[Remote] Technical Program Manager, Model Performance
Note: The job is a remote job and is open to candidates in USA. Baseten powers mission-critical inference for dynamic AI companies by combining applied AI research, flexible infrastructure, and developer tooling. The Technical Program Manager will establish and lead the Model Performance organization’s first program framework, overseeing project execution, model release and optimization programs, cross-functional alignment, risk management, and scaling team structures.
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
Skills
- 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
Benefits
- Meaningful equity
- 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
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Company Overview
Company H1B Sponsorship