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Engineering Manager, Customer Platform (GenAI)

Scale AI· Gen AI Engineering
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Hybrid (San Francisco, CA), Hybrid (New York, NY)$216k - $270kFull-timePosted 1mo ago

About the role

Engineering Manager leading Scale's Customer Platform team, focusing on API integration, distributed systems, and a robust data platform to connect external systems and internal users/customers. Responsible for strategy, architecture, development, and mentoring within a fast-paced hybrid work environment in San Francisco or New York City.

Responsibilities

  • Own large areas within our product
  • Cross-functional collaboration with internal and external customers
  • Build features end-to-end: front-end, back-end, system design, debugging and testing
  • Deliver experiments at high velocity and quality to engage customers
  • Work across the entire product lifecycle from conceptualization through production
  • Influence culture, values, and processes of a growing engineering team
  • Inspire and mentor less experienced engineers
  • Collaborate with cross-functional teams to define, design, and ship new product features and experiences.

Qualifications

  • At least 7-10 years of relevant experience is preferred
  • Track record of shipping high-quality products and features at scale
  • Desire to work in a very fast-paced environment
  • Ability to turn business and product ideas into engineering solutions
  • Excellent problem-solving skills, and ability to work independently or as part of a team
  • Excited to join a dynamic, hybrid team in either San Francisco or New York City

Skills

Required:Product leadershipSystem designAPI integrationMentoring
Nice to have:Distributed systems

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend (optional)
Last updated Sep 23, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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