Software Engineering Manager Jobs at Scale AI with Visa Sponsorship
Software Engineering Manager jobs at Scale AI involve leading 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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Get Access To All JobsINTRODUCTION
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
- Create multi-layered guardrails around agents
- Optimize data retrieval for agents
- Orchestrate fleets of asynchronous agents
- Automatically alerts users to deviations in data
- Illustrating how an agent reached a decision
ROLE AND RESPONSIBILITIES
As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.
You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.
- Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
- Ensure system reliability and performance across multiple security classifications and network types.
- Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
- Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
- Influence the long-term product strategy and technical roadmap for the Federal business unit.
- Consult on the architecture of AI-powered solutions for large-scale federal contracts.
BASIC QUALIFICATIONS
Ideally you will have:
- Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
- AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
OTHER
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
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
- Create multi-layered guardrails around agents
- Optimize data retrieval for agents
- Orchestrate fleets of asynchronous agents
- Automatically alerts users to deviations in data
- Illustrating how an agent reached a decision
ROLE AND RESPONSIBILITIES
As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.
You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.
- Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
- Ensure system reliability and performance across multiple security classifications and network types.
- Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
- Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
- Influence the long-term product strategy and technical roadmap for the Federal business unit.
- Consult on the architecture of AI-powered solutions for large-scale federal contracts.
BASIC QUALIFICATIONS
Ideally you will have:
- Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
- AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
OTHER
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.
See all 41+ Software Engineering Manager Jobs at Scale AI
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Get Access To All JobsTips for Finding Software Engineering Manager Jobs at Scale AI
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.
Confirm your visa category before interviewing
Scale AI sponsors H-1B, E-3, TN, and F-1 OPT among others. Knowing which category fits your nationality and degree field before your first recruiter screen means you can answer sponsorship questions directly instead of stalling the process.
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.
Understand your F-1 OPT window if you're a recent graduate
If you're on F-1 OPT, STEM extension eligibility depends on your degree field and employer E-Verify enrollment. Confirm Scale AI's E-Verify status early and track your OPT expiration date against the H-1B cap filing window in April.
Frequently 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 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for current students, J-1 visa, 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.