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ServiceNow

Builds software that automates business workflows

Staff Inbound Product Manager - Agentic AI Employeeworks

Product ManagementConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • Typically 5–8 years of professional experience in Product Management owning technically complex, high-impact products, ideally including 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 machine learning engineers, particularly in 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 machine learning engineer, enabling deep engagement with system architecture, application programming interfaces, 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.
  • Strong written and verbal communication skills, including clear and structured memos and compelling product narratives.
  • Strong analytical and problem-solving abilities, including simplifying complexity, making decisions amid ambiguity, and using available data to drive clarity and outcomes.
  • Strength in cross-functional collaboration, aligning engineering, design, data science, marketing, and customer teams around a shared product vision.
  • Ability to balance strategy and execution, think long-term, and consistently deliver high-impact work in the near term.
  • Ability to bring structure, prioritization, and momentum in fast-paced environments with ambiguity.

Responsibilities

  • Guide development of new employee experiences on the new web surface.
  • Partner with product managers, machine learning, engineering, and user experience teams to identify critical capabilities needed to ship delightful and performant AI-powered products.
  • Translate ambiguous problems and user feedback into clear product specifications and success metrics that guide engineering execution.
  • Monitor AI product trends and research, turning developments into strategic product bets and differentiated features.
  • Build alignment across cross-functional partners by communicating product vision, roadmaps, and outcomes.

Desired Qualifications

  • Experience building platforms for machine learning or generative AI products is ideal.
  • Having launched features that delivered measurable impact by solving real user problems with AI is a bonus.
  • Communicating vision and outcomes through blog posts, talks, or webinars is a bonus.

About the Company

ServiceNow

Builds software that automates business workflows

ServiceNow builds cloud software that helps large organizations manage work across IT, customer service, human resources, and security. Its applications handle tasks such as resolving support tickets, onboarding employees, and responding to customer requests. Businesses configure forms, approval steps, and automation through visual tools on a common platform, connecting existing systems and using AI to assist workers or carry out tasks. The company sells subscriptions to its applications and platform, with professional services helping customers implement and use the software. Founded in 2004, ServiceNow is headquartered in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2004

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