GitLab

Staff Forward Deployed Engineer

Vaga remota de Customer Experience com fit claro de localização do candidato.

PublicadaAdicionada recentemente

Países elegíveis1 país aceito

Sinal de senioridadeLead

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

Contribute production-quality code to GitLab’s product and adjacent systems.
Develop bug fixes, features, integrations, tooling, or performance improvements where strategic customer outcomes require direct engineering contribution.
Work within GitLab’s normal product and engineering processes, including issue discovery, MR creation, testing, review, documentation, and maintainability.
Influence Product and Engineering to ensure customer-driven solutions align with long-term product direction and do not become one-off customizations.
Translate field-discovered blockers into durable product improvements, reference architectures, documentation, or repeatable implementation patterns.

Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk.
Diagnose complex technical problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments.
Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, PS, and customer technical teams to drive end-to-end resolution.
Provide data-driven, trace-level, systems-level recommendations for improving GitLab usage, workflows, automation, and architecture.
Ensure FDE involvement creates durable outcomes rather than permanent dependency.

Drive adoption of GitLab Duo Agent Platform with strategic customers in governed, measurable, production-oriented ways.
Identify and resolve blockers to AI adoption, including governance, usage controls, auditability, security, compliance, operating model, workflow design, and integration gaps.
Develop customer-safe adoption patterns for agentic SDLC, AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery.
Partner with Product, Engineering, Field, and Customer Success to translate AI adoption learning into reusable guidance and product improvements.

Lead GitLab in creating industry-shaping technical narratives grounded in real customer experience and product reality.
Contribute to Well Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks.
Steward ideas from discovery through formulation, validation, amplification, and normalization across the company.
Partner with SA, CSA, Product, Engineering, Marketing, PMM, CSM, Support, and executive stakeholders to make thought leadership a company capability rather than an isolated team activity.

Staff-level experience building, operating, or improving complex production software systems.
Demonstrated ability to contribute to large, mature product codebases with high standards for testing, maintainability, performance, and security.
Strong Ruby/Rails or Go experience, with ability to contribute directly to GitLab’s product contribution surface.
Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns.
Deep understanding of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery.
Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations.
Ability to coordinate across Product, Engineering, Support, SRE, SA, CSA, CSM, Professional Services, and customer teams without formal authority.
Strong written communication skills, including the ability to produce technical narratives, architecture guidance, and reusable field/product assets.
Demonstrated judgment in distinguishing reusable product/platform work from customer-specific customization.

Direct experience with GitLab as a platform, including GitLab.com, Dedicated, or self-managed deployments.
Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, and observability tooling.
Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or CI runner behavior.
Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt/workflow design, or AI adoption in regulated enterprise environments.
Experience creating thought-leadership artifacts such as whitepapers, technical talks, architecture frameworks, RFCs, public technical writing, or internal strategy documents.
Background in performance engineering, SRE, platform engineering, infrastructure engineering, or distributed systems.
Experience working in open-source or highly asynchronous engineering environments.

Strategic customer adoption or retention risks stabilized.
Product bugs fixed or features contributed.
AI adoption blockers removed for strategic accounts.
Reusable implementation patterns created and handed off.
Well Architected Frameworks, whitepapers, webinars, or technical narratives produced or enabled.
Cross-functional customer challenges resolved without creating permanent FDE dependency.
Product, Engineering, Support, CSA, CSM, PS, and SA teams equipped with better guidance from field-discovered learning.
Increased adoption and effective usage of GitLab capabilities, especially GitLab Duo and Duo Agent Platform, in targeted accounts.