Engineering Manager, Mulitimodal (API) at OpenAI

San Francisco, California, United States

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$325,000 – $405,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

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
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

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
Own the product roadmap for evolving multimodal API offerings and build products that allow developers to reach millions of end users through AI audio, video, and images

Skills

Key technologies and capabilities for this role

Engineering ManagementTeam MentoringProduct RoadmapSystem ArchitectureScalabilityRealtime APIWhisperTTSDALL-EImage GenerationMultimodal APIs

Questions & Answers

Common questions about this position

What is the salary range for the Engineering Manager role?

The salary range is $325K - $405K.

Is this role remote or in-office?

This role is in-person at the San Francisco office.

What skills are required for this Engineering Manager position?

Required skills include proven experience managing engineering teams that deliver complex products at scale, strong technical background in software engineering and system architecture, excellent collaboration and communication skills, familiarity with multimodal AI, and ability to thrive in a fast-paced environment.

What is the team culture like at OpenAI for this role?

The role involves fostering a culture of innovation, continuous improvement, and accountability within a high-performing engineering team focused on multimodal API products.

What makes a strong candidate for this Engineering Manager position?

Strong candidates have experience developing multimodal systems or APIs in AI/ML, familiarity with real-time streaming, audio processing, computer vision, and hands-on experience with cloud platforms and distributed architectures.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees