Engineering Manager

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the development of AI modalities to pave the road to Artificial General Intelligence (AGI).

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

About the role:

The Frontier Data team builds datasets to enhance cutting edge LLM capabilities. The team partners closely with leading-edge research and development efforts from AI labs to scale up human data in new modalities.  Examples of current data products supported include agentic workflows, real-time audio data, and reinforcement learning environments.

Frontier Data supports the entire lifecycle of human data input for new modalities:

• Initial data architecture, prototyping, and definition
• Development of collection tooling, quality control, and management
• Operational scaling across thousands of expert human data collectors
• Performance evaluation frameworks to prove data efficacy
• Testing environments and benchmarking

As  Engineering Manager, you will manage the team of engineers and work closely with our customers, internal ML researchers, and operators to define, build, and support these data products.

Responsibilities:

• Manage the engineering team and drive technical delivery for Frontier Data
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Build features end-to-end: front-end, back-end, system design, debugging and testing
• Influence the culture, values, and processes of a growing engineering team
• Inspire and mentor less experienced engineers

Requirements:

• At least 5 years of relevant experience and at least 2 years of experience managing engineers 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
• Experience working on Agent-related products or research is a plus

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.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. 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. 

PLEASE NOTE: 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.