics.
• Develop talent strategies using market mapping, competitive intelligence, creative sourcing, and recruiting data to guide each search.
• Build relationships with passive executive talent, understand their motivations, and connect opportunities to GitLab’s mission and business priorities.
• Partner with hiring leaders to define success profiles, assess executive capabilities and business impact, and guide evidence-based hiring decisions.
• Own executive candidate relationships and deliver a high-touch experience through compensation discussions, competing opportunities, and negotiations.
• Manage multiple confidential, business-critical searches with discretion, balancing urgency, quality, stakeholder alignment, and candidate experience.
• Collaborate with Talent Acquisition leadership and executive recruiting peers to improve search frameworks, assessment practices, reporting, and tools.

What you’ll bring

• Experience independently leading VP-level and senior executive searches through successful hires in an executive search firm, an in-house executive recruiting function, or both.
• Executive recruiting experience across functions such as Sales, People, Legal, Finance, or other corporate teams, with the business acumen and curiosity to learn new domains.
• The ability to build trusted relationships with C-suite executives, influence senior stakeholders, and provide candid, evidence-based guidance on hiring decisions.
• Skills in talent research, market mapping, creative sourcing, leadership assessment, and engaging and closing passive executive talent.
• Business judgment, communication, and negotiation skills to navigate sensitive searches, complex compensation discussions, and competing executive priorities.
• Experience developing or improving executive search methodologies, frameworks, and processes while maintaining speed and flexibility.
• A hands-on approach to managing multiple high-priority searches independently and working through ambiguity.
• Experience in high-growth technology or enterprise software organizations, global executive searches, and distributed organizations is helpful.

About the team

You’ll join a globally distributed, remote-first Talent Acquisition team where clear communication and reliable follow-through matter. Guided by GitLab’s operating principles, including Speed with Quality, Ownership Mindset, and Customer Outcomes, we take ownership, move with urgency and rigor, and focus on hiring outcomes that matter to our internal customers. We share learnings and create reusable resources to continually improve the quality and consistency of hiring across Business teams.

Intermediate Fullstack Engineer, Subscription Lifecycle (Monetization)

Remote, AMEA

An overview of this role

As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers use to view and manage subscriptions, renew products, configure auto-renewal, and manage billing accounts. Your work will span renewals, overages and reconciliations, subscription visibility, and budget and reservation management, keeping subscription, billing, and account data accurate and reliable. Because these workflows directly affect revenue, customer access, and financial information, you'll use technical judgment, safe and iterative rollouts, and a high bar for reliability and correctness.

Some examples of our projects:

• Building a clear, reliable subscription view across the Customers Portal and related surfaces
• Improving manual renewal and auto-renewal flows, including supporting emails, banners, and account experiences

What you'll do

• Design and build fullstack features across the post-purchase subscription journey.
• Contribute to the technical design and implementation of new subscription lifecycle capabilities.
• Partner with Product and Design to translate renewal, billing account, and customer experience requirements into resilient, well-tested solutions.
• Integrate subscription lifecycle workflows safely with billing, customer account, and internal admin systems.
• Write maintainable, well-tested code and follow engineering practices for rollout safety and monitoring.
• Participate in code reviews and provide thoughtful, constructive feedback.
• Identify and reduce technical debt and architectural risk in the subscription lifecycle.
• Participate in incident response for subscription and renewal issues, given their potential impact on revenue and customer access.

What you'll bring

• Professional experience as a fullstack engineer and confidence working across frontend and backend code. Our purchase applications use Ruby on Rails and Vue.js.
• Experience owning technical direction for a product area, including proposing, discussing, and driving thorough, iterative solutions.
• Experience building or maintaining transactional or checkout-style flows, ideally in a billing, ecommerce, or subscription context.
• Familiarity integrating with third-party billing or customer relationship management systems, such as Zuora, Salesforce, or Stripe, is a plus, not a requirement.
• A focus on safe, incremental delivery given the revenue and customer impact of this work.
• The ability to communicate clearly and concisely about complex technical, architectural, and organizational problems and propose thorough, iterative solutions.
• Written and spoken English proficiency sufficient to collaborate in a remote, largely asynchronous work environment.
• Alignment with GitLab's values and a commitment to working in accordance with them.

About the team

The Subscription Lifecycle team is part of GitLab's Monetization section and owns the post-purchase subscription experience. You'll partner with Sales, Finance, Information Technology, and Support on secure, reliable purchasing, billing, provisioning, and utilization workflows, and report to the Engineering Manager, Purchase. The team works asynchronously, with regular planning and retrospectives and shared expectations for deployments, incident management, testing, and rollout safety. GitLab's mission is to enable everyone to contribute and co-create the software that powers our world. The Purchase team's mission is to make it as easy as possible for anyone to buy, add on to, or upgrade GitLab through a single, trustworthy, unified purchase experience. For more on how Monetization works, see the Monetization sub-department handbook.

How GitLab Supports Full-Time Employees

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation and Employee Stock Purchase Plan
• Growth and development budget
• Parental leave
• Home office support

An overview of this role

As a Software Engineer on GitLab's Authorization team, you'll help build and maintain the system that decides what every user, token, and automated agent can access on GitLab.com, Self-Managed, and Dedicated. You'll work alongside experienced engineers who guide the larger design decisions, delivering well-scoped changes and growing into ownership of larger parts of the system.

Today, that work is Ruby on Rails. Roughly 400 policy classes and a catalog of about 1,900 permissions sit behind every application programming interface (API) request. You'll work on fine-grained token permissions, custom roles, and the GraphQL and representational state transfer (REST) APIs that enforce them. A single request can trigger hundreds of permission checks, so correctness and performance both matter.

You'll also contribute to moving the permission model to a new authorization stack that pairs the Rails monolith with a Rust policy engine. The engine represents access relationships and evaluates permission rules, and can run within the monolith's process or be reached through remote procedure calls using gRPC. You don't need prior Rust experience: several engineers on the team learned it for this work, and we'll support you doing the same.

Some examples of our projects:

• Refactoring GitLab's policy layer so the same permission definitions can be evaluated by the monolith and the new authorization service
• Extending fine-grained token permissions to more resources, with guidance from senior engineers on the design

What you'll do

• Implement authorization changes in GitLab's Ruby on Rails monolith so permission checks allow intended access and deny unauthorized access.
• Deliver well-scoped workstreams from feature-flagged rollout through verifying that the old and new systems produce the same results, with review and guidance from senior engineers.
• Build and extend fine-grained permissions for tokens and roles so additional resources have permission coverage consistent with the established catalog.
• Extend and fix authorization enforcement so GraphQL and the REST API enforce the intended permissions consistently.
• Make incremental refactors to long-lived policy code without changing behavior for existing customers.
• Investigate and fix reliability, performance, and security issues so affected permission checks return the expected results without regressions.
• Work with the authentication, platform, and artificial intelligence (AI) teams to document interface contracts that keep permission checks consistent as authorization moves toward a shared service.
• Contribute to design documents, merge requests, and code reviews so proposed changes have a documented rationale and review feedback is addressed asynchronously.

What you'll bring

• Solid experience building and maintaining production Ruby on Rails applications, typically gained over 2 to 4 years or more.
• Hands-on experience with authorization concepts, such as role-based access control or fine-grained permissions, from work or projects.
• A security mindset: you treat a permission bug as a security bug and consider who a change could affect before choosing an implementation.
• Experience making careful changes to existing codebases, including incremental refactors and feature-flagged rollouts that preserve existing behavior.
• Familiarity with GraphQL or API authorization patterns.
• Awareness of performance, including how repeated permission checks can add up on every request.
• Strong written communication and the ability to work effectively when most decisions happen in a document or merge request rather than a meeting.
• Helpful, but not required: hands-on PostgreSQL experience, or experience with Rust, gRPC or Protocol Buffers, Cedar or other policy languages, Zanzibar-style authorization systems, Go, or service-oriented architecture.

We welcome transferable experience from adjacent domains such as identity, policy engines, and platform security.

About the team

We work in a fully asynchronous organization, with most decisions made in documents or merge requests rather than meetings.

GitLab's mission is to enable everyone to contribute to and co-create the software that powers our world. Our values include collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. We expect all GitLab team members to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.

An overview of this role

As a Staff Regional Marketing Manager, you will own regional marketing for the sales team in your territory and set the standard for how the regional team plans and runs its work. You will choose, plan, and run the events and campaigns that create, expand, and accelerate pipeline in your region, and you will move easily between high-level strategy and creative, detailed execution. Staff is a leadership-level individual contributor role: you lead through the work you build and ship, not through direct reports. In a modern marketing organization, that means building and running your own plans, programs, measurement, and AI-assisted automation instead of handing them off, and it suits builders who are comfortable being a leader without a team to manage. Your audience is CIOs, CTOs, VPs of engineering and platform, and the security leaders who govern how their teams ship software. You will judge audience quality by seniority and buying role, not headcount, so you will need to understand how they work and what they want from a vendor.

You will support both direct and channel sales teams, work with GitLab partners on Channel and Alliance Marketing activities, and partner with external agencies and third parties to prepare and run campaigns. As a senior individual contributor, you will mentor other regional marketers, help build and improve team process, and share best practices with regional peers by planning and operating transparently. Your impact is measured in pipeline: the target is 10X spend contribution to sales pipeline for your region, with your regional budget spent within 5% variance. This role supports one of our sales regions (AMER, EMEA, or APAC), and involves travel up to 50% of the time.

What You’ll Do  

• Drive results for your region as its marketing leader: own the pipeline and growth outcomes, and go beyond events and experiences to bring partners in to drive marketing across channels, in support of growth through our revenue team.
• Adapt digital and content marketing programs to the needs of your regional sales team.
• Create, expand, and accelerate sales opportunities through regional and account-focused campaigns that promote GitLab’s products and services, within the marketing strategy.
• Set regional event and campaign strategy, with discretion over which events and campaigns best support regional sales goals, and manage events onsite, including logistics, booth staffing, and swag.
• Project manage every campaign from start to finish, following the GitLab process, so each one meets its objectives, arrives on time, and stays within budget, then measure and report on its effectiveness.
• Lead cross-functional work to drive demand generation and regional marketing plans, and advocate for your sales region within marketing and for marketing with your sales team.
• Support Channel and Alliance Marketing activities with GitLab partners, from campaign approval through execution.
• Work with external agencies and third parties to prepare, manage, and execute campaigns.
• Mentor and guide regional marketing specialists and managers, and lead in building and driving process within the team.

What You’ll Bring 

• Proven ability to build and execute  a regional strategy, with a record of delivering, accelerating, and expanding sales pipeline through regional marketing.
• Experience supporting both direct sales and channel sales teams, and in enterprise solution demand creation and regional marketing.
• Exemplary analytical skills and a proven aptitude for using data to optimize program performance and inform future strategies.
• Excellent communication skills, with a proven ability to convey ideas and data clearly in writing and in presentations to a variety of audiences, without a fear of over-communicating. You plan and operate transparently and share best practices with other regional marketers.
• A proven aptitude for building and driving a budget within your territory, and extreme attention to program details and deadlines.
• The capacity to empathize with CIOs, CTOs, VPs of engineering and platform, and the security leaders who govern how their teams ship software, and a passion for, and substantial understanding of, the developer tools, IT operations tools, and/or IT security markets.
• Ability to use GitLab, and you share our values and work in accordance with them.
• Ability to travel up to 50% and to comply with the company’s travel policy.

About the team

Regional Marketing at GitLab turns marketing strategy into regional action. We support our sales teams in AMER, EMEA, and APAC by running the events and campaigns that build pipeline in their territories, working with direct sellers, channel sellers, and alliance partners. We work closely with Product Marketing, Corporate Events, Digital Marketing, Marketing Operations, Developer Relations, Business Development, Customer Success Managers, and Solution Architects. Our goals are set through the Marketing OKRs and measured in pipeline contribution and regional budget. To see how the role fits in the team and where it can lead, read the Regional Marketing Manager job family and the Regional Marketing leadership page.

An overview of this role

As a Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service.

You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform.

What you’ll do

• Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow.
• Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes.
• Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests.
• Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient.
• Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use.
• Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor.
• Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely.
• Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook.

What You'll Bring

• Professional experience shipping production data pipelines in Python.
• Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred.
• Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion.
• Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling.
• Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review.
• Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short.
• Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values.
• Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration.

About the team

The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook.

An overview of this role

We are hiring a Staff Product Security Architect to join our Security Platforms and Architecture organization at GitLab.

Rather than operating as a purely consultative body, Security Architecture at GitLab functions as a hands-on technical driver. Our mission is to embed proactive guidance directly into modern developer workflows and automated coding environments, embedding security standards into the software development process from the outset. We strive to enable teams to deliver secure, resilient software seamlessly while minimizing reliance on manual security gates.

In this role, you will collaborate closely with product engineering organizations, spearhead architectural strategy for critical capabilities, and serve as the primary Security Owner driving risk reduction for key entries within our risk management framework. Your daily work will span architectural design reviews, technical prototyping, and establishing scalable patterns that enable engineering teams to execute autonomously.

What you’ll do  

• Partner with engineering and product leadership across GitLab, developing enough context in their domains to anticipate security problems rather than react to them
• Lead security architecture and design work for strategic initiatives, and provide direction to the cross-functional teams delivering them
• Identify, assess, and prioritise systemic security risks, and act as Security Owner for high-priority items in the Product Security Risk Register, co-executing remediation with the teams who own the code
• Codify recurring security decisions into reusable artifacts — guardrails, standards, design patterns,skills, and reference threat models — delivered into developer and AI coding tool workflows
• Build proofs of concept and prototypes to unblock engineering teams and shorten the distance between a security requirement and a working implementation
• Conduct security architecture reviews for large or strategic projects, and coordinate with Application Security so that review coverage is comprehensive and correctly prioritised
• Threat model new and existing systems, and establish the patterns that let teams threat model their own work
• Work with Security Research on proactive exploration of unknown risks in GitLab's architecture
• Anticipate emerging security challenges and propose architectural responses before they reach implementation
• Mentor security engineers across the division, and represent security architecture to engineering audiences

What you’ll bring 

• Depth in application security architecture, including authentication and authorization models, privilege escalation, multi-tenant isolation, and trust boundary analysis
• Experience securing distributed systems, including service-to-service authentication, secrets handling, and the failure modes of security decisions made across process boundaries
• Working knowledge of software supply chain security: build and release integrity, artifact provenance, and dependency risk
• A track record of proactive architecture work — identifying risk before it becomes an incident, and designing something that prevents a class of problem rather than an instance of one
• Demonstrated ability to build trusted relationships with engineering leadership and influence technical direction through expertise rather than gatekeeping
• Experience defining security standards or patterns that teams adopted without being compelled to
• The ability to operate strategically while remaining hands-on, including reading unfamiliar code, building prototypes, and contributing changes
• Clear written communication, and the ability to make a security argument to an engineering audience that does not already agree with it
• A view on how security guidance should be authored and delivered for AI coding tools, not only for humans

About the team

Security Architects are a part of our Security Platforms and Architecture team, who address complex security challenges facing GitLab and its customers to enable GitLab to be the most secure software factory platform on the market. Composed of Security Architecture, Security Research, and Application Security, we focus on systemic product security risks and work cross-functionally to mitigate them while maintaining Engineering’s development velocity.

In FY27, we're implementing a new organizational model where each architect is dedicated to a specific functional area of GitLab's product, enabling deeper context, stronger relationships, and more proactive security guidance. As the Core DevOps architect, you'll be part of a team that includes architects focused on AI and the Sec Section, creating opportunities for collaboration on cross-cutting security challenges while maintaining specialized expertise in your domain.

An overview of this role

As a Staff Software Engineer, you'll help lead two important areas for GitLab Security: the data layer behind our vulnerability and dependency management capabilities, and our move toward services outside the GitLab monolith. You'll design and develop systems that ingest, store, index, and query security report data, including integrations with key third-party systems. With a strong focus on PostgreSQL and scalable backend design, your work will support security features delivered by teams across GitLab.

You'll take ownership of large deliverables from early ideas through implementation, working directly with product, design, frontend, and engineering partners to shape the technical and product roadmap. You'll stay hands-on across GitLab's Ruby on Rails application and newer services, including greenfield projects, while helping the team build its expertise in modular service design.

What you’ll do

• Lead large technical deliverables from initial problem definition through delivery, often across multiple months or quarters.
• Design and develop backend systems for vulnerability and dependency management, including security report ingestion, storage, indexing, querying, and integrations with key third-party systems.
• Build and improve systems using Ruby on Rails and PostgreSQL, and contribute to newer services using technologies such as Go or Rust where appropriate.
• Shape technical plans, break down complex work, and help other engineers deliver effectively.
• Work directly with product, design, frontend, and engineering partners to make clear decisions, resolve constraints, and deliver measurable progress.
• Influence the team's product and technical roadmap through hands-on investigation, clear proposals, and iterative delivery that demonstrates progress in each monthly release cycle.
• Apply a security mindset when designing systems, including considering how GitLab identifies and handles malicious or vulnerable software packages.
• Define patterns for modular services, provide technical leadership when vulnerability management work spans multiple GitLab areas, and share that expertise across GitLab Security.

What you’ll bring

• Experience leading complex backend projects from idea through delivery while remaining hands-on with design and development.
• Strong PostgreSQL experience, including evidence of query optimization, table optimization, and write-ahead log management in data-intensive systems.
• Strong professional experience with Ruby on Rails or  Go and comfort working in Ruby on Rails day to day. Experience with large monoliths is helpful, along with an interest in working across languages and services.
• Experience shaping delivery plans, guiding technical decisions, and supporting the work of other engineers.
• The ability to collaborate with a range of partners and explain technical trade-offs clearly.
• Experience communicating with leaders, leading peers through complex delivery, identifying constraints, and moving work forward.
• Experience using security tooling for activities such as vulnerability triage and remediation, or professional experience building vulnerability management, dependency management, or related security products.
• Experience with large-scale data systems or established software products. We welcome transferable experience from outside the security domain.
• Fluency in using artificial intelligence tools to improve delivery while applying sound engineering judgment.

About the team

The Vulnerability Management team contributes to GitLab's move toward modular services and will help other Security teams adopt these patterns over time. Today, we include two Staff Software Engineers, two Senior Software Engineers, and one Intermediate Software Engineer across the United Kingdom, Poland, the Netherlands, and India. You'll work closely with us, product partners, and engineering leaders across GitLab.

We work with clear goals and shared priorities. You'll receive clear context and outcomes, then have the space to own delivery, communicate decisions and progress, ask for help early, and work directly with the partners needed to get the job done.

Senior Professional Services Project Manager (London area)

An overview of this role

GitLab Senior Professional Services Project Managers manage complex projects from initiation through delivery and closure. In this role, you'll coordinate with cross-functional teams and our global customers to complete distinct projects on time and within budget. You'll use your experience managing information technology and software consulting projects and your knowledge of traditional and agile project management and software development methods. You'll also manage executive stakeholder communications, manage escalations, and help improve Professional Services project management practices.

What you’ll do

• Manage large-scale commercial projects and executive stakeholder meetings and communications.
• Collaborate with GitLab Support, Engineering, and Product teams to resolve complex customer problems using GitLab technologies.
• Drive improvements to Professional Services project management tools, processes, procedures, and templates.
• Summarize key customer projects monthly and provide a summary for quarterly business reviews.
• Develop and manage delivery schedules, customer expectations, project scope, resources, status, risks, and issues for technical and consulting services.
• Manage customer escalations by coordinating with customers and GitLab stakeholders, including the executive team, Sales, and Technical Account Managers.
• Establish reliable, repeatable delivery processes, metrics, and operational procedures.
• Set and achieve forecast goals by aligning customers, Technical Architects, project engineers, partner consultants, and delivery partners.

What you’ll bring

• Experience managing complex information technology or software consulting projects for external customers from initiation through closure.
• Ability to manage project scope, schedules, resources, customer expectations, risks, issues, and multiple priorities while delivering concise executive-level status reports.
• Ability to build effective relationships with customer leaders, communicate with internal and external stakeholders, and manage escalations.
• Ability to identify and resolve project challenges, motivate advisory teams and contributors, and mediate conflicts.
• Experience supporting timely revenue recognition and executing change orders when needed.
• Knowledge of project management and technical delivery methods for software, including Project Management Institute methodologies, agile or Scrum, the software development lifecycle, and project management or agile tools such as GitLab.
• Enterprise customer and Professional Services experience is a plus.

An Overview of this Role

As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data Science. You have two mandates:

1. Drive product impact now. Set the analytical agenda for your product areas and make sure the team's work changes decisions.
2. Build the merged Data Science function. Define excellence for a Data Scientist who blends analytics and data science, and grow the team to that bar.

You lead mainly through others, and step in hands-on when it matters: reviewing a model, pressure-testing an analysis, or writing the query yourself.

What you’ll do

• Set a long-range vision and roadmap for Product Data Science, and show the team how its goals connect to company strategy
• Own prioritization and trade-offs across product areas, and adapt the team as priorities shift
• Be the go-to partner for Product and Engineering leaders on complex and urgent questions, choosing the right approach: a deep dive, an experiment, or a production model
• Raise risks and resource gaps early, and bring senior leaders clear options to drive timely decisions
• Hire, coach, and retain a high-performing team: build career paths, act on team feedback, and make tough talent decisions when needed
• Build a high-trust culture of urgency and accountability, where the team communicates openly, shares progress on a predictable cadence, and delivers quality results on time
• Set standards for experimentation, causal inference, metric definition, and production modeling

What you’ll bring

• 10+ years in data science, product analytics, or a related field, including 3+ years managing data science or analytics teams in B2B SaaS or tech
• Strong product sense and a track record as a trusted partner to Product and Engineering leaders
• Exceptional communicator who makes complex problems and findings clear to any audience, from Product leaders to executives, and coaches others to do the same
• Thrives in ambiguity: structures undefined problems, gathers the right information, and makes sound decisions on high-risk, cross-team issues
• Courage to challenge: offers dissenting views, asks tough questions, and fosters inclusive debate
• Deep expertise in statistics and experimentation, including hands-on use of quasi-experimental methods (difference-in-differences, synthetic control, propensity score matching)
• Expert SQL (Snowflake preferred) and strong Python, with experience taking ML models to production
• Fluent with AI tools, with sound judgment on when AI output can be trusted
• Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values

Nice to Have

• Experience with developer tools, DevSecOps, or product-led growth products
• Experience measuring adoption and quality of AI-powered product features
• Thought leadership in data science or analytics, internally and externally
• Advanced degree in a quantitative field

About the Team

Product Data Science brings Data Science and Analytics together into one function. Our Data Scientists are business partners first, pairing strong product judgment with deep skill in SQL, Python, statistics, and machine learning. We help Product and Engineering decide what to build, measure what worked, and understand how customers get value from GitLab.

The opportunity is growing fast. AI is driving growth in GitLab's consumption business, creating new ways for data to drive growth. As AI takes over routine reporting, the team focuses on the hard problems: experimentation, causal inference, production models, and recommendations leaders act on.