Engineering Manager, Agentic Workflows

Who We Are

Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.

We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.

You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries.

About the Role

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.

What You'll Do

- 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

What You Bring

- 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