Technical Program Manager, Forward Deployed Engineering

present of AI; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

Baseten is seeking a Technical Program Manager for Forward Deployed Engineering in San Francisco, with remote flexibility. You will coordinate engineers who work directly with customers to deploy and tune ML models in production, ensuring deployments stay on track and risks are surfaced early.

Success requires fluency in ML infrastructure, program management across parallel customer engagements, and clear communication between engineering, sales, and customers.

Qualifications

• Experience with ML infrastructure, program management across parallel customer engagements, and clear communication between engineering, sales and customers.

Responsibilities

• Coordinate engineers who work directly with customers to deploy and tune models in production.
• Keep deployments of open source and custom models moving on schedule and surface risks early.

Job description

Technical Program Manager, Forward Deployed Engineering

Customer & Solutions · San Francisco · Remote · FullTime

A technical program manager for a forward deployed engineering team usually coordinates engineers who work directly with customers to deploy and tune models in production. Strong candidates bring a mix of technical fluency in machine learning infrastructure, program discipline across many parallel customer engagements, and clear communication between engineering, sales and customers. At a cloud inference company, that means keeping deployments of open source and custom models moving on schedule and surfacing risks early.

How it fits the AI era

AI shifts much of the routine coordination work, such as status tracking and documentation, toward automation, so the program manager spends more time on judgment calls, tradeoffs and unblocking people. Model deployment keeps changing fast, so the role leans on translating messy customer needs into clear engineering plans. The human parts, building trust with customers and engineers and making decisions with incomplete information, stay central.

How it builds AI experience

This role builds hands on familiarity with how AI models are served, scaled and tuned in production, and with the tooling around inference. Experience with model deployment workflows, evaluation and monitoring, or developer platforms transfers well. A practical way to build it is to run open source models end to end and learn where deployments break.

Worth showing

• Cross team coordination
• Inference infrastructure basics
• Risk tracking and planning

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Baseten

High-performance cloud inference platform for deploying, serving, and scaling open-source and custom artificial intelligence models.