Engineering Manager, Frontier Data

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

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$212,000—$254,400 USD