Technical Program Manager, Model Performance
Listed by employer · Checked
Posted within 60 days ·
- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- USD 165,000–330,000 1 YEAR
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Choose a country to check geographic compatibility. The source requirements are available below.
This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
1 with evidence8 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 165,000–330,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
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).
No similar roles found yet — browse all baseten jobs.
