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Scale AI

Supplies AI training data and builds AI apps

Deployment Strategist - Space Systems Command

Account ManagementUpdated on Nov 7
Full-time

About the Job

Requirements

  • At least 7 years of experience across space operations, government acquisitions, complex enterprise IT sales, or defense business development; experience in the Space Force or Air Force space is especially valued.
  • A proven track record of closing and implementing multi-year deals and getting a line item into the budget.
  • Deep understanding of Space Force modernization priorities, including space domain awareness, ground and command-and-control modernization, resilient architectures, and applications of AI/ML, computer vision, and autonomy.
  • Demonstrated ability to move technology from a demonstration to deployed capability inside a major PEO or program office.
  • Existing relationships across SSC and the broader Space Force enterprise, and established contacts at major space primes and integrators.
  • Active Secret clearance required; TS/SCI is strongly preferred.
  • A BS or BA is required; a technical degree or MBA is preferred.
  • Based in the Los Angeles area and able to work on-site or with the customer three days a week; proximity to SSC at Los Angeles AFB is essential.
  • Ability to travel 20–30% of the time.

Responsibilities

  • Carry and exceed a multi-million-dollar annual revenue quota; own the full lifecycle from identifying top-of-funnel opportunities and shaping requirements through contract award and revenue recognition.
  • Personally draft white papers and SBIR/OTA responses, lead complex proposal development, architect deal structures, and navigate space acquisition.
  • Continue leading the account after deal signing, ensuring delivery teams enable mission success; serve as the primary point of contact and ensure pilots scale.
  • Own the long-term account strategy across SSC's PEOs, identify subsequent use cases, secure follow-on funding, and drive growth from an individual deployment to an enterprise standard.
  • Work directly with technical teams and operators to co-design Agentic AI workflows and translate mission problems into technical requirements engineers can implement.
  • In partnership with Scale's Partner Managers, manage and negotiate with Tier 1 Systems Integrators and space primes; lead negotiations on subcontracting and teaming agreements.

Desired Qualifications

  • TS/SCI clearance is strongly preferred.
  • A technical degree or MBA is preferred.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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