# Engineering Manager, Multimodal (API)

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $293k – $385k/yr
**Skills:** Python, Kubernetes, AWS, GCP, Docker, REST APIs, Real-Time Streaming, Audio Processing, Computer Vision, Distributed Systems
**Posted:** 2026-04-20

> Leads engineering team building multimodal APIs for real-time processing, speech (Whisper/TTS), and image generation (DALL-E/4o). Owns product roadmap, collaborates with research/product teams, and drives scalable architecture in fast-paced environment. Requires strong management experience and multimodal AI familiarity.

## Job Description

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

## Qualifications
- 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.

## Preferred Qualifications
- 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.

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