The posting, in Verkada's own words
archived Sep 4, 2026Who 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 Marketing Analytics and Data Science team is looking for a strategic analytics leader to play an integral role in leveraging our data and technology to help our marketing team run better, faster, and smarter. This role operates like an internal strategy consultant, using data to diagnose performance, uncover growth opportunities, evaluate ROI, and turn ambiguous business questions into clear recommendations. Our team works AI-first, using tools like Claude Code alongside SQL, dbt, and Looker to accelerate analysis, automate workflows, and build internal tools. This role reports to our Senior Manager of Data Science and Analytics. We are committed to a thriving in-office culture. This role requires that you be on-site at our HQ in San Mateo 5 days a week.
Read the full posting ↓
What You'll Do
Analyze campaign, channel, segment, and funnel performance to identify growth opportunities and performance drivers. Evaluate marketing ROI and help inform where we invest time and budget. Turn ambiguous business questions into structured analyses, recommendations, and clear next steps. Build forecasts, targets, business cases, and measurement frameworks. Independently analyze large datasets and test hypotheses. Partner with leadership to define KPIs and influence strategic decisions. Build scalable analytics, automation, and AI-powered tools that help teams move faster. Communicate complex findings clearly to technical and non-technical audiences.