Engineering Manager, Trusted Agentic Development at Gitlab

Engineering Manager, Trusted Agentic Development

Gitlab · Remote, PolandRemotolead

En corto

▸Liderar un equipo que construye herramientas para validar código generado por agentes de IA en GitLab.
▸Enfocarse en hacer que los agentes confiables produzcan software funcional, no solo pruebas que pasan.
▸El equipo tiene libertad para explorar soluciones técnicas en lenguajes como Rust, Ruby y Go, con enfoque en confianza y adopción real.

Proficiency in English is required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Experiencia liderando equipos de ingeniería en entornos de desarrollo de software.
✓Conocimiento profundo de sistemas de CI/CD y pipelines de integración continua.
✓Capacidad para definir dirección técnica en espacios no definidos o emergentes.
✓Habilidades sólidas de comunicación y colaboración con equipos de ingeniería distribuidos.
✓Experiencia con desarrollo de software con IA o agentes, especialmente en entornos de DevSecOps.
✓Enfoque orientado a resultados, con capacidad para medir adopción y confianza de ingenieros.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

GitLabRustRubyGoCI/CDDevSecOpsAI agentsValidation frameworksFeedback loopsOpen-source

¿A quién escribirle en Gitlab?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Trusted Agentic Development team sits within GitLab's Developer Experience group and builds the platforms our own engineers rely on every day. GitLab engineers increasingly build software with artificial intelligence (AI) agents. Agents generate code and tests in seconds, so speed is no longer the constraint. Confidence is. Agents can produce a passing test suite for software that doesn't work as intended, and a reviewer may not be able to tell the difference without redoing the work by hand. As Engineering Manager, Trusted Agentic Development, you'll build and lead the team that closes this gap. You'll help define what validation means when the author is an agent and make the feedback loop fast, automatic, and trustworthy. You'll point the team at the right version of an open problem and earn adoption across GitLab by building the best path, not by mandating a process. • Validation that confirms agent-generated code does what was intended, so a passing suite means a working feature and not just a satisfied proxy. • Mid-loop feedback that helps an agent self-correct toward working software instead of green assertions. • Language-aware approaches under one shared model of what "trusted" means, starting with Rust, Ruby, and Go, while allowing the right technique to differ by language. • Real measurement of whether engineers trust and adopt the path, with findings fed directly back into the platform. What you'll do • Build and grow the team by hiring and developing engineers who practice agentic development, and create a culture that treats this as an open problem to solve rather than a process to enforce. • Set direction in an undefined space by partnering with your team to shape the technical approach for validating agent-built software. • Keep the team focused on the highest-impact version of the problem rather than the easiest one. • Earn adoption by building relationships with engineering teams across GitLab, learning how they work with agents today, and creating a platform they choose because it makes them faster and more confident. • Measure engineer adoption and trust through real usage, treat adopters as design partners, and use findings to prioritize where confidence is breaking down. • Stay close to the technical work by engagin

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