MongoDB

3 months ago

Staff Product Manager - Internal AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 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: 4.1

Website LinkedIn

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MongoDB

3 months ago

Staff Product Manager - Internal AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

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: 4.1

Website LinkedIn