MongoDB · 1 day ago
Product Manager 3, Internal AI
MongoDB is a company that empowers customers and employees to innovate at the speed of the market. The IT Product Manager for Internal AI will help deliver and scale AI-powered solutions across the enterprise IT landscape by supporting the product lifecycle for internal AI tools and collaborating with various teams to enhance service delivery and decision support.
Cloud ComputingDatabaseOpen SourceSaaSSoftware
Responsibilities
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
Maintain clean user stories, acceptance criteria, and prioritization for a scoped backlog; contribute to release notes and lightweight roadmap updates
Participate in interviews, help map critical user journeys, synthesize insights, and translate them into problem statements and MVP scopes
Assist with UAT, documentation, training materials, and rollout plans that drive adoption and measurable outcomes (time saved, CSAT, deflection)
Partner with engineering/analytics to define success metrics, instrument basic telemetry, and report on feature usage and impact
Work with IT partners (Applications, Infrastructure, Security, Service Desk) and business stakeholders to clarify needs, gather feedback, and keep work unblocked
Learn and apply responsible AI practices and guardrails in partnership with data, security, and compliance teams
Contribute to internal share-outs, demos, and office hours to build awareness of what’s shipped and what’s next
Qualification
Required
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
Preferred
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
Benefits
Equity
Participation in the employee stock purchase program
Flexible paid time off
20 weeks fully-paid gender-neutral parental leave
Fertility and adoption assistance
401(k) plan
Mental health counseling
Access to transgender-inclusive health insurance coverage
Health benefits offerings
Company
MongoDB
MongoDB is a next-generation database that helps businesses transform their industries by harnessing the power of data.
H1B Sponsorship
MongoDB has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (159)
2024 (150)
2023 (133)
2022 (79)
2021 (51)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$311MKey Investors
SalesforceEquityZenT. Rowe Price
2024-11-14Post Ipo Equity
2024-10-16Post Ipo Debt
2018-03-06Post Ipo Equity
Recent News
Investing.com
2026-01-06
2025-12-15
Company data provided by crunchbase