Product Manager 3, Internal AI

We are seeking a highly motivated IT Product Manager for Internal AI to help deliver and scale AI-powered solutions across our enterprise IT landscape. You’ll support the product lifecycle for internal AI tools; partnering with senior PMs, engineers, and operational teams to turn defined opportunities into shipped capabilities that improve service delivery, knowledge management, automation, and decision support. This is a hands-on role for someone early in their product career who is excited to learn, work cross-functionally, and make measurable impact.

We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model.

Key Responsibilities

• Product execution and delivery 
• Support the end-to-end lifecycle for internal AI products; from discovery tasks, writing clear requirements, coordinating prototypes, to assisting with launches and post-launch iteration under guidance from senior PMs.
• Backlog and roadmap support 
• Maintain clean user stories, acceptance criteria, and prioritization for a scoped backlog; contribute to release notes and lightweight roadmap updates.
• User research and requirements 
• Participate in interviews, help map critical user journeys, synthesize insights, and translate them into problem statements and MVP scopes.
• Adoption and enablement 
• Assist with UAT, documentation, training materials, and rollout plans that drive adoption and measurable outcomes (time saved, CSAT, deflection).
• Analytics and outcomes
• Partner with engineering/analytics to define success metrics, instrument basic telemetry, and report on feature usage and impact.
• Stakeholder collaboration
• Work with IT partners (Applications, Infrastructure, Security, Service Desk) and business stakeholders to clarify needs, gather feedback, and keep work unblocked.
• Governance and responsibility 
• Learn and apply responsible AI practices and guardrails in partnership with data, security, and compliance teams.
• AI evangelism
• Contribute to internal share-outs, demos, and office hours to build awareness of what’s shipped and what’s next.

Qualifications

• 3–5 years of experience in product management or adjacent roles in IT, data, or software (internships, apprenticeships, research projects, or relevant full-time experience all count).
• Familiarity with AI/ML concepts and workflows (LLMs, agents, copilots, prompt design, evaluation) and an eagerness to learn how to apply them to internal enterprise use cases.
• Strong fundamentals in PM craft, including writing concise PRDs/requirements, defining acceptance criteria, running lightweight discovery, and partnering with engineering.
• Clear communication and collaboration skills with the ability to translate technical details into user value and to coordinate across multiple stakeholders.
• Comfort with data and measurement (basic experimentation concepts, funnels, dashboards) to track adoption and outcomes.
• Awareness of responsible AI practices (data privacy, security, model limitations, bias) and willingness to follow established guardrails.
• Bachelor’s degree in Computer Science, Information Systems, Data/Analytics, or related field, or equivalent practical experience.

Nice to Have

• Exposure to enterprise IT systems and how internal tools integrate with them (e.g., SuccessFactors, Salesforce).
• Hands-on familiarity with AI platforms (e.g., OpenAI, Anthropic, Azure AI, AWS AI, Google Cloud AI) or agentic frameworks in coursework or projects.
• Basic scripting or SQL to explore data, validate assumptions, or support instrumentation.

Success Measures

• Delivery of scoped, high-quality features that address clearly defined user problems
• Demonstrated improvement in adoption and user satisfaction for assigned capabilities
• Clear, reliable PM artifacts (requirements, user stories, release notes) and on-time execution
• Positive feedback from stakeholders on collaboration, clarity, and follow-through

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