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Scale AI

Supplies AI training data and builds AI apps

Technical Program Manager - Public Sector

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeWashington, DC, USA

About the Job

Requirements

  • An active Top Secret/Sensitive Compartmented Information clearance is required; a Full Scope Polygraph is preferred.
  • At least 3 years of experience succeeding in stakeholder management or a customer-facing role.
  • A technical background through education or professional experience in Computer Science, Economics, Statistics, or Engineering.
  • A deep understanding of the machine learning operations process.
  • A track record of structured, analytics-driven problem-solving.
  • Excellent verbal and written communication skills.
  • Ability to be forward deployed and willingness to travel at least 33% of the time.
  • Many team members have 10 or more years of professional experience, often in a customer-facing technical program management role in industry or government.
  • Many team members have prior experience at an API technology company and/or managing technical customers using an API.
  • Many team members have proficiency in Python, SQL, or other programming languages.

Responsibilities

  • 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 direct value to customers in the public sector.
  • Transition artificial intelligence and machine learning technologies and processes into working Public Sector products or solutions 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.
  • Lead a cross-functional team to exceed the customer’s AI/ML objectives.
  • Manage the long-term health of the customer base by identifying and preempting areas of risk or concern.
  • Identify ways to make customer success repeatable and solve issues for future customers.
  • Address engineering problems alongside product development teams.

Desired Qualifications

  • A Full Scope Polygraph is preferred.
  • Willingness to travel 50% of the time 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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