Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 4
Communication @ 6
Computer Vision @ 3
Machine Learning
System Architecture @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI's API is an AI platform supporting multimodal applications, including real-time interactions, text-to-speech, speech generation, transcription, and image generation. The Engineering Manager will lead the multimodal API product suite and own the product roadmap for evolving these offerings, enabling developers to reach millions of end users through AI audio, video, and images.
Responsibilities
- Build, mentor, and grow a high-performing engineering team focused on multimodal API products, including the Realtime API, Whisper transcription models, text-to-speech models, and DALL·E and native GPT-4o image generation APIs.
- Collaborate 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 with an emphasis on scalability, robustness, and user experience.
- Foster a culture of innovation, continuous improvement, and accountability.
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 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, particularly 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.
Benefits
- Base salary of $293,000–$385,000 per year, plus equity and performance-related bonuses for eligible employees.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax Flexible Spending Accounts and commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
This role is in-person at OpenAI's San Francisco office. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
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