Principal Inbound Product Manager, AI Assistant (Core ML) - MoveWorks

The Team: Moveworks Business Unit At Moveworks, we’re building the most advanced enterprise AI platform in the world — combining generative LLMs, agentic reasoning, enterprise search, and natural conversation into one cohesive product experience. As a Staff Product Manager, you’ll play a key role in shaping the future of our AI Assistant, used by millions of employees around the world.  Our mission is to win the Front Door by being a daily assistant for all employees.  As a Principal Product Manager, you will co-develop some of the most advanced agentic reasoning architecture and machine learning experiences in the enterprise.  What You Will Do: Co-lead the development of advanced reasoning architectures, ship model improvements, and design agentic experiences to improve daily usage of the AI Assistant. 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 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. To be successful in this role you have: End-to-end product management experience (7+ years) owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products. Bonus points for having launched features that delivered measurable impact by solving real user problems with AI. Typically bring 15+ years of overall diverse technical 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. Understanding of real-time ML performance requirements (e.g., latency, accuracy, relevance) and the ability to make informed tradeoffs to optimize for user experience and business goals. Strong technical acumen, including previous experience as a software or ML engineer, or a technical degree (B.S. or M.S. in CS or related field), 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. Bonus points for communicating vision and outcomes through blog posts, talks, or webinars. 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. For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as ... (truncated, view full listing at source)