Principal Inbound Product Manager - MoveWorks - Enterprise Search Platform

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.

What You Will Do:

• 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. 

• 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. 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.

 

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 qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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