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BasetenBaseten

Technical Program Manager, Model Performance

Build and lead the Model Performance organization’s technical program framework, coordinating model releases, inference optimization, and cross-functional execution. The role requires deep technical program management experience and credibility with model-serving and performance engineering teams.

About the job

Responsibilities

  • Own execution across the Model Performance project portfolio, allowing technical leads to focus on technical direction.
  • Design and establish planning structures, operating cadences, and status-reporting mechanisms.
  • 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.
  • Surface risks and dependencies early and keep leadership informed with clear, accurate status.
  • Partner with engineering leads to design team structures and ownership boundaries as the organization scales.

Requirements

  • Deep technical program management experience running programs of comparable scope and complexity.
  • Experience program-managing model performance or inference optimization work.
  • Working knowledge of production serving engines and frameworks such as vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo.
  • Experience building zero-to-one program structures in ambiguous environments.
  • Ability to influence engineers, managers, and leadership without direct authority.
  • Excellent written and verbal communication skills, including the ability to explain highly technical programs to varied audiences.
  • High-agency decision-making, ownership, accountability, and execution.

Nice to have

  • Experience coordinating model release programs, including day-zero launches for large-scale models.
  • Prior hands-on software engineering experience.
  • Deep learning performance optimization experience in training or inference, preferably inference.

Compensation and benefits

  • Salary range: $165,000-$330,000, plus meaningful equity.
  • Medical, dental, and vision insurance fully covered for employees and dependents.
  • Flexible paid time off, including a company-wide winter break.
  • Paid parental leave.
  • Fertility and family-building stipend.
  • Company-facilitated 401(k).

Skills

Technical Program Management, Model Performance, Inference Optimization, vLLM, Tensorrt-Llm, Sglang, Nvidia Dynamo, Model Releases, Deep Learning, Software Engineering, Production Serving

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