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As Engineering Manager for Agent Oversight, you'll lead the team building our platform for monitoring, evaluating, and improving agentic applications across enterprise and government customers. Agent development tooling is still nascent industry-wide, and we're building the platform to close that gap — covering deployment, monitoring, evaluation, ML-driven improvement, and continuous learning, so agents get better over time. You'll manage the engineering team, drive technical delivery, and work cross-functionally with customers and internal partners to bring these capabilities to production, with the ambition of setting the industry standard for how agentic applications are monitored and improved. Our platform already powers agent deployments for multiple enterprise and government customers. This is a US-based team with members across New York and San Francisco, and you'll help define and grow the team as we scale.
You will:
Lead a multi-disciplinary team of software and ML engineers to drive technical delivery across the Scale Generative AI Platform (SGP)
Own the platform's roadmap across deployment, monitoring, evaluation, and ML-driven improvement of agentic applications
Work cross-functionally with customers, forward deployed teams, product, and internal engineering teams to translate enterprise and government requirements into platform capabilities
Build and ship features end-to-end, from system design through debugging and testing
Drive high-velocity experimentation to validate and improve platform capabilities based on real customer usage
Establish the technical direction, culture, and processes for a fast-growing team
Mentor and develop both engineers and ML engineers/scientists, and influence how the team scales technically and organizationally
As Engineering Manager for Agent Oversight, you'll lead the team building our platform for monitoring, evaluating, and improving agentic applications across enterprise and government customers. Agent development tooling is still nascent industry-wide, and we're building the platform to close that gap — covering deployment, monitoring, evaluation, ML-driven improvement, and continuous learning, so agents get better over time. You'll manage the engineering team, drive technical delivery, and work cross-functionally with customers and internal partners to bring these capabilities to production, with the ambition of setting the industry standard for how agentic applications are monitored and improved. Our platform already powers agent deployments for multiple enterprise and government customers. This is a US-based team with members across New York and San Francisco, and you'll help define and grow the team as we scale.
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You will:
Lead a multi-disciplinary team of software and ML engineers to drive technical delivery across the Scale Generative AI Platform (SGP)
Own the platform's roadmap across deployment, monitoring, evaluation, and ML-driven improvement of agentic applications
Work cross-functionally with customers, forward deployed teams, product, and internal engineering teams to translate enterprise and government requirements into platform capabilities
Build and ship features end-to-end, from system design through debugging and testing
Drive high-velocity experimentation to validate and improve platform capabilities based on real customer usage
Establish the technical direction, culture, and processes for a fast-growing team
Mentor and develop both engineers and ML engineers/scientists, and influence how the team scales technically and organizationally
Data labeling and AI infrastructure platform providing high-quality training data for machine learning and generative AI applications.
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