Jobs / United States / Capital One Services LLC
Business Manager - AIML Product Strategy
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
Business Manager - AIML Product Strategy About Capital One : At Capital One, we have been relentlessly innovating since Day 1. We are a nationally recognized brand and a leading tech company touching over 100 million households. Founder-led, Capital One has grown to annualized ~$75 billion in revenue in just over 20 years. We consider ourselves the bank a technology company would build. We are the only large bank who is all-in on the cloud, and we build our own software, contributing heavily to the open-source community. We are at the frontier of AI not just in our industry, but in the world at large. Our world-class AI and ML talent (Ranted #1 in the Evident AI index for AI Talent) shapes the frontier of AI; we are in the top 5 US organizations in AI patent application volume – and our papers are routinely featured at top AI conferences (e.g., ICML, NeurIPS, etc.). Many companies claim to be tech companies – we actually live it. About the team & role The Enterprise AI and Machine Learning (AIML) team builds the AI & ML platforms that our company leverages to build all things AI. The platforms deliver the infrastructure, foundation models, and a host of reusable capabilities that enable teams to build cutting-edge AI use cases across the business servicing, marketing, credit underwriting, fraud detection, and more. Capital One is a platform company, and these platforms are the de-facto way to build with AI at Capital One. As a Business Manager on Capital One’s AIML Product Strategy team, you will apply your strategic and analytical skills to shape the destination of AI at Capital One. You will work alongside a team of strategists and our AIML senior leadership to identify the key leverage points and define the strategy for our world-leading organization. You will solve critical business problems, and help us shape Capital One’s AI strategy, in support of our mission to be at the Frontier of AI. You will do it all as part of a highly collaborative, agile team environment - where you will unlock tremendous learning and growth. Key focus areas: • Setting the destination vision for our AI & ML platforms, working alongside leaders in our AI organization and business • Working back from our customers and internal partners, to identify the outcomes we seek and the reusable capabilities and services we need • Build storylines and materials to roll out our AIML strategy across the company • Help bring our vision to life by working with stakeholders in our lines of business and our AIML teams on “on-the-ground” problem solving • Shaping our strategy and the continuous delivery and improvement of our AI platform capabilities Who we are looking for: We are looking for a general athlete, strategic and analytical thinker, and a world-class communicator. This role will require exceptional strategic thinking, high learning agility in the domain of AI, the ability to influence senior leaders, and the great teamwork in leading and working alongside a team of strategists. Basic Qualifications: • At least 3 years of professional experience performing analysis • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field) • A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Me