Senior Engineering Manager, Non-Linear Productivity

at GitLab
📍 World
📍 Canada
📍 United Kingdom
📍 Ireland
📍 United States
USD 190,000-245,000 per year
SENIOR
✅ Remote

Used Tools & Technologies

Not specified

Required Skills & Competences

CI/CD @ 4 Hiring @ 4 Leadership @ 4 Communication @ 7 Reporting @ 4 AI @ 4

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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