Engagement Manager (Computer Vision), Public Sector

Engagement Manager (Computer Vision), Public Sector Washington, DC Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade computer vision solutions and delivering them into operational use cases that matter. We’re hiring an Engagement Manager (EM) to lead and coordinate delivery of computer vision workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a customer 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, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. Responsibilities Manage customer relationships from the executive to the end user Work alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refine Lead or support 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 Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain Qualifications Technical background (education or professional experience with computer science, economics, statistics, engineering) Proven track record in B2B client‑facing roles and expanding client relationships Prior experience owning the technical implementation of solutions to the government Must‑haves Active TS/SCI clearance 3+ years of work experience succeeding in stakeholder management or a customer‑facing role delivering enterprise‑scale applications / solutions Deep understanding of ML operations process Track record of structured, analytics‑driven problem solving Excellent verbal and written communication skills Willingness to be onsite with customers up to 4 days per week in the DMV area and/or prepared to travel a minimum of 25% Compensation 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. The base salary range for this full‑time position in the location of Washington DC is: $187,200 - $234,000 USD Equal Employment Opportunity 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 View email address on click.appcast.io. Please see the United States Department of Labor's Know Your Rights poster for additional information. 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