Backed by Pear VC.
About the role
In person, NYC. We work together in the New York City area, with hybrid flexibility. We believe the most effective and fun way to build a company is in a room together. In the field. Everyone on the team spends time with customers. Expect some travel to customer sites to watch officers use what you built, then fix what's wrong.
What they're looking for
- Genuine fluency and excitement for modern AI coding tools (Claude Code, Cursor, Copilot, etc.) — you already build with them daily and want to stay ahead of how fast the landscape moves
- Solid CS fundamentals and a track record of shipping working software — internships, coursework, personal projects, or open source all count, production experience isn't required
- Fast learner: you can go from an unfamiliar codebase or problem to a working solution with light guidance
- Strong written and verbal communication skills
- Curiosity and initiative — you go find the answer rather than wait to be handed one
- Comfortable with ambiguity and confident asking good questions
More about this role
You'll be one of our first engineering hires, working directly with our co-founders to build the product from the ground up — and to shape the architecture, engineering practices, and product direction as we grow.
The work spans a modern AI product: a mobile app police officers use in the field; the AI pipeline that turns voice, photos, and notes into report-ready output; a laptop agent that fills report forms; and infrastructure secure enough for law enforcement data.
This role is an apprenticeship in building and thinking like an engineer at the frontier of AI-driven development. You'll work shoulder-to-shoulder with our staff and senior engineers, absorb how they make architecture and product calls, and take on real ownership fast as you prove you're ready for it.
In person, NYC. We work together in the New York City area, with hybrid flexibility. We believe the most effective and fun way to build a company is in a room together.
In the field. Everyone on the team spends time with customers. Expect some travel to customer sites to watch officers use what you built, then fix what's wrong.
AI-native. The founding team ships with AI tools every day. We expect the same fluency in...
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