Jobs / United States / Plaid INC
Staff Product Manager - AI & Data Foundations
Plaid INC · 🇺🇸 San Francisco HQ; New York City Office
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 27 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 Plaid INC paid sponsored hires in similar roles1 certified filing for “Product Manager” (Information Technology Project Managers) in NY: $163k–$163k, median $163k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% 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 — Plaid INC
The US Department of Labor certified 27 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 Plaid INC →
About the role
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. As a Product Manager on the AI & Data Foundations team, you will build the shared platforms that power Plaid’s AI and data capabilities. This is early-stage, hands-on work: you’ll partner with data, ML, and platform engineers to take capabilities from 0→1 and scale them into infrastructure that is accessible, reliable, and easy to use across Plaid. Your scope will span our AI platform (e.g., LLM gateway, eval infrastructure), our data platform (e.g., Databricks, AI-powered data tooling), and the systems connecting the two. This role is for an experienced platform PM who is excited about the rapidly evolving intersection of data infrastructure and AI. You are technically fluent, strategic, and execution-oriented, and know how to turn emerging capabilities into reliable platforms, primitives, and tools that other teams can build on. Responsibilities - AI & Data Foundations Strategy: Define the vision, roadmap, and success metrics for the shared platforms that power data and AI development across Plaid. - Platform Development: Partner with data, ML, and platform engineers to design and ship foundational capabilities spanning AI infrastructure, developer tooling, data platforms, pipelines, quality, and governance. - Internal Developer Experience & Adoption: Build platforms that Plaid teams choose to use. Develop a deep understanding of internal users, remove friction from common workflows, and measure success through adoption, developer velocity, reliability, and quality. - Platform Evolution: Balance immediate needs from product teams with longer-term platform investments, identifying where Plaid should standardize, build shared primitives, enable experimentation, and/or leverage an existing external solution. - Cross-Functional Leadership: Partner with product, engineering, data, research, and security to identify shared needs and embed foundational AI and data capabilities across Plaid. - Communication & Alignment: Translate complex technical decisions and platform trade-offs into clear narratives that enable decisions across technical and non-technical stakeholders. Qualifications - 8+ years of product management experience including direct experience building AI/ML platform systems, applied intelligence products, or other data infrastructure from concept to production - Deep technical fluency in modern data and AI/ML systems, including how data is stored and processed and how models are developed, evaluated, deployed, and monitored. You can engage deeply with engineers and data scientists on architecture and technical trade-offs without needing to be the engineer in the room. - Demonstrated success operating in ambiguous, early-stage environments, turning loosely defined problems into decisions, shipped capabilities, and measurable adoption or impact. - Ability to operate in a fast-paced startup environment - Platform mindset and experience building scalable developer or data platforms through well-designed pri