B

Benchmark Analytics

Product Owner

Full-TimeUpdated on 10/28/2026
$140k - $175k/yr
Senior
Bachelor's
Remote in USA+1 moreMore locations: Chicago, IL, USA
RemoteUnited States (remote) / Chicago, Illinois, United States (remote): Must be based in the U.S. and willing to work in the Central Time Zone.
ProductProduct Management
No H1B Sponsorship

About the job

Requirements
  • At least 5 years of professional experience in product management, technical product management, engineering, design, or another role involving ownership of both the what and how of a product or technical surface.
  • Demonstrated ability to produce engineering-ready specifications, including visual designs, user flows, data requirements, and acceptance criteria that engineers can build from directly.
  • Daily use of AI tools in professional work and ability to demonstrate how AI-assisted workflows accelerate output and improve work quality.
  • Strong written and verbal communication, including the ability to write documents engineers can build from and explain roadmaps to customers or stakeholders.
  • Experience partnering directly with engineering teams in an agile or continuous-delivery environment.
  • Strong analytical and quantitative skills, including using evidence, tradeoffs, and measurable outcomes to frame problems, evaluate options, and support decisions.
  • Ability to synthesize customer feedback, user research, internal expertise, data, and competitive context into product direction and actionable plans.
  • Comfort making decisions with incomplete information and available data.
  • Bachelor’s degree or equivalent professional experience working in a software development environment.
  • Proactively identifies problems and opportunities without waiting to be asked.
Responsibilities
  • Own a defined product surface end to end, deciding what gets built, when it ships, and how it serves users or consuming teams, with accountability for scope, priority, and quality.
  • Produce engineering-ready specifications for features, including user flows, visual designs, data requirements, edge cases, and acceptance criteria; use AI tools as a core workflow and provide engineering with clear build specifications.
  • Make product priority decisions, decide which requests enter the roadmap, and communicate the reasoning transparently.
  • Maintain customer fluency through direct engagement, user research, and ongoing relationship-building with law enforcement practitioners, agency administrators, internal platform consumers, or data science teams.
  • Conduct or commission user research, including interviews, usability testing, workflow observation, and product analytics review, and engage internal subject matter experts to ground decisions in evidence.
  • Partner directly with the engineering pair as a trio, providing clarity on what to build and why while collaborating on feasibility and implementation approach.
  • Own post-launch adoption and feedback by promoting capabilities, training internal teams, tracking adoption, gathering feedback, maintaining documentation, and iterating based on real-world usage.
  • Support enterprise sales conversations with substantive product and domain knowledge.
  • Use AI tools and technologies for research, specification, design, analysis, prototyping, and documentation.
Desired Qualifications
  • Experience with formal user research methods, including interviews, usability testing, workflow observation, and product analytics.
  • Experience in law enforcement, public safety, or government technology domains.
  • Experience with products serving regulated industries or specialized professional audiences where domain credibility matters.
  • Strong visual and interaction design skills, including designing clear information displays and workflows.
  • Technical fluency to participate in architecture conversations, including understanding tradeoffs in data models, API design, and system integration.
  • Experience taking a product from zero to one rather than only iterating on an established product.
  • Experience with cloud platforms, preferably AWS, modern web development stacks, and continuous integration/continuous delivery practices.
  • Experience working in an early- to growth-stage startup environment.

About the company

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