Jobs / United States / Scale AI INC

Software Engineering 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 roles29 certified filings for “Software Engineer” (Software Developers) in CA: $210k–$235k, median $216k. Most were filed at wage level II (34%) — 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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Requirement gap

The posting mentions a security clearance — usually restricted to citizens of that country.

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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

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: • Recruit a high-performing engineering team. • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. • Collaborating with cross-functional teams to define, design, and execute strategic roadmap. • Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. • Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions • Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings • Have or ability to obtain a TS/SCI clearance Ideally you’d have: • 5+ years of full-time engineering experience, post-graduation • 2+ years of prior engineering management or equivalent experience and has managed an engineering team. • Have extensive experience in software development • Experience scaling products at hyper-growth startups • Excitement to work with AI technologies and their applications for the public sector • Extremely strong track record as an individual contributor • Show a track record of mentoring and leading teams in successful projects • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: • TS/SCI Clearance • Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. • Have experience with AI platforms and technologies, including generative models and LLMs. • Have previous experience in government or government facing technology roles • Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure 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-r

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Source: Greenhouse (employer board) First seen: 2026-08-04 Last confirmed: 2026-10-03 How our data works → Report this job

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