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Engineering Manager, SSCS: AI Governance

4 hours, 11 minutes ago
India
Full-time
Senior
Engineering Manager
Software Development
LLM Microservices
Apply Now
GitLab

GitLab

GitLab: The comprehensive DevOps platform revolutionizing software development with automation, AI workflows, and essential tools for efficient collaboration.

Internet Software & Services
1K-5K
Founded 2014
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Description

  • Lead and grow the AI Governance engineering team while building a high-performing organization that delivers roadmap commitments on schedule.
  • Own delivery planning and execution for the AI Governance roadmap, including audit events, registry and policy controls, and governance reporting.
  • Partner with Talent Acquisition to run hiring processes and attract backend engineering talent across levels.
  • Work with Product, Design, and peer engineering leaders to prioritize work, plan capacity, and align on scope and sequencing.
  • Collaborate with the Duo Agent Platform team and adjacent teams to deliver reliable cross-platform systems and reduce production integration issues.
  • Develop engineers through regular 1:1s, performance feedback, and career development conversations.
  • Drive engineering quality through strong testing practices, sound architecture, and a steady delivery cadence.
  • Represent the team in stage planning and leadership reviews by communicating progress, risks, and tradeoffs.

Requirements

  • 3+ years of experience leading backend product engineering teams in security, compliance, observability, or AI-related systems.
  • Technical knowledge of audit systems, event streaming, policy enforcement, or compliance tooling.
  • Track record of hiring, developing, and supporting engineers across multiple levels.
  • Comfort working in an asynchronous, documentation-focused organization across multiple time zones.
  • Ability to manage cross-functional work involving Product, Design, Legal, and adjacent engineering teams.
  • Familiarity with compliance, audit, or governance products serving regulated organizations.
  • Understanding of AI agent infrastructure, large language model orchestration, or Model Context Protocol tooling.
  • Ability to recognize transferable experience across enterprise software, distributed systems, or regulated product environments.
  • Experience working in an all-remote environment is preferred.

Benefits

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

Interested in this position?

Apply directly on the company website

Apply Now

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