Director of Product – Public Safety AI & Intelligence Solutions

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in California, USA
Remote
170K-200K Annually
Expert/Leader
Hardware • Security • Software • Cybersecurity
The Role
Lead vision, strategy, and execution for an AI-first public safety intelligence product. Define autonomous AI agent workflows, data integration/APIs, semantic models, and CJIS-compliant governance. Drive UX, cross-platform ingestion, model-driven features (NLP, summarization, anomaly detection), and operationalize agentic knowledge work for chiefs, supervisors, and frontline responders.
Summary Generated by Built In
Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department Overview
Mission and Insights - We are building the next-generation intelligence layer for public safety. Data in law enforcement and emergency response is trapped in siloed legacy records systems, dispatch feeds, and video streams. Our team is developing a data orchestration and automation suite to break down these walls, creating unified, real-time operational context through an AI-first paradigm.
Job Description

As the Director of Product, you will own the vision, strategy, and execution of our new, high-impact intelligence portfolio. We need 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 your users will span from Command Staff and Chiefs making macro decisions, to active supervisors, down to frontline responders facing high-stress situations, a relentless focus on intuitive, mission-critical User Experience (UX) is paramount.

Key Responsibilities

  • 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 cleanly 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 strictly adhere to CJIS requirements and rigorous data privacy boundaries, maintaining explicit "human-in-the-loop" verification mechanisms.

Technical Awareness & The "AI-Native" Mindset
  • Agentic Knowledge Work: You know how multi-agent systems coordinate, break down multi-step tasks, self-correct, and navigate permissions to execute research for human users.

  • Data Bridging: You understand ETL/ELT pipelines, webhook-driven events, and API constraints, knowing how to query unstructured data from a 20-year-old database just as smoothly as a modern cloud feed.

  • Semantic Ontologies: You naturally look at complex data and think about how a semantic ontology or graph database can map relationships dynamically across separate platforms.

  • Model Constraints: You design features with an understanding of both the power and limitations of modern AI models (e.g., mitigating hallucinations, ensuring strict audit logging, and optimizing low-latency edge inference).

Qualifications & Experience
  • 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 that require complex cross-platform data integration, API ecosystems, or federated search.

  • AI/ML Fluency: Technical comfort with modern AI frameworks, LLM/LMM engineering, agentic workflows, or graph databases.

  • User-Centric Mindset: A strong track record of working with UX/UI design teams to simplify complex, heavy data layers into clean, high-adoption user interfaces.

  • Direct experience working within or 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). (Highly Desired)

Target Base Salary Range: $170,000 - $200,000 USD. 

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

#LI-RS1


Basic Requirements

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 is required. Employer work permit sponsorship is not available for this position.


Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
Yes

Our U.S. Benefits include:

  • Incentive Bonus Plans

  • Medical, Dental, Vision benefits

  • 401K with Company Match

  • 10 Paid Holidays

  • Generous Paid Time Off Packages

  • Employee Stock Purchase Plan

  • Paid Parental & Family Leave

  • and more!


EEO Statement

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. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

Skills Required

  • 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; employer will not sponsor work permits.
  • Proven experience managing complex cross-platform data integration, API ecosystems, ETL/ELT pipelines, or federated search.
  • AI/ML fluency with experience in LLM/LMM engineering, agentic workflows, or graph databases.
  • Track record working with UX/UI design teams to simplify complex data into high-adoption user interfaces.
  • Knowledge of CJIS requirements, data privacy boundaries, and human-in-the-loop verification for public safety systems.
  • Direct experience working within or building software for the Public Safety / Government sector.
  • Familiarity with public safety system architectures (CAD, RMS, ALPR, RTCC).
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The Company
21,000 Employees

What We Do

Motorola Solutions is a global technology company that provides mission-critical communications, video security, and command center software to help protect people, property, and places for public safety agencies and enterprises.

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