Technical Program Manager, Model Performance

The Model Performance organization at Baseten is looking to hire our first Technical Program Manager. This is a zero-to-one role in a team that is responsible for building the core algorithms and methods that power Baseten’s high performance inference stack. You won't inherit an existing program framework, you'll build one from the ground up: the planning structure, execution processes, metrics and the cross-functional alignment that a fast-growing organization needs. Your contributions will directly impact how fast our performance R&D gets productized. If you can drive turning a set of ambitious but loosely defined initiatives into a predictable, well-governed program, this role is for you.

Take a look at these blog posts written by members of our Model Performance team:

• How to build a day-0 API for Kimi K3 https://www.baseten.co/blog/how-to-build-a-day-zero-api-for-kimi-k3/
• How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/
• Inference engineering for DeepSeek V4 Pro 0813 https://www.baseten.co/blog/inference-engineering-for-deepseek-v4-pro-0813/
• Own execution across Model Performance's active project portfolio, freeing the team's technical leads to focus on technical direction rather than tracking.
• Design and stand up the planning structures, operating cadences, and status reporting mechanisms that best fits the team’s DNA.
• Coordinate model release and optimization programs end to end, including day-zero launches, sequencing the work across performance engineering, infra, and release stakeholders.
• Drive cross-team alignment as scope expands from Model Performance Core into Model APIs and the inference production stack (BIS).
• Surface risks and dependencies early, and keep leadership informed with clear, honest status.
• Partner with engineering leads to design team structures and ownership boundaries as the org scales.
• Deep technical program management experience - you're already running programs of this scope at an organization of similar or greater complexity.
• Experience program-managing model performance or inference optimization work - you understand how engines like vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo fit into a production serving stack and can engage credibly with the engineers building on them.
• Demonstrated comfort with ambiguity and zero-to-one program building, not just executing an existing framework.
• Proven ability to influence without authority across engineers, managers, and leadership who don't report to you.
• Excellent written and verbal communication, with the ability to make deeply technical programs legible to any audience.
• High agency decision making that demonstrates ownership, accountability and a strong desire to get things done.
• Experience coordinating model release programs, including day-zero launches (ideally for large-scale models).
• Prior hands-on software engineering background.
• Deep learning performance optimization background, in training or inference, with inference preferred.
• Paid parental leave
• Company-facilitated 401(k)