Вакансии gitlab: работа в IT и digital

An overview of this role

As a Subject Matter Expert (SME), you'll be the deepest technical voice in the field for one product group, helping customers make technical decisions on GitLab's most important opportunities, roughly the top 10% by size or complexity.

Account Solutions Architects (Account SAs) will bring you into prioritized opportunities. The Account SA owns the opportunity; you own your product group's success within it. You'll work directly with Product and Engineering, bringing customer needs and field insights into roadmap discussions. You'll also help the wider Solutions Architecture team build expertise through reusable assets, enablement, and coaching.

You'll specialize in one product group, not all four. In Security & Compliance, you'll focus on GitLab Ultimate, application security, Dependency Firewall, software supply chain security, compliance, and artificial intelligence (AI) governance. In Platform, you'll focus on GitLab Dedicated, self-managed deployments, bring your own model, and cloud and hybrid architecture. In Core DevSecOps, you'll focus on GitLab Premium, continuous integration and continuous delivery (CI/CD), source code management, Orbit, Artifact Central, and migrations. DevSecOps brings development, security, and operations together across software delivery. In AI & Competitive, you'll focus on GitLab Duo Agent Platform, agentic workflows, AI-native development, competitive displacement including GitHub, and migrations.

Your success will be measured by technical win rate and bookings on SME-engaged opportunities, product-category commit attainment and consumption growth in your region, and Proof of Value (PoV) conversion rate, evaluation cycle time, and time from technical win to production use. We'll also measure how often Account SAs reuse your assets, their confidence in handling your product group without escalation, and the quality and impact of your feedback to Product.

What you’ll do

• Act as the technical authority for your product group on prioritized opportunities, from discovery and architecture through trials and PoV evaluations.
• Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and explain how GitLab differs from competing solutions.
• Design and improve standardized PoV templates with clear, repeatable success criteria. Account SAs own the customer PoV; you'll contribute product-specific content and expertise while keeping the evaluation connected to the broader GitLab platform.
• Equip account teams for product launches with Product Management and Product Marketing. Build demos and talk tracks, and turn early customer wins into reference stories.
• Serve as the escalation point for Account SAs and Post-Sales Solutions Architects (Post-Sales SAs) on complex product questions, integrations, and objections.
• Hand off PoV success criteria and architecture decisions to the Post-Sales SA with the account team when an opportunity closes. Stay involved until the customer's first production workload uses the product, and support complex accounts when Post-Sales SAs bring you in to drive adoption and consumption.
• Bring structured field feedback, competitive insights, and customer requirements to Product Management and Engineering with the wider SME team. Help manage early-access and design-partner programs, and represent GitLab through customer events, conferences, industry working groups, and published content.
• Build reference architectures, demo environments, competitive battlecards, PoV playbooks, and enablement content so account teams can handle more opportunities without your direct involvement. Mentor Account SAs and contribute to GitLab's global SME community of practice.

What you’ll bring

• Substantial experience in technical pre-sales, solutions architecture, consulting, or software engineering, with deep, hands-on expertise in one domain: application security testing, supply chain security, and compliance; scalable cloud and hybrid platforms; large CI/CD environments and source code migrations; or production AI-assisted development, working prototypes, and competitive evaluations.
• Practical expertise in agentic and AI-assisted development workflows across planning, coding, testing, security, and delivery, applied in a customer-facing, pre-sales context.
• Experience winning technical decisions on large, complex enterprise opportunities through structured Proof of Concept (PoC) or PoV evaluations with defined success criteria and executive sign-off.
• Hands-on experience with Git, CI/CD, containers, Kubernetes, and at least one major cloud provider.
• The ability to lead a whiteboard session with engineers and present the business case to executives in the same meeting.
• Strong written communication, including the ability to turn complex topics into clear playbooks that others use.
• Comfort working asynchronously across time zones with Sales, Product, and Engineering.
• Optional: public speaking, published technical content, open source contributions, or relevant certifications in Kubernetes, cloud architecture, or security.

If you bring transferable experience in an adjacent domain, we encourage you to apply.

About the team

We're building our SME organization within GitLab's Solutions Architecture team, and we're distributed and all-remote.

An overview of this role

As a Subject Matter Expert (SME), you'll be the deepest technical voice in the field for one product group, helping customers make technical decisions on GitLab's most important opportunities, roughly the top 10% by size or complexity.

Account Solutions Architects (Account SAs) will bring you into prioritized opportunities. The Account SA owns the opportunity; you own your product group's success within it. You'll work directly with Product and Engineering, bringing customer needs and field insights into roadmap discussions. You'll also help the wider Solutions Architecture team build expertise through reusable assets, enablement, and coaching.

You'll specialize in one product group, not all four. In Security & Compliance, you'll focus on GitLab Ultimate, application security, Dependency Firewall, software supply chain security, compliance, and artificial intelligence (AI) governance. In Platform, you'll focus on GitLab Dedicated, self-managed deployments, bring your own model, and cloud and hybrid architecture. In Core DevSecOps, you'll focus on GitLab Premium, continuous integration and continuous delivery (CI/CD), source code management, Orbit, Artifact Central, and migrations. DevSecOps brings development, security, and operations together across software delivery. In AI & Competitive, you'll focus on GitLab Duo Agent Platform, agentic workflows, AI-native development, competitive displacement including GitHub, and migrations.

Your success will be measured by technical win rate and bookings on SME-engaged opportunities, product-category commit attainment and consumption growth in your region, and Proof of Value (PoV) conversion rate, evaluation cycle time, and time from technical win to production use. We'll also measure how often Account SAs reuse your assets, their confidence in handling your product group without escalation, and the quality and impact of your feedback to Product.

What you’ll do

• Act as the technical authority for your product group on prioritized opportunities, from discovery and architecture through trials and PoV evaluations.
• Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and explain how GitLab differs from competing solutions.
• Design and improve standardized PoV templates with clear, repeatable success criteria. Account SAs own the customer PoV; you'll contribute product-specific content and expertise while keeping the evaluation connected to the broader GitLab platform.
• Equip account teams for product launches with Product Management and Product Marketing. Build demos and talk tracks, and turn early customer wins into reference stories.
• Serve as the escalation point for Account SAs and Post-Sales Solutions Architects (Post-Sales SAs) on complex product questions, integrations, and objections.
• Hand off PoV success criteria and architecture decisions to the Post-Sales SA with the account team when an opportunity closes. Stay involved until the customer's first production workload uses the product, and support complex accounts when Post-Sales SAs bring you in to drive adoption and consumption.
• Bring structured field feedback, competitive insights, and customer requirements to Product Management and Engineering with the wider SME team. Help manage early-access and design-partner programs, and represent GitLab through customer events, conferences, industry working groups, and published content.
• Build reference architectures, demo environments, competitive battlecards, PoV playbooks, and enablement content so account teams can handle more opportunities without your direct involvement. Mentor Account SAs and contribute to GitLab's global SME community of practice.

What you’ll bring

• Substantial experience in technical pre-sales, solutions architecture, consulting, or software engineering, with deep, hands-on expertise in one domain: application security testing, supply chain security, and compliance; scalable cloud and hybrid platforms; large CI/CD environments and source code migrations; or production AI-assisted development, working prototypes, and competitive evaluations.
• Practical expertise in agentic and AI-assisted development workflows across planning, coding, testing, security, and delivery, applied in a customer-facing, pre-sales context.
• Experience winning technical decisions on large, complex enterprise opportunities through structured Proof of Concept (PoC) or PoV evaluations with defined success criteria and executive sign-off.
• Hands-on experience with Git, CI/CD, containers, Kubernetes, and at least one major cloud provider.
• The ability to lead a whiteboard session with engineers and present the business case to executives in the same meeting.
• Strong written communication, including the ability to turn complex topics into clear playbooks that others use.
• Comfort working asynchronously across time zones with Sales, Product, and Engineering.
• Optional: public speaking, published technical content, open source contributions, or relevant certifications in Kubernetes, cloud architecture, or security.

If you bring transferable experience in an adjacent domain, we encourage you to apply.

About the team

We're building our SME organization within GitLab's Solutions Architecture team, and we're distributed and all-remote.

How GitLab will support you

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off 
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

An overview of this role

As the Senior People Business Partner, Engineering, you'll be a strategic partner to senior Engineering leaders, including VPs and Senior Directors, helping them navigate change, mature their organizations, and build a healthy, high-performance culture. You'll focus on Engineering-specific challenges such as evolving job architecture and leveling, supporting executive leadership transitions, and driving consistency in how we develop, calibrate, and grow Engineering talent across distributed teams. In this role, you'll work globally, with a particular focus on supporting leaders across regions, and help make complex transformations clear and manageable for leaders and their teams.

You'll report into the PBP organization and work closely with peers across the team, including current and former Engineering PBPs, to shape how GitLab's Engineering function operates as we continue to grow. You'll be expected to build trust quickly with senior Engineering leaders, contribute to Engineering-wide processes such as calibrations and offsites, and help bring cohesion to a leadership team that includes both tenured GitLab team members and newer leaders. This role is a good fit if you enjoy a fast-paced tech environment, are comfortable with ambiguity and change, and want to make a visible impact on how Engineering teams are structured, supported, and set up to deliver results.

What You’ll Do  

• Partner with senior Engineering leaders, including VPs and Senior Directors, to understand their organizations, priorities, and challenges, and translate these into clear people and business priorities.
• Drive and support job architecture changes in Engineering, including the introduction of new levels, to help leaders adopt and mature consistent role expectations and career paths.
• Lead and facilitate key Engineering people processes, such as calibrations, in close partnership with the PBP team and cross-functional partners such as Talent Management.
• Advise and coach Engineering leaders on topics such as organization design, change management, and navigating global teams, including regional considerations in EMEA.
• Work closely with other PBPs and Talent partners to share insights, align on approaches, and provide a consistent, high-quality experience for Engineering leaders and their teams.
• Use data and qualitative feedback to identify trends in the Engineering organization and recommend actions that improve effectiveness, engagement, and performance.
• Support the planning and execution of Engineering offsites and other key forums so leaders can align on priorities, make decisions, and move work forward efficiently.
• Drive key talent initiatives aligned with business outcomes.

What You’ll Bring 

• Experience as a People Business Partner or in a similar role supporting Engineering or technical organizations, ideally in a fast-paced tech environment of comparable size and complexity.
• A track record of partnering with senior leaders, including Senior Directors and VPs, building trusted relationships, influencing decisions, and providing clear, data-informed guidance.
• Experience supporting globally distributed teams, including working across multiple regions and time zones and navigating regional differences such as those in EMEA.
• Demonstrated ability to help organizations navigate through change or transformation, such as job architecture updates, leadership transitions, or shifts in team structure and culture, while balancing strategic work such as organizational design, leadership effectiveness, and culture initiatives with hands-on execution of core People processes.
• Strong coaching, communication and collaboration skills, including working asynchronously and partnering cross-functionally with Talent Acquisition, Total Rewards, and other People teams.
• Openness to learning GitLab's ways of working and applying transferable experience from related domains, such as Product or IT, while developing a deeper understanding of Engineering needs.
• Strong business acumen.

About the team

The Engineering People Business Partner (PBP) team supports GitLab's Engineering teams globally to build a high-performing, scalable, and globally distributed organization. You'll partner closely with senior leaders whose teams are based across the US and EMEA. You'll also collaborate asynchronously with other PBPs, Talent Management, and cross-functional partners to support organization design, performance and calibration processes, and ongoing culture and leadership development. The team is focused on maturing Engineering's people practices, creating cohesion across leaders at different stages in their GitLab journey, and helping the organization navigate major transformations in structure, ways of working, and leadership.

You can expect quarterly travel for Engineering and PBP offsites and collaborative forums. This role also requires significant working-hours overlap with US Central or East Coast time zones to support the team's global operations. Candidates based in other locations who can accommodate these hours are welcome to apply.

An overview of this role

As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders.
You will have three mandates:

1. Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check.
2. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access patterns (Claude, MCP servers, Slack agents) that put trusted data in everyone's hands.
3. Build data applications the whole company relies on. Ship production-grade apps that combine trusted data, APIs, and AI to answer questions dashboards can't.

What you'll do

• Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool
• Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions
• Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck
• Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality
• Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready
• Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable
• Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost
• Build self-service capabilities, such as Claude skills, documentation, and guided workflows, that help people find and use data on their own
• Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools, that combine Snowflake data, API calls, AI-powered deep dives, and write-back to Postgres or Snowflake
• Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring) so they're reliable at company scale
• Set a long-range roadmap tied to company strategy, and a lightweight operating model that balances urgent stakeholder needs with investment in reusable data products and tech-debt reduction
• Hire, coach, and retain a high-performing team of 8: build career paths, develop leaders, distribute ownership, and recognize great work
• Act as customer zero for GitLab and GitLab Duo in data workflows, sharing feedback with Product and Engineering

What you'll bring

• 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads
• Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project
• Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code
• Expert SQL and strong Snowflake experience; working knowledge of Python
• Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies)
• Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale
• Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects
• Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company
• Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state
• 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 LLM routing or gateway tools and managing model costs
• Experience with Tableau, Omni, or a BI platform migration
• Experience with web app development (e.g., React, TypeScript) and Postgres
• Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable

About the Team

Analytics Engineering makes GitLab's data trusted, easy to find, and ready for anyone to use, whether they ask a dashboard, Claude, or a Slack agent. We own the curated data models, the semantic layer, the self-service tools, and the data applications that let teams answer their own questions.

AI is changing how people get to data. Questions that once went through an analyst now go straight to AI tools, so the answers are only as good as the data models and business definitions behind them. Our job is to make those answers correct, consistent, and measurable.

An overview of this role

We are looking for a Backend Engineer to join our Change Record team within GitLab’s Source Code stage. As AI agents increasingly write code alongside people, every change needs a clear, trustworthy record of what changed, why, and who or what made it. You’ll build that record into GitLab’s source code experience, for humans and agents alike. This is a backend-focused role for an engineer with full-stack experience who enjoys balancing work on existing systems with new product development.

That work happens in one of GitLab’s oldest and most complex product areas, where you’ll use Ruby on Rails to improve a critical system serving GitLab.com, self-managed instances, and GitLab Dedicated. Source Code provides the interface layer, through Gitaly, to the Git repositories behind a large share of GitLab traffic, so you’ll help keep it reliable through performance tuning, caching, rate limiting, observability, and resiliency, collaborating with product, design, security, Gitaly, Code Review, and Source Code Experience teams. Supporting production systems and improving established experiences are central to the role, especially while you’re onboarding, and over time you’ll also help build experiences for developers working with agents.

You'll work remotely from the United Kingdom or Poland.

What you’ll do

• Develop secure, well-tested, performant features and improvements using Ruby on Rails and GraphQL, among other technologies.
• Work through complex requirements and legacy constraints to deliver clear solutions while protecting the reliability of this critical system.
• Design and maintain backend services, APIs, data models, and business logic that support intuitive source code workflows.
• Collaborate across functions and teams, both asynchronously and synchronously, and involve domain experts when their input will improve the outcome.
• Use AI agents for well-scoped work when they can speed up delivery without sacrificing quality, and critically review their output.
• Write maintainable code that follows GitLab's standards and contribute to constructive code reviews.
• Help strengthen reliability by monitoring production health metrics, participating in Tier 2 on-call, troubleshooting incidents, contributing to root cause analysis, and improving observability and resiliency.
• Share knowledge through code review, technical documentation, and everyday collaboration while learning from others.

What you’ll bring

• Professional experience building backend web applications, services, or application programming interfaces, with experience using Ruby and GraphQL.
• An understanding of relational databases, structured query language, data modeling, caching, background processing, and backend performance practices.
• Experience with full-stack development to build and maintain user-facing workflows and their underlying systems.
• Experience writing backend unit and integration tests, with familiarity with the testing pyramid, Git, and collaborative code review processes.
• Clear written and spoken English communication skills, including sharing useful status updates in a remote, asynchronous environment.
• The ability to manage assigned priorities, work through ambiguity, take ownership of your work, and seek guidance when needed.
• Experience using AI coding agents to speed up software development while critically reviewing their output.
• Bonus: you’ve built agents or agent-based workflows that run in production, not just prototypes.

About the team

The functional team works across Europe and North America, supporting both synchronous and asynchronous collaboration. It includes four engineers, comprising both backend and frontend engineers. We work closely with other Source Code teams, Agentic Preview, Repository Services, and Hardening, as well as other teams in the company such as the Gitaly team, and the AI Governance team.

The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits.

Poland base salary range: 248,000zł - 372,000zł