About the job
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 Principal Product Manager, you’ll play a key role in shaping the future of our Enterprise Search product and search platform. This is a high-impact role for a technical and strategic product manager who can partner cross-functionally to build foundational capabilities that solve real business problems with AI.
Responsibilities
Lead the development of search platform and infrastructure that enables Moveworks Search to scale to billions of documents, while building advanced capabilities for evaluating product performance and search quality.
Partner closely with other PMs, ML, engineering, and UX to identify critical platform needs 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.
Develop scalable platform capabilities to power internal teams and customer-facing applications alike. Build alignment across cross-functional partners by clearly communicating product vision, roadmaps, and outcomes.
Qualifications
Minimum
End-to-end product management experience (typically 15+ years overall) owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products.
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 PRDs 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.
Preferred
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.