AI Product Manager Job Description Template (2026)

Product Senior

What does a AI Product Manager do?

An AI Product Manager guides the development of artificial intelligence products, acting as the translator between business goals and machine learning engineering to deliver valuable, ethical, and user-centric AI solutions.

Key Responsibilities

  • Define the product vision, strategy, and roadmap for AI/ML-powered features
  • Translate complex business problems into clear machine learning objectives
  • Collaborate with data scientists, ML engineers, and UX designers
  • Define and monitor AI-specific success metrics (precision, recall, latency)
  • Manage the lifecycle of AI models from data collection to deployment
  • Ensure AI products adhere to ethical guidelines and privacy regulations

Required Skills & Qualifications

  • Strong traditional product management experience (Agile, roadmapping)
  • Solid foundational understanding of AI/ML concepts and capabilities
  • Experience bridging the gap between technical teams and business stakeholders
  • Excellent data literacy and analytical skills
  • Familiarity with data privacy laws (GDPR, CCPA)
  • Exceptional communication and leadership abilities

Preferred Qualifications (Nice to Have)

  • Background in Data Science or Software Engineering
  • Experience taking an AI product from 0 to 1
  • Familiarity with MLOps lifecycles
  • Knowledge of AI safety, bias mitigation, and model explainability
  • Experience conducting user research for non-deterministic products
  • Strong UX/UI sensibilities

Tech Stack & Tools

JiraConfluencePython (Basic)SQLTableauFigmaMixpanelSlackMicrosoft OfficeMiro

Compensation & Benefits

  • Salary Range: $110,000 - $175,000
  • Work Setup: Remote, Hybrid, On-site
  • Comprehensive Health, Vision, and Dental insurance.
  • 401(k) matching and unlimited PTO.

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