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Scale AI

Supplies AI training data and builds AI apps

Technical Program Lead - Public Sector

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeWashington, DC, USA

About the Job

Requirements

  • An active Top Secret/Sensitive Compartmented Information clearance is required.
  • At least 7 years of experience succeeding in stakeholder management or a customer-facing role is required.
  • Experience leading or mentoring other program managers, engineers, or technical staff is required.
  • Demonstrated ownership of the technical delivery of a complex, multi-workstream program with senior government or enterprise stakeholders is required.
  • A technical background through education or professional experience in Computer Science, Economics, Statistics, or Engineering is required.
  • A deep understanding of the machine learning operations process is required.
  • Working knowledge of software delivery pipelines and DevOps principles is required.
  • A track record of structured, analytics-driven problem-solving is required.
  • Willingness to travel 25–50%, typically 1–2 weeks per month on-site with CONUS and OCONUS customers, is required.

Responsibilities

  • Lead and mentor a team of Technical Program Managers who own the program's key technical delivery areas, allocating scope, raising the technical bar, and unblocking them as they interface directly with stakeholders and end users.
  • Own the technical shape of what is delivered, determining how to combine and extend Scale's products for the program and what warrants a bespoke build.
  • Plan and sequence releases alongside engineering, anticipate technical risk early, and frame engineering trade-offs in terms stakeholders can decide on.
  • Serve as the senior technical voice to program stakeholders and users, translating operational needs into delivery decisions the team can execute.
  • Drive innovation and transformation by addressing technical and operational challenges, solving undefined problems, and delivering solutions for Public Sector customers.
  • Use technical concepts, tools, and expertise to create solutions from scratch or substantially improve existing solutions.
  • Use data, analytics, and technical expertise to align internal resources and create tools that add value to public sector customers.
  • Transition AI and machine learning technologies and processes into working Public Sector products and solutions, including when requirements are undefined or ambiguous.
  • Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to government use cases in computer vision and generative AI.
  • Set the technical direction for a cross-functional team of engineers, operations staff, and delivery staff to meet the customer's AI and machine learning objectives.
  • Manage the long-term health of the customer base by identifying and preempting areas of risk or concern.
  • Build for reuse by identifying program work that can generalize into durable capability and surfacing it to Product while maintaining the program's technical delivery goals.
  • Address engineering problems alongside product development teams.

Desired Qualifications

  • Experience in a Department of War or Intelligence Community operational environment, or supporting a combatant command.
  • Experience delivering a technical platform or product that other teams build on, including its integration, versioning, and support burden.
  • Hands-on fluency with Python, SQL, and modern AI and machine learning tools sufficient to interrogate data and prototypes directly.
  • Ten or more years of professional experience, often in a customer-facing technical program management role in industry or government.

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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