Engagement Manager (Computer Vision), Public Sector

Engagement Manager (Computer Vision), Public SectorScale 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.You will:Manage customer relationships from the executive to the end userWork alongside customers to scope computer vision use cases that Scale’s engineering team will build and you will ultimately refineLead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectivesLead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer successOversee onboarding and successful implementation of customer accountsPartner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domainWe have a diverse team with a variety of skill sets, many have:A technical background (education or professional experience with computer science, economics, statistics, engineering)A proven track record in B2B client-facing roles and expanding client relationshipsPrior experience owning the technical implementation of solutions to the government Must haves:An active TS/SCI clearance3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutionsA deep understanding of ML operations processA track record of structured, analytics-driven problem solvingExcellent verbal and written communication skillsWillingness 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 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 USDPLEASE 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 View email address on click.appcast.io. 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. 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