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Engineering Manager, Multimodal (API)

OpenAI · San Francisco

CHECKED 23H AGO

Frontier labonsitemanager$401k–$445k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead multimodal API suite for realtime, speech and image generation at scale.
  • Own roadmap evolving how developers reach millions via AI audio and visuals.
  • Partner with research to improve core multimodal models for API customers.

What they offer

  • Equity

Ideal candidate

An empathetic engineering leader who thrives in fast, ambiguous environments and is passionate about multimodal AI. You love mentoring teams and shaping developer products that scale to millions.

Requirements

  • Proven experience managing engineering teams that deliver complex, high-quality products at scale.
  • Strong technical background and proficiency in modern software engineering practices and system architecture.
  • Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders.
  • Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation.
  • Ability to operate effectively in a fast-paced, ambiguous startup environment.
  • Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription.
  • Familiarity with real-time streaming technologies, audio processing, and computer vision.
  • Hands-on experience with cloud platforms and distributed architectures.

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 ↗