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Engineering Manager, Agentic Workflows

Verkada - San Mateo, CA, United States

Engineer Verified Jun 15, 2026 Source: verkada.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Pay Range $200,000 - $350,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer,

Responsibilities

  • We are looking for an Engineering Manager to lead a new team focused on building AI agents that improve engineering velocity, reliability, and developer experience across the company.
  • This team will operate with a 0→1 charter inside our Infrastructure / DevX organization, developing agentic systems that automate workflows such as CI failure triage, autonomous deployments, incident response, and proactive bug detection. The work will have a broad impact across all engineering teams by reducing toil and enabling faster iteration.
  • This role is both strategic and hands-on: you will define the roadmap, build and grow the team, and actively contribute to prototyping and development.
  • Make every engineer more productive by eliminating repetitive workflows through AI agents
  • Define and own the agent roadmap: what to automate, in what order, and how to measure success
  • Build and lead a small, high-impact team of engineers
  • Contribute hands-on to prototyping, coding, and unblocking technical challenges
  • Establish evaluation frameworks for agent performance (golden tasks, regression sets, replay, LLM-as-judge)
  • Partner closely with Infrastructure, Security, and DevX teams to integrate agents into core workflows
  • Drive high engineering standards through design docs, RFCs, and strong execution

Qualifications

  • 7+ years of software engineering experience, with 2+ years in engineering management
  • Proven experience shipping production systems, including agentic or automation-heavy workflows
  • Strong hands-on coding ability in Python, Go, or TypeScript
  • Experience building systems that interact with APIs, tools, and external services (not just prompt-based interfaces)
  • Demonstrated ability to define metrics and evaluate system performance rigorously
  • Experience writing clear technical design documents and driving alignment
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