Engagement Manager (Hawaii), Public Sector

Scale AI

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profile Job Location:

Honolulu, HI - USA

profile Monthly Salary: $ 166400 - 249000
Posted on: 5 days ago
Vacancies: 1 Vacancy

Job Summary

Scale AI is at the forefront of the AI revolution helping the U.S. government unlock the potential of AI across national security missions. Were building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

Were 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 Scales engineering team will build and you will ultimately refine
  • Lead a cross-functional project team to deliver on and exceed the customers 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 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 in locations throughout the Oahu area 4 days per week and able to travel at least 25% of the time (as needed)

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 determined by work location and additional factors including job-related skills experience 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. Youll 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 Honolulu Hawaii is:

$166400 - $249000 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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Cisco DLA Piper 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 Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors 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 for additional information.


Required Experience:

Manager

Scale AI is at the forefront of the AI revolution helping the U.S. government unlock the potential of AI across national security missions. Were building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.Were hiring an engagement manager (EM) to lead...
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Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

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