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AI / ML

Staff Inbound Product Manager - Agentic AI EmployeeWorks

Moveworks

Senior · 5+ yrsOn-site · Mountain view, California, United statesFull-timeListed 4d ago
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Backed by

Lightspeed India

HQ

🇮🇳 India

Open roles

80

Experience Senior · 6+ yrs (5+ years)

About the role

structured by ORI

Staff Inbound Product Manager - Agentic AI EmployeeWorks Engineering Mountain View, California, United States Full-time Apply for job Company DescriptionIt all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy.

What you will do

  • Guide the development of new employee experiences on the new Web surface.
  • 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 product 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.

What they are looking for

  • Typically 5- 8 years of professional experience in Product Management owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products.
  • Typically 5+ years of overall varied technology 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.
  • Understand the market of similar products such as Glean Agent Builder, Microsoft Workflows Agent, and Google Workspace Studio.
  • Strong technical acumen, including previous experience as a software or ML engineer, 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.
  • 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.

Nice to have

  • 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.

Benefits

  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP
  • Matching donations
  • Flexible time away plan and family leave programs
generative LLMsagentic reasoningenterprise searchnatural language understandingsemantic searchconversational AIagentic workflowsspeech technologiesGlean Agent BuilderMicrosoft Workflows AgentGoogle Workspace Studio
Full posting text

Staff Inbound Product Manager - Agentic AI EmployeeWorks Engineering Mountain View, California, United States Full-time Apply for job Company DescriptionIt all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.Join us to put AI to work for people. Job DescriptionThe Team: Moveworks Business UnitAt 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 Product Manager, you’ll 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 guide the development of new employee experiences, within EmployeeWorks. You will build AI-powered, web-based capabilities, enabled by deep enterprise integrations. What You Will Do:Guide the development of new employee experiences on the new Web surface.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 product 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. QualificationsTo be successful in this role you have:Typically 5- 8 years of professional experience in Product Management 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 5+ years of overall varied technology 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.Understand the market of similar products such as Glean Agent Builder, Microsoft Workflows Agent, and Google Workspace Studio. Strong technical acumen, including previous experience as a software or ML engineer, 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 $166,500 - $291,400, 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.FD21 Additional InformationWork PersonasWe 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 EmployerServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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. AccommodationsWe 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 globaltalentss@servicenow.com for assistance. Export Control RegulationsFor 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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Moveworks

India

Backed by Lightspeed India

Company pageWebsite

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