Engineering Manager, Multimodal (api)

OpenAI OpenAI · AI Frontier · San Francisco, CA · Applied AI

Engineering Manager to lead a team responsible for delivering innovative multimodal API products, including real-time processing, speech transcription, speech generation, and image creation. The role involves owning the product roadmap, collaborating with research teams, and guiding technical decisions for scalability and robustness.

What you'd actually do

  1. Build, mentor, and grow a high-performing engineering team focused on multimodal API products – including our realtime API, our transcription models (Whisper), our speech generation models (TTS), and our image generation APIs (DALLE and native 4o).
  2. Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap.
  3. Work closely with our research teams to improve our core multimodal models for API customer use cases.
  4. Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience.
  5. Foster a culture of innovation, continuous improvement, and accountability within your team.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • multimodal API product suite
  • multimodal API offerings
  • multimodal AI
  • multimodal systems or APIs

Other signals

  • leading a team that ships multimodal API products
  • owning the product roadmap for multimodal API offerings
  • building products that allow developers to reach millions of end users through AI audio, video, and images