Engineering Manager, Agent Oversight
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 15H AGO
Infrastructureonsitemanager
At a glance
Highlights
- Lead platform for monitoring and improving agentic apps in production.
- Define industry standard for dependable production-grade agentic AI.
- Platform already powers deployments for enterprise and government customers.
Ideal candidate
A customer-obsessed engineering leader who loves building production-grade AI platforms and mentoring multidisciplinary teams to define reliable agentic AI at scale.
Requirements
- 7+ years of engineering experience, including 2+ years directly managing engineers or ML engineers responsible for a production ML/LLM-powered system
- Hands-on familiarity with agent architectures — tool use, planning, multi-agent orchestration
- Ability to review ML experiment design and evaluation methodology and earn credibility with ML engineers and scientists
- Track record owning full lifecycle of platform-level infrastructure from design through scaling across teams
- Experience collaborating with product, forward-deployed teams, and customers to translate requirements into shipped capabilities
- Track record of building and growing high-performing engineering teams including hiring and retention
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta