Senior Product Engineer

Role overview

Build an AI-supported investigation platform for digital forensics and incident response teams. Work directly with analysts and responders to find investigation bottlenecks, shape product decisions, and ship features from discovery through production, with ownership continuing until the software works well for its intended users.

Responsibilities - Design interfaces that let analysts direct AI agents, review their results, and trace findings back to supporting evidence. - Observe investigative work to identify bottlenecks and prioritize valuable problems; test ideas with working prototypes. - Translate experienced responders’ methods into agent tools and workflows, partnering with platform engineers on underlying capabilities. - Instrument shipped features and use usage data to assess outcomes and inform future work. - Shape the roadmap for owned product areas with product management and engineering leadership.

Requirements - Experience owning product features from identifying a user problem through production, and evaluating how people use the result. - Full-stack engineering strength across modern web interfaces and backend services, including Go or Python. - Experience building products with large language models, including tool use, structured outputs, and interfaces for reviewing and correcting agent results. - Familiarity with AI system failure modes and ways to design for them. - Regular use of coding agents, with the ability to review and verify generated work. - Ability to design clear interfaces for dense technical information, query large datasets, and explain trade-offs to technical and business audiences.

Nice to have - Background in security products, digital forensics, incident response, or security telemetry. - Experience building tools for expert users in fields such as law, healthcare, or finance. - Early-stage engineering or founder experience taking a product from inception to initial users.