Mission-Driven AI Product Manager — Public Safety

nice

Atlanta (GA)

On-site

USD 110,000 - 170,000

Full time

8 days ago
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Job summary

NiCE is seeking a mission-driven AI Product Manager to build ethical, high-impact AI solutions for Public Safety and Justice. You will bridge ML capabilities with real-world needs of first responders, dispatchers, and legal professionals, defining products to improve emergency response and streamline judicial workflows.

You will evaluate AI models and partner with engineering to prioritize a responsible roadmap within regulatory constraints, driving measurable KPIs across the product lifecycle.

Qualifications

  • 3–5 years delivering SaaS offerings to market.
  • 1–3 years working with Generative AI technologies.
  • Foundational understanding of the ML lifecycle (data labeling, training, testing, deployment).
  • Analytical mindset: using data to justify product decisions and measure KPIs.
  • Excellent ability to synthesize complex technical trends into actionable business insights.

Responsibilities

  • Conduct discovery interviews with public safety and legal stakeholders to identify AI-enabled improvements.
  • Define product requirements, user stories, and specs for engineering and data science teams.
  • Perform competitive analysis to identify feature gaps and market opportunities.
  • Monitor AI trends and assess integration of new models into workflows responsibly.
  • Prioritize the product backlog based on impact, feasibility, and regulatory constraints.

Skills

SaaS product delivery
Generative AI
ML lifecycle
Data-driven decisions
Communication

Education

Bachelors in CS/Data Science

Job description

NiCE is seeking a mission-driven AI Product Manager to build ethical, high-impact AI solutions for Public Safety and Justice. You will bridge ML capabilities with real-world needs of first responders, dispatchers, and legal professionals, defining products to improve emergency response and streamline judicial workflows.

You will evaluate AI models and partner with engineering to prioritize a responsible roadmap within regulatory constraints, driving measurable KPIs across the product lifecycle.

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