Level

Baseten

Technical Program Manager, Model Performance

Baseten is hiring a Technical Program Manager, Model Performance for a remote role open to applicants in United States. It pays $165k-$330k a year and Level rates it ; you can apply on Baseten.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Deepseek, vLLM and Cursor among its tools and skills.
  • Level classes it as a senior role.
  • Baseten has 106 other open roles on Level.

AI in this role

Lead technical program management for Baseten's model performance and high-performance inference infrastructure team.

deepseekvllmcursorclay
ai-researchprogram-managementcross-functional-leadershipinferencemodel-performance

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

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.

EXAMPLE INITIATIVES

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

RESPONSIBILITIES

  • 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.

REQUIREMENTS

  • 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.

NICE TO HAVE

  • 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.

BENEFITS

  • Competitive compensation, including meaningful equity

  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • (U.S. only) Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

How we rate this

Technical Program Manager, Model Performance at Baseten rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchProgram ManagementCross Functional LeadershipInferenceModel PerformanceDeepseekvLLMCursor

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where program management was part of your work. What did you do?
  3. Tell me about a project where cross functional leadership was part of your work. What did you do?
  4. Tell me about a project where inference was part of your work. What did you do?
  5. Tell me about a project where model performance was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Research, Program Management, Cross Functional Leadership, Inference, and Model Performance. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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