About the role
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
As a member of our Business Systems Engineering team, you will build or improve tools that are used daily by Go to Market teams. Our goal is to find bottlenecks and friction points, and drive process improvements as well as come up with technical solutions. Our team is the custodian of data that is used by sales, order, finance, support teams. We emphasize automation over operation, metrics over anecdotes, iteration over perfection and being proactive over responsive.
We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA.
What You'll Do
- Engineer and maintain platforms and data pipelines that read, mutate and write data at scale.
- Determine architecture for systems that deal with multiple external vendors as well as internal systems.
- Collaborate with different GTM teams and advise on the right engineering solution to business problems.
- Improve operational excellence on existing systems.
- Contribute to the long term roadmap on keeping GTM data quality high.
- Use LLMs to help evaluate data state and create artifacts for users to quickly consume data.
What You Bring
- Bachelor's or Master's degree in Computer Science or a related technical field.