Engagement Manager (Computer Vision), Public Sector

Engagement Manager (Computer Vision), Public Sector

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.

You will:

• 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

We 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 relationships
• Prior experience owning the technical implementation of solutions to the government 

Must haves:

• An active TS/SCI clearance
• 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
• A deep understanding of ML operations process
• A 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%