Staff Product Manager - Internal AI

MongoDB
San Francisco, Palo Alto
Workplace: HybridFull timeFunction: Product ManagementExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Leadership","Influence","Evangelism"]

Staff IT Product Manager for Internal AI drives strategy, delivery, and adoption of AI-powered solutions across enterprise IT, shaping AI-enabled service delivery, knowledge management, automation, and decision support. Leads enterprise-scale AI/ML products, collaborates across IT and business, and delivers measurable impact through internal AI initiatives and governance.

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FursaFursa
MongoDB
MongoDB
4 months ago

Staff Product Manager - Internal AI

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Staff IT Product Manager for Internal AI drives strategy, delivery, and adoption of AI-powered solutions across enterprise IT, shaping AI-enabled service delivery, knowledge management, automation, and decision support. Leads enterprise-scale AI/ML products, collaborates across IT and business, and delivers measurable impact through internal AI initiatives and governance.
Location: San Francisco, Palo Alto
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • •AI Product Strategy & Roadmap: Define and execute the internal AI product strategy aligned with enterprise IT and business goals; Own multiple product lines in the internal AI product space; Prioritize high-value use cases across IT functions (helpdesk, infrastructure, security, applications, enterprise data)
  • •Product Management Execution: Own the lifecycle of AI products—from ideation, critical user journey definition, requirements gathering, vendor evaluation, prototyping, and implementation to scaling in production; Define and manage product backlogs, roadmaps, and success metrics
  • •Stakeholder Engagement: Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities; Collaborate with business stakeholders to secure sponsorship; Communicate product vision and value realization to executives
  • •Governance & Risk Management: Ensure AI adoption complies with governance, security, privacy, and compliance standards; Work with data teams to ensure responsible AI practices and guardrails
  • •Team Leadership & Evangelism: Serve as a thought leader for AI within IT; Mentor junior product managers and foster a culture of innovation

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity401kParental LeaveHealth InsurancePaid Leave

Key Requirements

  • •10+ years of product management experience, with at least 3 years in AI/ML, automation, or enterprise IT solutions
  • •Strong understanding of IT service delivery, enterprise applications, and internal operations
  • •Demonstrated success delivering AI or advanced analytics products at scale in a corporate environment
  • •Experience with AI platforms (e.g., OpenAI, Anthropic, Azure AI, AWS AI, Google Cloud AI) and integration with IT systems (ZenDesk, SuccessFactors, Salesforce, etc.)
  • •Excellent communication and stakeholder management skills, with ability to influence at all levels
Experience:10+ yearsEnterprise ITAI/MLInternal operations
Education:Bachelor's in Computer ScienceBachelor’s degree in Computer Science (preferred)
Skills:CommunicationStakeholder managementLeadershipInfluenceEvangelism
Languages:English
Tech Stack:OpenAIAnthropicAzure AIAWS AIGoogle Cloud AIZendeskSalesforceSuccessFactors

Company Brief

MongoDB
Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2007
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn