Member of Technical Staff, Agents

About the Role

Join a small, senior team building autonomous AI agents for executive workflows. You will develop agent capabilities and evaluation systems that help ensure real-world tasks are completed reliably, with measurable improvements reaching users quickly.

What You'll Do

• Build agents that complete delegated work end to end, without requiring users to check each step.

• Define measurable success criteria and trusted ways to assess agent performance across tasks.

• Develop and evaluate new agent capabilities before releasing them to users.

• Investigate production failures and deliver durable fixes based on their underlying causes.

• Build systems to detect known failure patterns and less predictable issues at scale, using tools such as Braintrust and Raindrop.

• Improve agent recovery when tools or websites fail.

• Create repeatable evaluation workflows that let engineers measure whether changes improve agent performance.

What We're Looking For

• At least 3 years of data science or machine learning experience building evaluation systems, metrics, or product quality measurement.

• Production-quality Python and SQL skills for analysis, large datasets, and automated pipelines.

• Experience designing evaluation frameworks, representative datasets, meaningful metrics, and realistic end-to-end simulations.

• A track record delivering production AI, ML, agent, or agent-evaluation systems for real users and measuring their impact.

• Experience improving agent reliability, owning systems end to end, and using statistics and experiment design to evaluate changes.

• Familiarity with post-training, fine-tuning, or reinforcement learning is useful.

• Experience with Django, React, and TypeScript; the role also uses Python, SQL, Braintrust, and Raindrop.

• Demonstrated progression and sustained experience in a role, with comfort working in a fast-moving, ambiguous environment.

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is not available.

Location

On-site in Palo Alto, California.