Director of Product – Public Safety AI & Intelligence Solutions

Job Description

As the Director of Product, you will own the vision, strategy, and execution of our new, high-impact intelligence portfolio. You must be an AI-native thinker with deep technical awareness of data architecture, cross‑platform interoperability, and modern APIs. Crucially, you will lead the evolution from passive data tools to active automation by defining and deploying autonomous AI agents capable of executing complex knowledge work for public safety professionals.

Because the users range from Command Staff and Chiefs making macro decisions to active supervisors and frontline responders in high‑stress situations, a relentless focus on intuitive, mission‑critical user experience (UX) is paramount.

• Product Vision & Strategy
  :
  Own the end‑to‑end lifecycle of the new intelligence suite, positioning it as the premier alternative to market incumbents.
• AI Agent Orchestration
  :
  Define the functional frameworks, safety boundaries, and task‑flows for autonomous AI agents capable of automating deep knowledge work and multi‑system data synthesis.
• Cross‑Platform Data Integration
  :
  Define requirements for robust data bridges, APIs, and ingestion pipelines that unify data across legacy on‑premise infrastructure and modern cloud platforms.
• AI‑Native Implementation
  :
  Drive product workflows using advanced machine‑learning capabilities, including automated report summarization, natural‑language querying, entity resolution, and anomaly detection.
• Trust & Compliance Governance
  :
  Ensure all analytical models and AI agents adhere to CJIS requirements and rigorous data‑privacy boundaries, maintaining explicit “human‑in‑the‑loop” verification mechanisms.
• Agentic Knowledge Work
  :
  Understand how multi‑agent systems coordinate, break down multi‑step tasks, self‑correct, and navigate permissions to execute research for human users.
• Data Bridging
  :
  Know ETL/ELT pipelines, webhook‑driven events, and API constraints, and query unstructured data from legacy databases as smoothly as modern cloud feeds.
• Semantic Ontologies
  :
  View complex data through the lens of semantic ontologies or graph databases to map relationships dynamically across platforms.
• Model Constraints
  :
  Design features that mitigate hallucinations, ensure strict audit logging, and optimize low‑latency edge inference.

• 10+ years of product management or solution leadership experience in complex data analytics, enterprise SaaS, or intelligence platforms.
• Strong Technical Literacy
  :
  Proven experience managing products requiring cross‑platform data integration, API ecosystems, or federated search.
• AI/ML Fluency
  :
  Technical comfort with modern AI frameworks, large‑language‑model or large‑modal engineering, agentic workflows, or graph databases.
• User‑Centric Mindset
  : A track record of working with UX/UI design teams to simplify complex data layers into clean, high‑adoption interfaces.
• Direct experience building software for the Public Safety / Government sector.
• (Highly Desired) Familiarity with the technical architecture of public safety data systems:
  Computer‑Aided Dispatch (CAD), Records Management Systems (RMS), Automated License Plate Readers (ALPR), and Real‑Time Crime Centers (RTCC).

$170,000 – $200,000 USD. Pay within this range varies and depends on job‑related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

• 10+ years of product management or solution leadership experience in complex data analytics, enterprise SaaS, or intelligence platforms.
• Legal authorization to work in the U.S. indefinitely.
• Travel requirements under 10%.

Medical, Dental, Vision benefits; 401K with company match; 10 paid holidays; generous paid time off; employee stock purchase plan; paid parental & family leave; incentive bonus plans; and more.

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally protected characteristic.