Principal Product Manager, Platform

Location: In Office- Mountain View, CA

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 take a leading role in shaping our AI capabilities in one of our core product areas: Search, Agentic AI Assistants and Platform.

This is a high-impact role for a technical and strategic product leader who can partner cross-functionally to build foundational capabilities and deliver user-facing features that solve real business problems with AI.

What You Will Do:

• Define and drive the roadmap for critical product areas - from search and generative AI experiences to agentic workflows and platform-level capabilities.
• Partner closely with ML, engineering, design, and go-to-market teams to ship delightful and performant AI-powered products.
• Envision, build, and launch experiences that combine generative AI, search, and agentic reasoning - helping users not only find information, but take intelligent action through integrated workflows and plugins.
• Translate ambiguous problems into clear product specs, success metrics, and prioritization frameworks 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.
• Drive product adoption and utility through thoughtful rollout, enablement, and feedback loops.
• Build alignment across cross-functional partners by clearly communicating product vision, roadmaps, and outcomes.

What You Bring to the Table:

• End-to-end product management experience (5+ years) owning technically complex, high-impact products - ideally with machine learning or generative AI at the core. Bonus points for having launched features that delivered measurable impact by solving real user problems with AI.
• 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. 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.