Jobs / United States / Social Finance INC
Sr Staff Forward Deployed Engineer, Enterprise AI
Social Finance INC · 🇺🇸 WA - Seattle; CA - San Francisco; UT - Cottonwood Heights
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 186 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 49 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 Social Finance INC paid sponsored hires in similar roles36 certified filings for “Senior Software Engineer” (Software Developers) in CA: $177k–$220k, median $207k. Most were filed at wage level II (61%) — 2 lottery entries, ≈31% 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 — Social Finance INC
The US Department of Labor certified 186 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 49 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 Social Finance INC →
About the role
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role SoFi is building an internal AI platform that will change how employees across the company work. It combines models, enterprise context, tools, memory, governed capabilities, and an extensible agent harness so teams can move beyond chat and apply AI to meaningful business workflows. You will work with the AI Platform engineering team, product leader, and subject-matter experts across the company. You will help departments reimagine how their work gets done, build the first workflows that make that future real, and turn what you learn in the field into durable platform capabilities. Because you will be the first person in this role, you will also define what forward deployment means at SoFi: how we discover opportunities, onboard departments, build and evaluate workflows, measure outcomes, support users, and translate repeated needs into platform investments. Your work will establish the technical and operating foundation for a broader AI enablement capability. This role does not have a playbook. It is an opportunity to write one and to define how applied AI changes the way work gets done across SoFi. This is a rare opportunity to shape both an enterprise AI platform and the organization that brings it to life. What You’ll Do • You will operate as a product-minded engineer, platform architect, and hands-on builder. One week you may be mapping a complex Finance workflow with domain experts; the next, prototyping an agentic solution, defining its evaluations, and contributing a new capability to the shared platform. • Partner with leaders and subject-matter experts across SoFi to identify high-value opportunities to transform work with AI. • Embed with internal departments to understand their workflows, systems, data, constraints, and measures of success and deploy AI-enabled workflows that solve real business problems. • Lead departments from initial discovery through onboarding, adoption, production use, and measurable outcomes. • Develop the playbooks, technical patterns, and operating practices that allow AI enablement to scale across the company. • Build reusable skills, tools, integrations, agents, and workflow components on top of SoFi's internal AI platform. • Contribute directly to the platform when field deployments reveal missing capabilities or opportunities to improve the developer and user experience. • Create tight feedback loops among users, AI Enablement, product, and platform engineering. • Serve as a trusted technical advisor to senior business and technology leaders navigating the opportunities and tradeoffs of applied AI. What You’ll Need • Deep experience building and operating sophisticated software systems at Sr Staff Engineer equivalent scope. • A track record of leading technically ambiguous, cross-functional initiatives from problem definition through production adoption. • Strong product judgment and an instinct for finding the real problem behind a feature request. • Experience designing applications, platforms, developer tools, workflow systems, or distributed systems. • Practical experience building with large