Jobs / United States / Scale AI INC

Sr. Director, (Applied AI) Forward Deployed Engineering

Scale AI INC · 🇺🇸 New York, NY

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 74 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 3 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 Scale AI INC paid sponsored hires in similar roles3 certified filings for “Director of Data Science & Analytics, GenAI” (Operations Research Analysts) in CA: $210k–$300k, median $215k. Most were filed at wage level III (67%) — 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).

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Sponsor Radar — Scale AI INC

74 H-1B filings certified since Oct 2025

The US Department of Labor certified 74 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 3 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 Scale AI INC →

About the role

About Scale AI Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We work with leading enterprises to bring generative AI safely into production—powering real-world impact through rigorous evaluation, deployment, and execution. The Role The Sr. Director, Forward Deployed Engineering (US East) will lead Scale’s enterprise customer engagements across the Eastern United States. This role sits at the intersection of customer leadership, applied AI, and execution—owning how Scale partners with Fortune 500 executives to design, build, and deploy AI-powered systems that deliver measurable business outcomes. As a regional leader and peer to Scale’s existing Forward Deployed leadership, you will manage and grow multidisciplinary teams of applied scientists and full-stack engineers, shape how we deliver agentic AI applications in customer environments, and set the bar for executive-level customer engagement. This is a high-impact leadership role in a period of regional expansion and organizational evolution. You will: • Lead all US East enterprise customer engagements, serving as the senior technical and delivery executive for Scale’s most strategic accounts. • Partner closely with Sales, Product, and Engineering leadership to support customer acquisition, expansion, and long-term success. • Build and manage forward-deployed teams composed of applied scientists and full-stack software engineers, structured into customer-specific technical pods. • Own end-to-end delivery execution for customer deployments, ensuring reliability, rigor, and measurable business impact. • Guide teams in building production-grade, agentic AI applications for Fortune 500 enterprises. • Establish and enforce an evals-first approach to customer deployments, ensuring performance, safety, and reliability standards are met. • Lead senior-level technical conversations with customer executives, demonstrating Scale’s credibility as a trusted AI partner. • Support technical upsell conversations by articulating architectural tradeoffs, capabilities, and future-state possibilities (with commercial ownership held by AEs). • Hire, develop, and mentor forward-deployed leaders and ICs, including training teams on executive-level customer interaction and professional standards. • Help shape Scale’s regional forward-deployed strategy as part of a broader global and US restructuring. Ideally you’d have: • 12+ years of experience in software engineering, applied ML, or AI systems, with significant leadership responsibility. • Proven experience leading customer-facing technical teams delivering complex systems for large enterprise customers. • Executive presence and credibility with senior Fortune 500 stakeholders, including experience navigating high-stakes technical discussions. • Strong technical foundation in either applied machine learning or full-stack / distributed systems engineering (strength in one, fluency in the other). • Demonstrated ability to translate ambiguous customer needs into concrete technical solutions and delivery plans. • Experience partnering with sales and product teams in pre-sales, expansion, and delivery contexts. • A track record of building, scaling, and managing high-performing multidisciplinary teams. Nice to have: • Experience deploying generative AI or agentic systems in production enterprise environments. • Background in consulting, forward-deployed engineering, or professional services for technical products. • Experience building evaluation frameworks for ML or AI system performance. • Prior responsibility for regional or multi-account technical leadership. Leveling Note This role is flexibly leveled (Director to Sr. Director) based on candidate experience, scope, and demonstr

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Source: Greenhouse (employer board) First seen: 2026-08-10 Last confirmed: 2026-10-03 How our data works → Report this job

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