Engineering Manager, Customer Platform (GenAI)

Engg

San Francisco, New York (CA, NY)

Hybrid

USD 216,000 - 270,000

Full time

6 days ago
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Benefits offered by this job

Health Insurance
Dental Insurance
Vision Insurance
Retirement Benefits
Learning & Development Stipend
Generous PTO
Commuter Stipend

Job summary

Scale is seeking a senior platform engineer on the Customer Platform team to own large sections of our product and drive end-to-end feature development. You will ship across frontend, backend, and data systems, collaborating with internal and external customers to ensure reliable connectivity and high quality experiences.

Ideal candidates have 7–10 years of relevant experience, a track record of scaling products, and thrive in a fast-paced environment.

Qualifications

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

Responsibilities

  • Own large areas within our product.
  • Collaborate cross-functionally with internal or 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 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 design and ship new features.

Job 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 Customer Platform team: Our Customer Platform 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.
  • Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

  • You’ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
  • Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Please see our privacy policy for additional information.

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