ServiceNow Principal Inbound Product Manager, AI Assistant (Core ML) - MoveWorks \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Principal Inbound Product Manager, AI Assistant (Core ML) - MoveWorks Full-time Employee Type: Regular Region: AMS - North America and Canada Work Persona: Required in Office Company Description 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. Job Description The Team: Moveworks Business Unit At Moveworks, were 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, youll 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. Qualifications 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 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. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. 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The role requires end-to-end product management experience of at least seven years, with a focus on technically complex, high-impact products, ideally in building platforms for machine learning or generative AI. A total of fifteen years of diverse technical experience is typically expected. Deep familiarity with machine learning concepts and experience working with ML engineers in areas like natural language understanding, semantic search, conversational AI, agentic workflows, and speech technologies are essential. The candidate should understand real-time ML performance requirements and be able to make informed tradeoffs. Strong technical acumen, including prior experience as a software or ML engineer, or a technical degree (B.S. or M.S. in CS or related field), is necessary to understand system architecture and infrastructure decisions. Proven success in shipping enterprise-grade products to large user bases, including developing rollout strategies and customer feedback loops, is also required.