ServiceNow Logo

ServiceNow

Staff Inbound Product Manager - Agentic AI EmployeeWorks

Posted Yesterday
Be an Early Applicant
Hybrid
Mountain View, CA, USA
167K-291K Annually
Senior level
Hybrid
Mountain View, CA, USA
167K-291K Annually
Senior level
Lead development of AI-powered employee experiences on a web surface. Define product specifications, success metrics, roadmaps, and strategic bets; partner with ML, engineering, UX, data science, marketing, and customer teams; translate user feedback and ambiguous problems into scalable enterprise capabilities; and guide rollout strategies and feedback loops for products serving large user bases.
The summary above was generated by AI
Company Description

It 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 Description

The Team: Moveworks Business Unit

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 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.

Qualifications

To 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 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, 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.  

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 [email protected] 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

HQ

ServiceNow Santa Clara, California, USA Office

2225 Lawson Lane, Santa Clara, CA, United States, 95054

ServiceNow Pleasanton, California, USA Office

4305 Hacienda Drive, Suite 200, Pleasanton, CA, United States, 94588

ServiceNow San Francisco, California, USA Office

101 Green Street, San Francisco, CA, United States, 94111

Similar Jobs at ServiceNow

10 Hours Ago
Hybrid
126K-195K Annually
Junior
126K-195K Annually
Junior
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and develop scalable backend software for data access across databases and data lakes. Build SQL generation and platform persistence capabilities, collaborate with product managers, own features through delivery, implement automated testing, participate in reviews, optimize performance, and improve reliability, observability, and production readiness.
Top Skills: Ci/CdJavaJunitMariadbMySQLOraclePostgresSeleniumSQLTestngTrinoUnix
10 Hours Ago
Remote or Hybrid
Santa Clara, CA, USA
146K-256K Annually
Senior level
146K-256K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Manage security-focused customer contract reviews and negotiations, including redlines addressing information security, data protection, and architecture. Develop standard contractual language aligned with security policies, collaborate with legal and cross-functional teams, address customer security concerns, and prioritize multiple negotiations against critical timelines. The role requires strong SaaS, cloud, enterprise IT, contractual, communication, and stakeholder-management expertise, with the ability to navigate ambiguity and apply AI to work processes.
Top Skills: AICloud ComputingData ProtectionInformation SecuritySaaSServicenow
10 Hours Ago
Hybrid
Santa Clara, CA, USA
232K-405K Annually
Senior level
232K-405K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead high-impact research in agent learning and recursive self-improvement. Design post-training methods, agent harnesses, training environments, evaluations, and distributed pipelines for reliable enterprise agents. Investigate planning, reasoning, memory, tool use, multimodal capabilities, and long-horizon execution. Analyze failures, run rigorous experiments, build improvement loops, and transition validated research into production systems. Provide technical leadership across teams and communicate results through reports, publications, patents, benchmarks, and open-source contributions.
Top Skills: Distributed InferenceDistributed TrainingDpoGpu InfrastructureGrpoKnowledge RetrievalLarge Language Models (Llms)Model Context Protocol (Mcp)Multimodal ModelsPythonPyTorchReinforcement LearningReward ModelingSupervised Fine-Tuning (Sft)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account