Scale's public sector business is rapidly expanding, driven by our AI-powered decision-making platform and data labeling services for the Federal government and its customers. We are seeking a hands-on Mission Engineering Manager to lead our mission software engineering team and field engineers in the delivery of our capabilities to our customers. This role requires a deep understanding of the Federal government and its customers.
As a Mission Engineering Manager at Scale, you will balance your time between technical product planning in the context of customer engagements, coding, and managing a growing team (6-8 engineers). Your responsibilities will include hiring, training, and leading a high-performing engineering team, ensuring successful outcomes for our public sector customers. You will provide technical leadership and mentorship, drive engineering productivity, and collaborate with cross-functional teams to define and execute to drive value for our customers. You will navigate complex public sector compliance requirements, tailor our capabilities to customer requirements, and develop integrations with legacy federal information systems to deliver real impact for mission owners.
This role requires someone with a TS/SCI clearance who can commute to our DC office twice a week, travel to customer sites, and attend events. If you have a strong engineering background, experience in delivering software in customer environments, and a passion for AI technologies in the public sector, we invite you to join us in shaping the future of Scale AI's Federal business.
Must be able to commute to DC office two times per week:
Day to day:
- 50% Software engineering - customer technical requirement elicitation, technical product planning, and coding
- 50% Managing a growing team.
You will:
- Recruit a high-performing engineering team.
- Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects.
- Collaborate with cross-functional teams to deliver on customer requirements.
- Navigate and deliver outcomes while navigating complex public sector compliance requirements and frameworks.
- Design and implement software solutions 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.
- Provide technical leadership for 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.
- An active TS/SCI clearance
Ideally you’d have:
- 8+ years of full-time engineering experience, post-graduation.
- 4+ years of prior engineering management or equivalent experience and has managed an engineering team.
- Experience in Department of Defense and/or Intelligence Community 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:
- Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team.
- Experience with AI platforms and technologies, including generative models and LLMs.
- Previous experience in government or government-facing technology roles.
- Experience with cloud-native technologies, full stack development, data engineering, and MLOps 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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
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