Engineering Manager (Donovan), Public Sector

Scale's public sector business is rapidly expanding, driven by the increasing demand for Donovan, our AI-powered decision-making platform for the Federal government and its customers. At Scale, we are delivering the most advanced, mission-ready Al capabilities. We are seeking a hands-on Software Engineering Manager to lead our software engineering team in the continued development of Donovan. This role requires a deep understanding of the Federal government and its customers. 

As a Software Engineering Manager at Scale, you will balance your time between technical product planning, 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 our strategic roadmap. You will navigate complex public sector compliance requirements, design and implement scalable backend systems and develop distributed systems and machine learning infrastructure to deliver real impact for mission owners. This role requires someone with a TS/SCI clearance who can commute to our DC office (Or NYC/SF office) twice a week. If you have a strong engineering background, experience in scaling products, 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 (Open to NYC or SF) two times per week:

Day to day:

• 50% Software engineering - 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. 
• 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
• Currently hold a TS/SCI clearance

Ideally you’d have:

• 4+ years of full-time engineering experience, post-graduation
• 1+ year 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:

• 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