Software Engineering Manager Jobs at Scale AI with Visa Sponsorship
Scale AI hires Software Engineering Managers to lead teams building data infrastructure for AI systems, and the company has an active track record of sponsoring work visas across multiple categories for this function. If you're targeting a technical leadership role here, sponsorship is a realistic path.
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INTRODUCTION
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world’s most important decisions. Scale’s Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities. This is a defense role. We’re looking for a Staff Technical Product Manager to own critical product areas within Scale’s Global Defense business, serving allied defense and national security customers. You’ll be a critical builder, shaping and developing Scale’s global defense products, while being the primary technical expert to our global customers. The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders to drive mission-critical outcomes.
ROLE AND RESPONSIBILITIES
You Will:
- Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
- Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
- Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
- Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
- Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast
- Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go-to-market
BASIC QUALIFICATIONS
Ideally, You’d Have:
- Builder mentality: you’re energized by going from zero to one, not by managing from a distance
- 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
- Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
- Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built
- Enough customer instinct to know what matters, but your default mode is building, not selling
- Bias for action and comfort wearing multiple hats in fast-moving environments
- Willingness to travel to allied partner nations as needed
OTHER INFORMATION
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

INTRODUCTION
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and more. Our mission is to develop reliable AI systems for the world’s most important decisions. Scale’s Global Public Sector (GPS) team is growing quickly and joining it is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities. This is a defense role. We’re looking for a Staff Technical Product Manager to own critical product areas within Scale’s Global Defense business, serving allied defense and national security customers. You’ll be a critical builder, shaping and developing Scale’s global defense products, while being the primary technical expert to our global customers. The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders to drive mission-critical outcomes.
ROLE AND RESPONSIBILITIES
You Will:
- Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
- Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
- Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
- Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
- Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast
- Operate like a founding team member: wear multiple hats, move fast, unblock yourself, and drive outcomes across engineering, operations, and go-to-market
BASIC QUALIFICATIONS
Ideally, You’d Have:
- Builder mentality: you’re energized by going from zero to one, not by managing from a distance
- 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
- Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
- Deep intellectual curiosity about AI systems — you read papers, dig into technical details, and have strong opinions about how things should be built
- Enough customer instinct to know what matters, but your default mode is building, not selling
- Bias for action and comfort wearing multiple hats in fast-moving environments
- Willingness to travel to allied partner nations as needed
OTHER INFORMATION
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Get Access To All JobsTips for Finding Software Engineering Manager Jobs at Scale AI Jobs
Frame your AI infrastructure leadership experience
Scale AI's engineering manager roles center on teams building data pipelines and labeling systems for AI training. Highlight experience leading engineers on data-intensive or ML infrastructure projects before you apply, not after you get interest.
Request an LCA-aligned start date in your offer negotiation
Your employer files a Labor Condition Application with the DOL before your H-1B petition can proceed. Building at least four to six weeks into your target start date for LCA certification prevents timeline conflicts that can delay your first day.
Use Migrate Mate to target open Software Engineering Manager roles
Scale AI posts Software Engineering Manager openings across multiple teams with varying sponsorship scope. Use Migrate Mate to filter and track these roles by visa type so you're applying to positions where your specific category is already supported.
Prepare a portfolio of cross-functional delivery examples
Scale AI's hiring process for engineering managers emphasizes how you've driven delivery across product, research, and operations boundaries. Prepare concrete examples before your technical loop, since interviewers assess leadership judgment, not just coding background.
Software Engineering Manager at Scale AI jobs are hiring across the US. Find yours.
Find Software Engineering Manager at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Software Engineering Managers?
Yes, Scale AI sponsors H-1B visas for Software Engineering Manager roles. The company operates in the AI data infrastructure space, where specialized technical leadership is in consistent demand, making this function one where H-1B sponsorship is a practical hiring tool rather than an exception. You'll want to confirm the specific team's sponsorship scope during the recruiter screen.
How do I apply for Software Engineering Manager jobs at Scale AI?
Applications go through Scale AI's careers page. To improve your chances, tailor your resume to emphasize engineering team leadership in data, ML infrastructure, or AI systems contexts. Migrate Mate lists open Software Engineering Manager roles at Scale AI filtered by visa sponsorship type, which makes it easier to identify the right postings before applying directly.
Which visa types does Scale AI commonly use for Software Engineering Manager hires?
Scale AI sponsors across several categories for this role, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for current students, J-1, and Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, degree field, and current status. Knowing which applies to you before you engage with recruiters keeps the process efficient.
What qualifications does Scale AI expect for a Software Engineering Manager role?
Scale AI's Software Engineering Manager roles typically require a bachelor's degree or higher in computer science or a related engineering field, along with hands-on experience managing software engineers in a production environment. Experience with data pipelines, ML systems, or AI training infrastructure is a strong differentiator. Many roles also expect comfort working across research, product, and operations teams simultaneously.
How do I think about timing if I need Scale AI to sponsor my visa?
Timeline depends heavily on your visa category. H-1B petitions filed under the annual cap must be submitted in early April, with employment starting October 1 at the earliest. E-3 and TN visas move faster and aren't cap-subject. F-1 OPT authorization needs to be active before your start date. Aligning your job search and offer timeline to these windows, particularly the H-1B cap window, is the most common planning gap applicants face.
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