Principal Product Manager, Search Platform

<h3>Principal Product Manager, Search Platform</h3> <p>Location: In Office - Mountain View, CA</p> <p><br>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.<br>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.</p> <p> </p> <p><strong>What You Will Do:</strong></p> <ul> <li>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.</li> <li>Partner closely with other PMs, ML, engineering, and UX to identify critical platform needs to ship delightful and performant AI-powered products.</li> <li>Translate ambiguous problems and user feedback into clear product specs and success metrics that guide engineering execution.</li> <li>Stay ahead of the curve on AI trends and research, turning cutting-edge developments into strategic product bets and differentiated features.</li> <li>Develop scalable platform capabilities to power internal teams and customer-facing applications alike.</li> <li>Build alignment across cross-functional partners by clearly communicating product vision, roadmaps, and outcomes.</li> </ul> <p> </p> <p><strong>What You Bring to the Table:</strong></p> <ul> <li>End-to-end product management experience (5+ 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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>Exceptional written and verbal communication skills — from clear and structured PRDs to compelling product narratives. Bonus points for communicating vision and outcomes through blog posts, talks, or webinars.</li> <li>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.</li> <li>Demonstrated strength in cross-functional collaboration — aligning engineering, design, data science, marketing, and customer teams around a shared product vision.</li> <li>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.</li> <li>Startup DNA — you thrive in fast-paced environments, are energized by ambiguity, and naturally bring structure, prioritization, and momentum to everything you touch.</li> </ul><div class="content-conclusion"><p>*Our compensation package includes a market competitive salary, equity for all full tim ... (truncated, view full listing at source)