Jobs / United States / Scale AI INC
Program Manager, Technical Enablement
Scale AI INC · 🇺🇸 San Francisco, CA; 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 roles2 certified filings for “Growth Program Manager” (Sales Engineers) in CA: $190k–$190k, median $190k. Most were filed at wage level II (100%) — 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.
Or apply yourself on the official page →
Sponsor Radar — Scale AI INC
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
Scale AI’s customer-facing engineering organization is one of the fastest-growing and most technically demanding in enterprise AI. Frontier Agentic Engineers sit at the center of our most strategic relationships; building, integrating, and troubleshooting directly with customers. Until now, there has been no dedicated enablement function to support them. As Program Manager, Technical Enablement, you will build that function from the ground up. Your job is to make sure every engineer who joins this team ramps quickly and confidently, has access to an authoritative, maintained knowledge base they can actually trust, and stays sharp as Scale’s platform and product surface evolves. You will own the full enablement lifecycle for customer-facing engineering, from day one onboarding through ongoing development, and you will be measured on ramp speed, knowledge base health, and the sustained readiness of the teams you support. This role sits within the Enablement org and partners closely with FAE leadership, the broader Enablement team, and cross-functional stakeholders across Product, Engineering, Sales, and Delivery. You will: Build and Own Engineering Onboarding • Design and launch a structured, role-based onboarding program for new FAE hires, taking engineers from environment setup through meaningful technical contribution within their first 30 days. • Define fully ramped success criteria by role and communicate them clearly to new hires and their managers. Own and Govern the Engineering Knowledge Base • Audit, consolidate, and maintain the authoritative technical knowledge base for customer-facing engineering, eliminating fragmentation, broken link chains, and stale documentation. • Establish a review cadence to keep content current as the platform evolves; tag owners and set expiration dates for key docs. • Create a clear document hierarchy so engineers always know which resources are canonical and which are deprecated. • Work with internal experts to surface the right documentation for the right audience, distinguishing what a new hire needs on Day 1 from what an established engineer needs to go deep. Drive Ongoing Technical Development (Everboarding) • Develop and maintain a recurring enablement cadence (live sessions, async updates, release summaries) that keeps tenured engineers up to date on new capabilities, product changes, and evolving enterprise use cases. • Identify readiness gaps through feedback loops with managers and new hires, and develop targeted content to close them. Stakeholder Collaboration & Program Management • Serve as the embedded enablement partner to FAE leadership, maintaining a close pulse on what the teams need as the business scales. • Collaborate with the broader Enablement team to adapt existing GTM enablement content for engineering audiences and bring engineering learnings back to the org. • Manage multiple concurrent programs with clear milestones, keeping stakeholders informed on roadmap progress and program effectiveness. • Report on program health and outcomes to engineering and Enablement leadership on an ongoing basis. Ideally you’ll have: • 4+ years of professional experience in enablement, program management, technical training, or a closely related role. • 2+ years of program management experience, with a track record of taking programs from zero to launched in a fast-moving environment. • Experience supporting technical teams, engineers, solutions engineers, or similar, at a B2B technology company. • Strong instincts for knowledge management: you’ve built or significantly improved a documentation system and have clear opinions on what makes them work. • Comfort navigating technical content: you don’t need to write code, but you can read a technical architecture doc