Scale AI
Engagement Manager (Cyber), Public Sector
Scale AI, Washington, District of Columbia, us, 20022
Engagement Manager (Cyber), Public Sector
Washington, DC Scale AI is at the forefront of the AI revolution, helping the U.S. government and allied partners unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows in the cyber domain for a national security customer. As an EM on our public sector delivery team, you own the account plan, manage day‑to‑day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast‑moving, ambiguous, and mission‑driven environments. You will:
Manage customer relationships from the executive to the end user Be onsite with national security customers to scope agentic workflow use cases that Scale’s engineering team will build and refine Lead a cross‑functional project team to deliver on and exceed the customer’s AI/ML objectives Lead with a “whatever‑it‑takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves:
An active Top Secret security clearance (required) 5+ years of experience in program management or customer‑facing role Willingness to be onsite with the customer in the Washington DC area 4 days per week and able to travel at least 25% of the time (as needed) High cross‑functional influence and EQ Excellent communication and presentation skills with external stakeholders A history of diligence and organization across multiple work streams Passion for solving complex challenges and building efficient AI systems by leveraging agents A basic understanding of ML operations and an aptitude to develop mastery on generative AI workflows / products Ideally, you’d have:
Technical degree in computer science, engineering, or related field Experience in the cybersecurity sector, within or in collaboration with a government institution Experience operating in a fast‑paced startup environment or defense tech company Compensation: $187,000 – $234,300 USD base salary. The range reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potential commuter stipend. 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. 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. Our policy requires a 90‑day waiting period before reconsidering candidates for the same role.
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Washington, DC Scale AI is at the forefront of the AI revolution, helping the U.S. government and allied partners unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows in the cyber domain for a national security customer. As an EM on our public sector delivery team, you own the account plan, manage day‑to‑day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast‑moving, ambiguous, and mission‑driven environments. You will:
Manage customer relationships from the executive to the end user Be onsite with national security customers to scope agentic workflow use cases that Scale’s engineering team will build and refine Lead a cross‑functional project team to deliver on and exceed the customer’s AI/ML objectives Lead with a “whatever‑it‑takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves:
An active Top Secret security clearance (required) 5+ years of experience in program management or customer‑facing role Willingness to be onsite with the customer in the Washington DC area 4 days per week and able to travel at least 25% of the time (as needed) High cross‑functional influence and EQ Excellent communication and presentation skills with external stakeholders A history of diligence and organization across multiple work streams Passion for solving complex challenges and building efficient AI systems by leveraging agents A basic understanding of ML operations and an aptitude to develop mastery on generative AI workflows / products Ideally, you’d have:
Technical degree in computer science, engineering, or related field Experience in the cybersecurity sector, within or in collaboration with a government institution Experience operating in a fast‑paced startup environment or defense tech company Compensation: $187,000 – $234,300 USD base salary. The range reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potential commuter stipend. 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. 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. Our policy requires a 90‑day waiting period before reconsidering candidates for the same role.
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