Jobs / United States / Faraday & Future INC
IT Microsoft Product Expert
Faraday & Future INC · 🇺🇸 El Segundo, California, United States
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 12 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 7 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 Faraday & Future INC paid sponsored hires in similar roles1 certified filing for “PRODUCT MANAGER, CONSUMER DIGITAL PRODUCTS” (Information Technology Project Managers) in CA: $116k–$116k, median $116k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 — Faraday & Future INC
The US Department of Labor certified 12 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 7 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 Faraday & Future INC →
About the role
The Company: Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact. Your Role: The Microsoft Product Expert will focus on the strategic development, implementation, and optimization of Microsoft products and solutions within the organization. This role is ideal for someone with deep technical expertise in Microsoft technologies who is also passionate about development, platform enhancement, and the responsible use of AI capabilities within the Microsoft ecosystem. The position requires close collaboration with development teams and stakeholders to ensure seamless integration, performance optimization, and responsible adoption of both traditional and AI-driven Microsoft solutions. Responsibilities • Product Development: Lead and drive the adoption and development of Microsoft products, including Office 365, Power BI, SharePoint, and Microsoft Azure, ensuring they are fully integrated into the organization’s workflows and IT ecosystem. • AI Governance & Responsible Use: Establish and maintain guidelines for responsible AI usage across Microsoft platforms, ensuring alignment with organizational policies, data privacy standards, and regulatory compliance. Evaluate AI features for ethical considerations including security, fairness, transparency, and proper data handling. • Solution Architecture: Design and implement scalable, efficient solutions using Microsoft technologies and AI-enhanced services. Ensure these solutions meet business needs while improving system performance, user experience, and the safe use of AI-driven features. • Customization & Automation: Develop custom solutions using Power Automate, Power Apps, AI Builder, and other Microsoft tools to automate business processes, enhance operational efficiency, and support responsible and secure AI adoption. • Collaboration & Support: Collaborate with development teams, business units, and technical stakeholders to optimize the use of Microsoft solutions and AI capabilities. Provide training and ongoing support to ensure users understand how to leverage these tools effectively and responsibly. • Integration: Ensure smooth integration between Microsoft products, AI services, and other enterprise systems. Focus on secure data flow, compliance, governance, and the ethical use of AI throughout interconnected platforms. • Innovation: Continuously evaluate and introduce new Microsoft tools, AI features, and platform enhancements to improve productivity, collaboration, and responsible innovation across the organization. • AI Performance Monitoring & Risk Management: Monitor performance, usage analytics, and outcomes of AI-driven tools. Assess risks, identify potential biases or unexpected behaviors, and implement safeguards or improvements based on data and user feedback. • Product Roadmap: Work with stakeholders to define the Microsoft product and AI capability roadmap. Align solutions with business goals while anticipating future growth, compliance requirements, and emerging technology trends. • Performance Monitoring & Optimization: Monitor the performance of Microsoft products, including usage analytics, and propose improvements based on feedback and usage patterns. • Documentation & Training: Develop detailed product documentation, AI usage guidelines, best-practice resources, and user manuals. Conduct training sessions to ensure widespread adoption