About this role
Mission-driven professionals who want their work to directly impact public safety and community outcomes will find a meaningful challenge in this position. The team at NICE builds ethical machine learning applications designed specifically for first responders, 911 dispatch personnel, legal professionals, and justice stakeholders. As an AI Product Manager, the selected candidate will connect advanced technical capabilities with real-world operational needs to improve emergency response times and streamline judicial workflows. Success in this role requires translating complex user feedback into clear requirements while navigating the unique regulatory constraints of the public sector.
The role exists to ensure that artificial intelligence is deployed responsibly and effectively in environments where timely information matters most. Daily efforts will involve conducting user research with law enforcement and emergency dispatchers, translating those findings into product requirement documents, and monitoring market intelligence across competitors like Motorola Solutions and Axon. Candidates who thrive here are analytical thinkers capable of leveraging data to justify product decisions, monitor generative AI breakthroughs, and prioritize engineering backlogs based on measurable impact.
What you will do
- Conduct interviews with emergency dispatchers, law enforcement, and legal clerks to uncover operational pain points addressable through artificial intelligence.
- Translate user needs into precise product requirement documents, technical specifications, and user stories for engineering and data science teams.
- Perform competitive analysis and gap evaluations on market rivals to inform the technical roadmap and identify strategic opportunities.
- Monitor advancements in generative AI, computer vision, and drone programs to evaluate how new models integrate into justice workflows responsibly.
- Prioritize the product backlog by weighing technical feasibility, impact, and the strict regulatory constraints of the public safety sector.
What you need
- Hold a bachelor's degree in computer science, data science, or a related technical discipline.
- Demonstrate three to five years of experience delivering Software-as-a-Service offerings to market.
- Bring one to three years of direct experience working with generative artificial intelligence technologies.
- Possess a foundational understanding of the machine learning lifecycle including data labeling, training, testing, and deployment.
- Apply an analytical mindset to use data for product decisions and measure success through key performance indicators.
- Communicate complex technical trends clearly into actionable business insights.
Nice to have
- Understanding of the Public Safety and Justice markets such as CAD/RMS systems and Digital Evidence Management.
- Experience working with Large Language Models or computer vision technologies.
- Knowledge of data privacy laws and ethical artificial intelligence frameworks.
Skills and tech stack
Questions candidates ask
What kind of products will I be working on?
You will help build ethical, high-impact AI solutions for the Public Safety and Justice sector. This includes defining products that improve emergency response times, streamline judicial workflows, and ensure AI is deployed responsibly.
What specific market research will be expected?
You will conduct regular competitive analysis of key players in the Public Safety and Security market like Motorola Solutions, Axon, and Mark43 to identify feature gaps. This includes performing gap analysis on competitor documentation and public APIs to inform the technical roadmap.
What AI domains and technologies will I monitor?
You will stay at the forefront of AI breakthroughs by monitoring advancements in Generative AI for casework, computer vision for weapon detection, and Drone as First Responder programs. Additionally, you will evaluate how new models from providers like OpenAI or Anthropic can be integrated responsibly.