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Jobs/Palo Alto/Staff Product Manager - Internal AI
Palo Alto, CA

Staff Product Manager - Internal AI

We are seeking a highly skilled Staff IT Product Manager for Internal AI to drive the strategy, delivery, and adoption of AI-powered solutions across our enterprise IT landscape. This role will be pivotal in shaping how AI transforms our internal operations, from service delivery and knowledge management to automation

Company
Mongodb
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

We are seeking a highly skilled Staff IT Product Manager for Internal AI to drive the strategy, delivery, and adoption of AI-powered solutions across our enterprise IT landscape. This role will be pivotal in shaping how AI transforms our internal operations, from service delivery and knowledge management to automation 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) - Balance quick wins (AI copilots) with longer-term bold initiatives (AI-driven automation and decision-making) - Experience in implementing AI solutions for enterprises our size and scale. This should include enabling agentic platforms for organizations and bringing to the table the best practices, pitfalls and learnings from such experiences Requirements: - Define and manage product backlogs, roadmaps, and success metrics - Drive adoption and ensure AI solutions are delivering measurable outcomes (efficiency, cost savings, user experience) - Stakeholder Engagement - Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities - Collaborate with business stakeholders to ensure alignment and secure sponsorship for AI initiatives - Communicate product vision, progress, and value realization to executive leadership Company context: MongoDB is the public document database company powering modern applications across cloud, on-prem, and edge.

Responsibilities

Day-to-day expectations

Mongodb lists these responsibilities for the Staff Product Manager - Internal AI role.

  • 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)
  • Balance quick wins (AI copilots) with longer-term bold initiatives (AI-driven automation and decision-making)
  • Experience in implementing AI solutions for enterprises our size and scale. This should include enabling agentic platforms for organizations and bringing to the table the best practices, pitfalls and learnings from such experiences
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Define and manage product backlogs, roadmaps, and success metrics
  • Drive adoption and ensure AI solutions are delivering measurable outcomes (efficiency, cost savings, user experience)
  • Stakeholder Engagement
  • Partner with IT leaders (Applications, Infrastructure, Security, Service Desk) to identify pain points and AI opportunities
  • Collaborate with business stakeholders to ensure alignment and secure sponsorship for AI initiatives
  • Communicate product vision, progress, and value realization to executive leadership
UpJobz market context

Why this listing is more than a copied job post.

Staff Product Manager - Internal AI is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in Palo Alto should be compared against commute, local salary bands, and nearby employer demand.

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Subscriber playbook

Turn this listing into an application plan.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to staff product manager - internal ai is a high-signal on-site role in palo alto, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceOn-siteaillmmachine-learningaws

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmmachine-learningawsgcpazuresecuritydataproductuxplatformapidatabasegoc++cloudatlas
Next step

Apply through the employer source

Open the source listing from mongodb.com, confirm the role is still active, then apply on the employer or ATS page.

Open employer application

Source: mongodb.com Β· Source ID: 7781724 Β· Confidence: 90/100 Β· Last checked: May 7, 2026

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