Product Owner

The Role:

We are looking for a Product Owner who will take full ownership of a defined product surface within our platform — whether that is shared infrastructure, a new product being built from scratch, a specialized law enforcement workflow, or a data-driven analytics experience. You will work as a trio alongside a lead engineer and a junior engineer, using our AI-augmented software development lifecycle to deliver at a pace that traditionally required much larger teams. This is not a traditional product manager role: you own scope, priority, and delivery accountability in one seat, and you produce complete, engineering-ready specifications that your engineering pair can build from directly.

Responsibilities:

• Own your product surface end to end — deciding what gets built, when it ships, and how it serves your users or consuming teams, with full accountability for scope, priority, and quality
• Produce engineering-ready specifications for all features — complete user flows, visual designs, data requirements, edge cases, and acceptance criteria — using AI tools as a core part of your workflow; engineering builds from your specifications directly, without ambiguity about what the experience should be
• Make priority decisions and defend them — customer success, sales, and leadership will bring you requests; you decide which enter the roadmap and which don’t, with clear reasoning and transparent communication
• Maintain deep fluency with your customers — whether they are law enforcement practitioners, agency administrators, internal platform consumers, or data science teams — through direct engagement, user research, and ongoing relationship-building
• Conduct or commission user research as needed — interviews, usability testing, workflow observation, product analytics review — and engage internal subject matter experts to ground product decisions in direct evidence rather than assumptions
• Partner directly with your engineering pair as a trio; bring clarity on what to build and why while they bring clarity on how to build it and what is feasible
• Own post-launch adoption and feedback — evangelize new capabilities, train internal teams, track feature adoption, gather user feedback, maintain documentation, and iterate based on real-world usage rather than handing off after launch
• Support enterprise sales conversations with substantive product and domain knowledge when needed — not just feature lists, but the depth that builds customer confidence
• Leverage AI tools and technologies across all aspects of your work — research, specification, design, analysis, prototyping, and documentation

Requirements:

• 5+ years of professional experience in product management, technical product management, engineering, design, or another role where you owned both the what and the how of a product or technical surface
• Demonstrated ability to produce engineering-ready specifications — not just PRDs or user stories, but complete specifications including visual designs, user flows, data requirements, and acceptance criteria that engineering can build from directly
• Fluency with AI-assisted workflows; you already use AI tools daily in your professional work and can demonstrate how they accelerate your output and raise the quality of your work
• Strong written and verbal communication; you write clearly enough that engineers can build from your documents and customers or stakeholders can understand your roadmap
• Experience working directly with engineering teams in an agile or continuous-delivery environment as a genuine partner, not just a requirements source
• Strong analytical and quantitative skills — you think in terms of evidence, tradeoffs, and measurable outcomes; you use data to frame problems, evaluate options, and build the case for decisions
• Ability to synthesize information from multiple sources — customer feedback, user research, internal expertise, data, competitive context — into clear product direction and actionable plans
• Comfort with ambiguity and incomplete information; you make decisions with the data available rather than waiting for certainty
• Bachelor’s degree or equivalent professional experience working in a software development environment
• Intellectually curious self-starter who proactively identifies problems and opportunities without waiting to be asked

Preferred Qualifications:

• Experience with formal user research methods — interviews, usability testin…