Ai Product Manager Jobs

About The Position

Requirements

• Typically 7+ years of professional experience in Product Management owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products.
• Typically 15+ years of overall varied technology experience.
• Deep familiarity with machine learning concepts and a track record of working closely with ML engineers, particularly in areas such as natural language understanding, semantic search, conversational AI, agentic workflows, and speech technologies.
• Understand the market of similar products such as Glean Agent Builder, Microsoft Workflows Agent, and Google Workspace Studio.
• Strong technical acumen, including previous experience as a software or ML engineer, enabling you to dive deep on system architecture, APIs, and infrastructure-level decisions.
• Proven success shipping enterprise-grade products to large user bases — including developing rollout strategies, customer feedback loops, and go-to-market coordination for features that scale to hundreds of thousands or millions of users.
• Exceptional written and verbal communication skills — from clear and structured memos to compelling product narratives.
• Sharp analytical and problem-solving abilities, with a demonstrated ability to simplify complexity, make decisions amid ambiguity, and use available data to drive clarity and outcomes.
• Demonstrated strength in cross-functional collaboration — aligning engineering, design, data science, marketing, and customer teams around a shared product vision.
• A balanced approach to strategy and execution: able to think long-term while consistently delivering high-impact work in the near term.
• You lead with both empathy and urgency.
• Startup DNA — you thrive in fast-paced environments, are energized by ambiguity, and naturally bring structure, prioritization, and momentum to everything you touch.

Nice To Haves

• Bonus points for having launched features that delivered measurable impact by solving real user problems with AI.
• Bonus points for communicating vision and outcomes through blog posts, talks, or webinars.

Responsibilities

• Guide the development of new employee experiences on the new Web surface.
• Partner closely with other PMs, ML, engineering, and UX to identify critical capabilities needed to ship delightful and performant AI-powered products.
• Translate ambiguous problems and user feedback into clear product specs and success metrics that guide engineering execution.
• Stay ahead of the curve on AI product trends and research, turning cutting-edge developments into strategic product bets and differentiated features.
• Build alignment across cross-functional partners by clearly communicating product vision, roadmaps, and outcomes.

Benefits

• health plans
• flexible spending accounts
• a 401(k) Plan with company match
• ESPP
• matching donations
• a flexible time away plan
• family leave programs