Jobs / United States / Pfizer INC

Director, AI Platform Product Management

Pfizer INC · 🇺🇸 3 Locations

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 40 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 9 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 Pfizer INC paid sponsored hires in similar roles1 certified filing for “SR. DIRECTOR, DRUG PRODUCT FORMULATION” (Chemical Engineers) in NC: $241k–$241k, median $241k. 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 — Pfizer INC

40 H-1B filings certified since Oct 2025

The US Department of Labor certified 40 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 9 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 Pfizer INC →

About the role

ROLE SUMMARY As the Director, AI Platform Product Management, you lead a defined product, capability, or functional area across the full product lifecycle — from problem discovery through delivery and measurable outcomes. You identify meaningful user and business problems, shape product direction, partner with cross-functional teams to deliver solutions, and measure impact after release for all business units or therapeutic areas, operating at global scale. In this role, that area is an enterprise AI platform for which you are the single point of product accountability and the primary product voice within its operating model, owning product strategy, the roadmap and the adoption outcomes the platform is judged on, alongside an engineering lead accountable for technical delivery and a digital lead accountable for portfolio-level direction. The platform is AI-native and greenfield, built to serve the teams that build and operate AI agents, in an area where no established internal template exists. You convert evolving AI governance, risk, privacy and security requirements into product capabilities, user journeys, controls and evidence suitable for governance review, spanning agent registration, evaluation and cost tracking. You are therefore accountable for product decisions with limited precedent: where the platform’s boundaries sit, what gating applies, what evidence is required, and what makes these capabilities usable enough that the intended teams adopt them rather than work around them. You are responsible for a new product or a product supported by four or more Agile teams, and for investment decisions in the range of approximately $5M. You bring a strong blend of strategic thinking, structured problem-solving, customer focus, and execution discipline, while supporting delivery in contexts that involve some new or unknown GxP requirements. You work across a cross-functional stakeholder environment spanning engineering, legal, compliance, risk and security, together with the agent-building teams that use the platform. You create, own, and evolve the strategic product roadmap aligned to customer needs, business priorities, and measurable outcomes, prioritizing initiatives based on value, feasibility, customer impact, and organizational objectives, and aligning sequencing with delivery capacity and dependencies. For this platform that is a multi-year direction set while AI governance, risk and security requirements continue to evolve. ROLE RESPONSIBILITIES • Product Lifecycle & Platform Ownership: Lead a designated product, capability, or functional area from early opportunity assessment through launch and ongoing optimization, owning roadmap direction, prioritization, and product planning. Hold that ownership end to end for an enterprise AI platform as its single point of product accountability, covering product strategy, the multi-year roadmap and adoption outcomes rather than delivery alone. • Product Definition Without Precedent: Lead product definition for a greenfield platform, developing options and recommendations on platform boundaries, gating, evidence requirements and adoption where precedent is limited, and absorbing predecessor capabilities into a coherent product. • Customer Discovery & Experimentation: Develop deep understanding of customer needs, workflow challenges, and business priorities, and convert research, feedback, usage patterns, and business context into clear product opportunities, including the needs of the teams that build and operate AI agents. Use experimentation, lightweight validation, and AI-supported approaches to accelerate learning and de-risk decisions. • Prioritization, Trade-offs & Outcomes: Prioritize initiatives based on value, feasibility, customer impact, and organizational obje

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Source: Employer career site (Workday) First seen: 2026-10-02 Last confirmed: 2026-10-02 How our data works → Report this job

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