Senior Growth Product Manager

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 Verkada's Growth team builds the products and AI systems that run our go-to-market engine. We build the real-time system that takes every inbound marketing signal, a trial signup, an event scan, a job change, and routes it to the right sales action. We're building the internal AI agent that's already changing how our sales and marketing teams work day to day. And, we're bringing that same energy to verkada.com: experimentation, personalization, better tools for the people building the site. We're looking for a Senior Growth Product Manager to own this whole portfolio. You're part mad scientist, part operator. Something in the data catches your eye, or you spot an AI capability worth building, or a channel that's suddenly outperforming everything else, and you can't help but want to build something around it. Then you ship it, measure it, and keep it running. It looks like an AI agent for GTM workflows that sales reps open every day, systems that clean and enrich account and contact data before it reaches a rep, and the real-time routing that kicks in the second a lead raises their hand. The products we build support hundreds of millions of dollars in pipeline. You'll report to our Senior Director of Growth Engineering and own roadmap execution and influence how the team runs. We are committed to a thriving in-office culture. This role requires that you be on-site at our HQ in San Mateo, CA 5 days a week.  What You’ll Do Spot Verkada's highest-leverage marketing and pipeline-generation channels and build net-new products around them from scratch. Sometimes that's an internal product that helps reps or marketers push a channel further. Sometimes it's something a customer or prospect touches directly. Own the roadmap for our go-to-market automation systems: account scoring, contact enrichment, outbound routing, and the real-time engine that routes every inbound signal to the right action. Track it against metrics that move revenue: pipeline conversion, sales velocity, win rate. Help build and scale our internal AI agent for go-to-market teams. Define what it should do next, partner with engineering to build it, and get sales, marketing, and other teams across the business using it. Bring growth engineering to verkada.com: experimentation, personalization, conversion optimization. Run the A/B tests yourself and build the tooling that lets marketers ship and measure their own ideas. Embed with Sales, Marketing, and other GTM teams to find bottlenecks yourself, not secondhand. Build the operating rhythm, planning cadence, and habits of a growing team. What You Bring 5+ years of product management experience, with a strong track record shipping AI or ML-driven products. You know what it feels like to stare at a blank page, run the experiment, and ship before you have certainty. Hands-on experience with LLMs and applied generative AI: real intuition for evaluation, prompt design, data pipelines, and the constraints of real-time inference, plus a genuine concern for AI quality and safety rather than treating it as an aftertho