AI Product Manager

Discovery & Research

Conduct interviews with law enforcement, emergency dispatchers, or legal clerks to identify pain points that can be solved via AI (e.g., automated transcription, predictive resource allocation, or evidence management).

Feature Definition

Translate user needs into clear PRDs (Product Requirement Documents), user stories, and technical specifications for engineering and data science teams.

Strategic Market Intelligence

• Conduct regular competitive analysis of key players in the Public Safety and Security market (e.g., Motorola Solutions, Axon, Mark43) to identify feature gaps and market opportunities.
• Perform “gap analysis” on competitor documentation and public APIs to inform our technical roadmap.

AI Trend Monitoring

• Stay at the forefront of AI breakthroughs, specifically monitoring advancements in Generative AI for casework, computer vision for weapon detection, and Drone as First Responder (DFR).
• Evaluate how new models (e.g., from OpenAI or Anthropic) can be integrated into public safety & Justice workflows responsibly.

Roadmap Support

Help prioritize the product backlog based on impact, technical feasibility, and the unique regulatory constraints of the justice system.

Responsibilities

• Identify user pain points through qualitative research with law‑enforcement stakeholders.
• Translate needs into product requirements, user stories, and technical specs.
• Conduct competitive and gap analyses to drive product roadmap decisions.
• Monitor AI trends and assess their applicability to public‑safety workflows.
• Prioritize backlog items in collaboration with engineering, data science, and regulatory teams.

Educational and Experience Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, or a related field.
• Experience: 3‑5 years delivering SaaS offerings; 1‑3 years working with Generative AI technologies.

Key Skills

• Technical Literacy: Foundational understanding of the ML lifecycle (data labeling, training, testing, and deployment).
• Analytical Mindset: Use data to justify product decisions and measure success through KPIs such as model accuracy and human‑in‑the‑loop efficiency.
• Communication: Synthesize complex technical trends into actionable business insights.
• Preferred: Knowledge of Public Safety and Justice markets (CAD/RMS systems, Case Management Systems, Body‑Worn Cameras, Digital Evidence Management).
• Experience with LLMs (Large Language Models) or Computer Vision.
• Knowledge of data privacy laws and ethical AI frameworks.

Benefits

Flexible hybrid model (2 days in office, 3 days remote) that supports collaboration and innovation.

#J-18808-Ljbffr…