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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 3263256741