Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
CI/CD @ 4
Hiring @ 4
Leadership @ 4
Communication @ 7
Reporting @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
GitLab is the intelligent orchestration platform for DevSecOps used by millions and more than half of the Fortune 100. The team embraces AI as a core productivity multiplier and values a high-performance, metrics-driven culture.
This role reports to a VP-level engineering leader and owns outcomes for a defined engineering domain. The Senior Engineering Manager will build and lead a small, hand-picked 0-to-1 pilot squad focused on removing the highest-leverage friction in GitLab's SDLC to drive non-linear improvements in system-level metrics (MRPM, pipeline success rate, pipeline latency).
Responsibilities
- Define and continuously refine the operating model for the non-linear productivity pilot: define "friction", diagnose it, and prioritize fixes against the three system-level metrics.
- Identify and prioritize step-change opportunities across the SDLC (e.g., flaky tests, review latency, pipeline reliability, tooling gaps, context loss for human and agent contributors).
- Translate a broad ambiguous mandate into a concrete, time-boxed roadmap with milestones for a 3-month pilot window.
- Personally source, evaluate, and hire 4 exceptional engineers for the pilot squad and negotiate allocation models with affected engineering managers.
- Set technical direction and working norms for a small, fast-moving team; scope work, make decisions, and report progress.
- Mentor engineers on root-cause diagnosis and shift-left thinking; raise the bar for rigor versus tactical patches.
- Lead hands-on investigation to instrument and baseline MRPM, pipeline success rate, and pipeline latency before proposing fixes.
- Diagnose high-leverage friction points using real data and validate hypotheses before committing team time to fixes.
- Design and implement compounding fixes (shift-left quality changes, tooling investments, better context/interfaces for humans and agents) rather than one-off patches.
- Stay hands-on to review architecture, dig into pipeline internals, and unblock the team on hard technical problems.
- Drive adoption of fixes with affected engineering teams and ensure fixes are trusted and durable (not reverted or worked around).
- Track and report metric movement honestly, including failures, and capture reusable patterns and playbooks for org-wide adoption.
- Set cadence for reporting impact to EM peers and leadership, and ensure pilot fixes degrade gracefully without introducing new CI/CD reliability risks.
- Help define graduation criteria from pilot to permanent function and build the business case (or counter-case) based on results.
Requirements
General qualifications:
- Proven track record leading small, high-autonomy engineering teams, ideally in developer productivity, CI/CD, platform, or infrastructure reliability, measured on system-level outcomes rather than feature delivery.
- Deep comfort with CI/CD and build systems; understanding of why pipelines flake, why they're slow, and what actually impacts success-rate and latency numbers.
- Demonstrated root-cause diagnostic instincts and a talent-over-headcount hiring philosophy.
- Comfortable operating under metrics-driven accountability, including publicly baselining numbers and reporting honestly.
- Strong executive-level communication; this pilot has direct visibility to engineering leadership.
Nice to have:
- Experience with agentic or AI-assisted development workflows and insight into human/agent friction differences.
- Prior experience running a defined-window pilot or 0-to-1 initiative with explicit success criteria.
- Familiarity with GitLab's CI/CD internals or equivalent depth on another large-scale build/test system.
Other details:
- You will personally recruit and mentor the pilot engineers, negotiate allocation with their current managers, and stay technically involved to remove blockers and validate fixes.
- The role emphasizes system-level metrics (MRPM, pipeline success rate, pipeline latency) as the measure of success.
Compensation (United States)
- Base salary range for US residents: $190,000 - $245,000 USD (base salary only; does not include bonuses, equity, or benefits).
Benefits
- Health, financial, and well-being benefits
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
Other information
- This role is remote and GitLab hires new team members in countries around the world; some roles may carry location-based eligibility requirements.
- GitLab is an equal opportunity employer and provides accommodations during the recruiting process upon request.
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