Remote Product Owner: End-to-End Ownership, AI Specs

Benchmark Analytics; USA; Remote; USD 100.000 - 160.000; Vollzeit

Benefits dieser Stelle

Remote-friendly US-based

Unlimited PTO

Summer Half-Day Fridays

401(k)

Zusammenfassung

Benchmark Analytics is seeking a Product Owner who will take full ownership of a defined product surface within our platform—whether shared infrastructure, a new product 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 AI-augmented software development lifecycles to deliver at pace.

Qualifikationen

• 5+ years of product management or related ownership roles.
• Engineering-ready specs including user flows, data needs, and edge cases.
• Fluency with AI-assisted workflows and daily use of AI tools.

Aufgaben

• Own product surface end to end with full accountability for scope and priority.
• Produce engineering-ready specifications for all features.
• Decide roadmap items with clear justification and transparent communication.
• Maintain deep fluency with customers across law enforcement, admin, and data science teams.
• Conduct or coordinate user research to ground decisions in evidence.
• Collaborate closely with engineering as a trio to ensure feasibility.
• Own post-launch adoption, training, and feedback loops.
• Support enterprise sales with product and domain knowledge.
• Leverage AI tools across research, design, analysis, and documentation.

Kenntnisse

Product ownership

AI workflows

Requirements gathering

Agile collaboration

Stakeholder communication

Ausbildung

Bachelor’s degree or equivalent

Tools

AI tools

Agile tools

Jobbeschreibung

Benchmark Analytics is seeking a Product Owner who will take full ownership of a defined product surface within our platform—whether shared infrastructure, a new product 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 AI-augmented software development lifecycles to deliver at pace.