Jobs / United States / Scale AI INC
Technical Program Manager, Public Sector
Scale AI INC · 🇺🇸 Washington, DC
Sponsorship verdict
Posting rules out sponsorship
The posting rules out sponsorship or requires citizenship/clearance.
- 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).
- Security clearance mentionedFrom the posting’s own wording.
- 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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Why not apply?
The posting mentions a security clearance — usually restricted to citizens of that country.
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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's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. As a member of our Public Sector Delivery team, you are a catalyst, willing to go deep, get technical, and drive change. You are the ultimate hands-on leader, triaging customer issues and support, using data and analytics to align internal resources around Scale’s hardest problems, and driving the creation of tools that add direct value to Scale’s Public Sector customers. All of this serves an ultimate goal of delivering outsized value in supporting our Public Sector customer’s AI/ML objectives. Your natural inclination is to dive into both technology and organizational processes to craft effective solutions and gain efficiencies. You are biased towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on customer objectives. You have a track record of driving technical projects to completion, and stewarding lasting organizational change. And you are naturally empathetic, have high EQ, and excel at building long-term relationships through diligent problem solving, domain competence, and thoughtful, strategic discussions You will: • Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers • Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions • Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space • Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous • Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains • Lead a cross-functional team to exceed the customer’s AI/ML objectives • Manage the long-term health of the customer base by identifying and preempting areas of risk or concern • Strategically identify ways we can make customer success repeatable and solve issues for future customers • Address engineering problems alongside the product development teams Must Haves: • An active TS/SCI clearance (Full Scope Polygraph is a nice to have) • 3+ years of experience succeeding in stakeholder management or customer-facing role • A technical background (education or professional experience with CS, Economics, Statistics, Engineering) • A deep understanding of ML operations process • A track record of structured, analytics-driven problem-solving • Excellent verbal and written communication skills • Ability to be forward deployed and willingness to travel at least 25% of the time (50% travel is a nice to have) We have a diverse team with a variety of skill sets, many have: • 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. • Prior experience at an API technology company and / or managing technical customers using an API • Proficiency in Python, SQL or other programming languages Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant educati