Member of Technical Staff, Agents

About the Role

Join a small, senior team building autonomous AI agents for executive productivity. You will develop new agent capabilities and create reliable ways to evaluate them, helping ensure that important real-world tasks are completed accurately before new capabilities reach users.

What You'll Do

• Build agents that complete delegated work end to end without requiring the user to check each step.

• Develop trustworthy evaluations that measure how accurately agents perform different tasks.

• Ship new agent capabilities in the tools people already use, supported by evidence that they are ready.

• Investigate production failures and deliver durable, validated fixes.

• Build large-scale failure detection to identify known patterns and unexpected issues.

• Improve agent recovery when a tool or website fails.

• Create repeatable workflows so engineers can measure whether agent changes improve performance.

What We're Looking For

• Approximately 2 to 11 years of relevant experience, including a few years in one role with demonstrated progression.

• Experience building or evaluating production AI or machine learning systems, especially agents or LLM-powered products.

• Strong Python skills and familiarity with Django, React, and TypeScript.

• Experience with evaluation and monitoring tools such as Braintrust or Raindrop is relevant.

• Comfort working across implementation, evaluation, and iteration in a fast-moving environment.

Compensation & Benefits

Salary range: $200,000 to $300,000 USD annually. Visa sponsorship is not available.

Location

Hybrid, with four days per week in the office in Palo Alto, California, United States.