Jobs / United States / Mongodb INC
Staff Product Manager - Internal AI
Mongodb INC · 🇺🇸 Palo Alto
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 93 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mongodb INC paid sponsored hires in similar roles2 certified filings for “Staff Product Manager” (Market Research Analysts and Marketing Specialists) in CA: $186k–$186k, median $186k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Mongodb INC
The US Department of Labor certified 93 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Mongodb INC →
About the role
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 and decision support. The ideal candidate has a proven track record of managing enterprise-scale AI/ML products, collaborating across IT and business functions, and delivering 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 • 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 • Product Management Execution • Embrace the product mindset and 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 • 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 • Governance & Risk Management • Ensure AI adoption complies with enterprise governance, security, privacy, and compliance standards • Work with data teams to ensure responsible AI practices and guardrails are in place • Team Leadership & Evangelism • Serve as a thought leader and evangelist for AI within IT, driving awareness, education, and adoption • Mentor junior product managers and contribute to building a culture of innovation in IT Qualifications • 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 • Familiarity with responsible AI practices, data governance, and compliance requirements • Bachelor’s degree in Computer Science (preferred), or related field (MBA or advanced degree preferred) Success Measures • Delivery of high-value AI use cases that improve IT efficiency and business outcomes • Adoption of AI solutions across IT teams and end users • Measurable cost savings, productivity improvements, and enhanced employee experience • Positive feedback from stakeholders on AI innovation and impact About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the m