Engineering Manager, Agent Oversight

Scale AI; United States; On-site; USD 216,200 - 270,250; Full time

Benefits offered by this job

Comprehensive health coverage

Dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Job summary

A leading AI company in the United States is seeking an Engineering Manager, AgentOps to oversee engineering operations and drive product delivery. The ideal candidate has at least 5 years of experience, including 2 years in a management role, and is excited to thrive in a fast-paced environment. The position offers a competitive salary along with equity and comprehensive benefits.

Qualifications

• At least 5 years of relevant experience and preferably 2 years of managing engineers.
• Proven success in leading, managing, and developing high-performing engineering teams.
• Expertise in identifying product engagement patterns and trends for large-scale consumer products.

Responsibilities

• Manage the engineering team and drive technical delivery.
• Work cross-functionally with internal and external customers.
• Own the product lifecycle from conceptualization through production.
• Build features end-to-end: back-end, system design, debugging, and testing.
• Deliver experiments at a high velocity and quality to engage our customers.

Skills

Leadership

Problem-solving

Team collaboration

Product management

Technical delivery

Job description

Join to apply for the Engineering Manager, AgentOps role at Scale AI.

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 expanding the abundance of frontier data to pave the road to Artificial General Intelligence (AGI).

About the AgentOps team

The vision for the AgentOps team is to build the best Agent Development Platform in the AI industry. We aim to create an opinionated but flexible platform that supports agent lifecycles—including building, deploying, monitoring, evaluating, and improving agents to solve customer needs. By enabling verifiable RL workflows and knowledge capture, we strive to create a virtuous data flywheel that continuously enhances agent performance and customer value.

Responsibilities

• Manage the engineering team and drive technical delivery.
• Work cross‑functionally with internal and external customers.
• Own the product lifecycle from conceptualization through production.
• Build features end‑to‑end: back‑end, system design, debugging, and testing.
• Deliver experiments at a high velocity and quality to engage our customers.
• Influence the culture, values, and processes of a growing engineering team.
• Inspire and mentor engineers.
• Collaborate with cross‑functional teams to define, design, and ship new product features and experiences.

Requirements

• At least 5 years of relevant experience and preferably 2 years of managing engineers.
• Proven success in leading, managing, and developing high‑performing engineering teams.
• Expertise in identifying product engagement patterns and trends for large‑scale consumer products.
• 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 the 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.

Compensation & Benefits

Base salary range: $216,200—$270,250 USD (dependent on location). Compensation includes base salary, equity, and benefits such as comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and, where applicable, a commuter stipend.

We are proud to be an inclusive and equal opportunity workplace. Scale is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, veteran status, or any other protected characteristic. We provide reasonable accommodations to applicants with physical and mental disabilities. If you need assistance, please contact us at [e-mail].