Backed by GTMfund.
About the role
Obvio's traffic studies team runs short, camera- and radar-based data studies that measure speeding, red-light, stop-sign and crosswalk behavior at specific locations in a city before any enforcement program starts. Cities rely on these results, so accuracy and timely delivery matter. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- An end-to-end owner: you prefer to be accountable for a whole system and its output rather than a single layer of it
- Pragmatic: you balance shipping fixes quickly with leaving the codebase in better shape than you found it
- Automation-minded: when you see a recurring manual step, your instinct is to design it out of the process
- Rigorous with data: you understand that an inaccurate count delivered to a city is a credibility problem, and you build for traceability and auditability from the start
- A clear communicator: you write things down, make requirements explicit before implementing them, and work well across engineering, annotation, operations and go-to-market teams
- Comfortable with ambiguity: priorities shift with customer needs, and you can re-plan without losing momentum
More about this role
Each year, more than 40,000 people in the U.S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are preventable. We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable, automating enforcement in ways that traditional systems cannot. Our approach has already led to a 50% reduction in reckless driving in early partner cities.
Founded by the team behind Motive's AI dashcam and backed by Bain Capital Ventures and Khosla Ventures, we are building the intelligence layer for safer streets globally.
Obvio's traffic studies team runs short, camera- and radar-based data studies that measure speeding, red-light, stop-sign and crosswalk behavior at specific locations in a city before any enforcement program starts. Cities rely on these results, so accuracy and timely delivery matter.
Today the pipeline works, but it scales with people rather than software. We are hiring a Full-Stack Engineer to change that. You will own the software that takes a study from field deployment to a published report, make the routine path repeatable and largely automated, and make ad-hoc requests (a new city, a new...
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