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-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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, Ernst & Young, 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 [email protected]. 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.
Skills Required
- Must be able to commute to office three times per week
- Have or ability to obtain a TS/SCI clearance
- 5+ years of full-time engineering experience, post-graduation
- 2+ years of prior engineering management or equivalent experience
- Extensive experience in software development
- Design and implement scalable backend systems, distributed systems, data-intensive applications, and ML infrastructure
- Show a track record of mentoring and leading teams in successful projects
- Experience scaling products at hyper-growth startups
- Experience with AI platforms, generative models, and LLMs
- Experience with cloud-native technologies, full stack development, data engineering, and MLOps infrastructure
- Excellent communication and collaboration skills and ability to translate technical concepts to non-technical stakeholders
- Extremely strong track record as an individual contributor
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Healthcare coverage is described as comprehensive across medical, dental, and vision, with flexibility to choose plans that fit individual or family needs. A monthly wellness stipend further supports physical and mental wellbeing expenses.
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Equity Value & Accessibility — Equity-based compensation is included in eligible packages, positioning ownership as a meaningful component of total rewards for many full-time roles. An employee stock purchase plan also provides an additional pathway to participate in potential upside.
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Leave & Time Off Breadth — Paid time off is positioned as generous with a flexible policy intended to support recharging and burnout prevention. Paid holidays and paid sick days are also part of the time-off offering.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
