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Baseten

Runs AI models for production software

Technical Program Manager - Model Performance

Program ManagementConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • The candidate must have deep technical program management experience and already be running programs of this scope at an organization of similar or greater complexity.
  • The candidate must have experience program-managing model performance or inference optimization work and understand how engines such as vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo fit into a production serving stack well enough to engage credibly with engineers.
  • The candidate must be comfortable with ambiguity and zero-to-one program building, rather than only executing an existing framework.
  • The candidate must be able to influence engineers, managers, and leadership without authority over them.
  • The candidate must have written and verbal communication skills sufficient to make deeply technical programs legible to any audience.
  • The candidate must demonstrate high-agency decision-making, ownership, accountability, and a strong desire to get things done.

Responsibilities

  • Own execution across Model Performance's active project portfolio, freeing technical leads to focus on technical direction rather than tracking.
  • Design and establish planning structures, operating cadences, and status-reporting mechanisms suited to the team.
  • Coordinate model release and optimization programs end to end, including day-zero launches and sequencing work across performance engineering, infrastructure, 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 organization scales.

Desired Qualifications

  • Experience coordinating model release programs, including day-zero launches, ideally for large-scale models.
  • A prior hands-on software engineering background.
  • A deep learning performance optimization background in training or inference, with inference preferred.

About the Company

Baseten

Runs AI models for production software

Baseten runs AI models for software companies that need fast, reliable responses inside their products, from text generation to speech and image processing. Its Inference Stack combines optimized model runtimes with infrastructure that deploys, serves, and monitors custom or open models in production. Teams package models with its open source Truss tool, while Model APIs let developers test ready-to-use models and Training runs jobs that adapt models to their own data. Customers pay for computing time or tokens processed, with negotiated plans for larger deployments and support needs. Baseten was founded in 2019 and is headquartered in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2019

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