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Technical Program Manager, Multimodal

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsite$207k–$445k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build flywheel turning real multimodal usage into rapid product improvements.
  • Own voice and image-generation launches end-to-end at global scale.
  • Close research-to-production gaps for reliable ChatGPT experiences.

What they offer

  • Equity
  • Relocation assistance

Ideal candidate

Systems-minded technical program leader who thrives in ambiguity and turns messy production signals into durable mechanisms. You care about shipping reliable multimodal products and aligning research, engineering, and partners around measurable user impact.

Requirements

  • Led technically complex programs across ML, multimodal products, evaluation, data pipelines, inference, capacity, or large-scale infrastructure
  • Ability to move between user-facing product behavior and underlying model, evaluation, configuration, serving and capacity systems
  • Built mechanisms converting production signals into evaluations, data, engineering work and measurable improvements
  • Can reason about GPU demand, serving constraints, latency, reliability, quality and launch tradeoffs
  • Experience closing research-to-production gaps and driving structured debugging and validation
  • Lead effectively across research, engineering, product, operations and external partners without direct authority
remote policy
Hybrid - 3 days in office per week

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗