Jobs / United States / Capital One Services LLC
Senior Product Manager, AI Enablement - Analytics: Capital One Shopping (Remote-Eligible)
Capital One Services LLC · 🇺🇸 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 838 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 253 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 Capital One Services LLC paid sponsored hires in similar roles145 certified filings for “Senior Manager, Software Engineering” (Software Developers) in VA: $162k–$193k, median $178k. Most were filed at wage level IV (98%) — 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 — Capital One Services LLC
The US Department of Labor certified 838 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 253 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 Capital One Services LLC →
About the role
Senior Product Manager, AI Enablement - Analytics: Capital One Shopping (Remote-Eligible) Come join our growing team in Capital One Shopping - the AI Enablement team builds and owns the AI products and platforms the rest of the organization runs on. Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. We're looking for a Senior Product Manager with deep data platform experience to own Shopping’s agentic analytics platform. Applied AI experience is a plus, and we value candidates who are builders and actively use AI tools (e.g., Claude Code, Codex, Cursor) to prototype rather than specify, and who’d rather ship a PoC than write a doc about it. Show us what you’ve built. Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: • Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions • Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence • Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value • Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks • Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment What we are looking for: • Deep experience with enterprise data and how it’s defined and governed (semantic and metrics layers, data catalogs, ontologies, warehouse and BI, etc.) • Familiarity with tools across the modern data stack (dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, Mode, etc.) • Familiarity with how AI agents work across structured data (text-to-SQL, tool use, evals, and where these systems fail) • Someone who has adjudicated metric disputes and made the decision stick • A builder who would rather be in the tools prototyping than be dependent on someone else to run them • Comfort with backend and internal platform products, where the users are diverse business and technical teams, and the measure is whether they trust the outputs • A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams • A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging • Someone who works with minimal direction and a mandate that’s still taking shape • Deep work experience handling large data files using SQL, Python, and/or R What you’ll do: • Partner with platform engineers to build and operate AI products that teams across Shopping depend on, starting with an agentic analytics platform • Understand the enterprise data requirements and ensure the system’s compliance with enterprise patterns • Define what a system needs to know to be trusted (the data, the definitions, the context behind both) • Set the boundaries for what agents can and can’t do, and prove those boundaries hold in practice • Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions • Make each successive deployment cheaper and faster than the last • Build and ma