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. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to a
Responsibilities
Manage the engineering team and drive technical delivery
Comfortable working cross functionally, whether that be internal or external customers
Work across the entire 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 level of quality to engage our customers
Influence the culture, values, and processes of a growing engineering team
Inspire and mentor engineers
Collaborating with cross-functional teams to define, design, and ship new product features and experiences
Requirements
At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred
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 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.
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:
$252,000 - $315,000 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.
Benefits
Health insuranceDental insuranceVision insurancePaid time offFlexible scheduleEquity / stock options
Additional Information
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 abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About our AgentOps team:
The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry.
Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs.
With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time.
We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain.
Scale Ai · San Francisco, CA