Engagement Manager, Public Sector

Reposted 10 Hours Ago
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Hampton, VA, USA
In-Office
166K-249K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Engagement Manager will manage customer relationships, lead project teams, and deliver AI solutions for national security, ensuring customer success.
Summary Generated by Built In

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 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 for a national security customer. As an EM on our public sector delivery team, you will own or support a large 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 agentic workflow use cases that Scale’s engineering team will build and you will ultimately 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
 

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
  • 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
  • A track record of structured, analytics-driven problem solving
  • Excellent verbal and written communication skills
  • Willingness to be onsite with customers 4+ days per week in the Suffolk, VA area with occasional travel (less than 25%) to Scale’s DC office
 

We have a diverse team with a variety of skill sets, many have:

  • 10+ years of professional experience, often in a customer-facing technical program management role in industry or government
  • Prior experience at an API technology company and / or managing technical customers using an API
  • A technical degree in computer science, engineering, or related field
  • Proficiency in Python, SQL or other programming languages
  • Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

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 Maryland/Florida/Arizona/Virginia is:
$166,400$249,000 USD

PLEASE 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 [email protected]. 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

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.

Skills Required

  • Active TS/SCI clearance
  • 5+ years of experience in stakeholder management or a customer-facing role
  • Track record of structured, analytics-driven problem solving
  • Excellent verbal and written communication skills
  • Willingness to be onsite with customers 4+ days per week
  • 10+ years of professional experience in customer-facing technical program management role
  • Prior experience at an API technology company
  • Technical degree in computer science or engineering
  • Proficiency in Python or SQL
  • Domain expertise in modeling and simulation or intelligence workflows

Scale AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.

  • Healthcare Strength Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
  • Leave & Time Off Breadth Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
  • Equity Value & Accessibility Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.

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The Company
HQ: San Francisco, CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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