Lead Product Manager, AI

Product ManagerProduct ManagerFull TimeRemoteTeam 1,001-5,000Since 2005Company SiteLinkedIn

Location

Arizona + 30 moreAll locations: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Iowa, Kentucky, Louisiana, Maine, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin

Posted

103 days ago

Salary

$120K - $180K / year

8 yrs expEnglish

Job Description

• Own and drive the end-to-end product vision, strategy, and execution for generative AI features and platforms across multiple content surfaces • Guide the prompt engineering lifecycle, from ideation and authoring to evaluation and iteration, with rigorous feedback loops and metrics • Lead cross-functional collaboration with backend and frontend engineering, design, data science, and ML operations (MLOps) to deliver high‑quality, scalable AI experiences • Define and manage quarterly roadmaps tailored to both internal platform enhancements and customer-facing capabilities, prioritizing based on business impact, user signal, and operational feasibility • Drive and evangelize best practices for LLM prompt ops, model governance, and responsible AI, balancing innovation with ethical constraints • Act as a domain expert in AI-powered content, guiding stakeholders through the evolving generative AI landscape (e.g., memory‑enabled agents, token management, multimodal signals) • Model and champion best practices in product management: actively share expertise, promote a culture of experimentation, and help embed rapid prototyping as a core approach to developing AI solutions

Job Requirements

  • 8+ years of product management experience, including 5+ years building AI/ML-driven products
  • Demonstrated success shipping AI, ML, or LLM-based products at scale, ideally in B2C, SaaS, media, or marketplace contexts
  • Deep familiarity with generative AI, LLMs, and prompt engineering, with hands-on experience guiding model evaluation and iteration
  • Proven expertise in A/B testing and large-scale experimentation, including statistical analysis and test design
  • Strong product sense and customer intuition, with a passion for building products people love
  • Skilled at data-driven decision-making, able to define metrics, analyze performance, and translate insights into action
  • Outstanding collaboration skills: experienced in influencing engineering, design, and data science partners without direct authority
  • Strategic thinker with a bias for action and comfort working in fast-moving, ambiguous AI landscapes

Benefits

  • Competitive salary
  • Bi-annual bonus
  • 401(k) plan with match
  • Equity in company
  • Flexible spending accounts (health, dependent care)
  • Internet and home office reimbursement
  • Medical, dental, and vision (optional plans for your family)
  • Life & long-term disability insurance (optional)
  • Mental health support and resources
  • Wellness reimbursement (gym, health apps, etc.)
  • Flexible PTO
  • Sick time policy
  • Observed holidays

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