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Engineering Manager, Connectivity

On-site
Scale AISan Francisco, CA, US / New York, NY, US2 days agoWebsite
Fresh
Manager / Lead
Gen AI Engineering

Compensation

$216,000-$270,000/yr
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Description

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise.

 

About our Connectivity team: 

Our Connectivity Team plays a pivotal role in integrating our platform with external systems and ensuring seamless, reliable connectivity for both internal users and customers. As the leader of this team, you’ll drive the strategy, architecture, and development of our connectivity solutions, focusing on API integration, distributed systems, and a robust data platform. Your role will be crucial in maintaining and enhancing our platform’s ability to meet the needs of both our internal and external stakeholders.

 

Responsibilities:

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

Requirements:

  • 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 be able to work independently or as part of a team.
  • Excited to join a dynamic, hybrid team in either San Francisco or New York City

Stack

Agentic AIDistributed Systems
Posted
Sep 15, 2026
Last seen
Sep 15, 2026
First seen
Sep 15, 2026

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