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Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!

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Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Engineering Manager, Multimodal (API) at OpenAI - San Francisco, CA

Join OpenAI as an Engineering Manager, Multimodal (API) in San Francisco and lead the future of AI innovation. OpenAI's API platform powers the world's most advanced multimodal AI capabilities, from real-time interactions to text-to-speech, speech generation, and stunning image creation with models like Whisper, TTS, DALL-E, and native 4o. This senior-level role offers a chance to manage a high-impact team shaping how developers build scalable AI applications reaching millions.

Role Overview

As Engineering Manager for Multimodal APIs at OpenAI, you'll spearhead a team responsible for the industry's leading AI platform. Our multimodal APIs enable startups, indie developers, and Fortune 500 companies to harness diverse AI modalities at scale. You'll own the product roadmap, driving innovations in real-time processing, speech transcription (Whisper), speech generation (TTS), and image generation (DALL-E and 4o). Based in our San Francisco office, this in-person role demands a leader who thrives in ambiguity, scales teams, and delivers products that redefine AI accessibility.

OpenAI's mission—to ensure AGI benefits humanity—guides every decision. Your work will directly impact how AI audio, video, and images empower global users, making advanced capabilities available through simple, robust APIs.

Key Responsibilities

  • Build, mentor, and grow a high-performing engineering team specializing in multimodal API products like realtime API, Whisper transcription, TTS speech generation, and DALL-E image APIs.
  • Define and execute the product roadmap for multimodal offerings, prioritizing features that scale to millions of end users.
  • Collaborate with product managers, designers, researchers, and stakeholders to align on strategic vision and priorities.
  • Partner with research teams to adapt core multimodal models for production API use cases, enhancing performance and reliability.
  • Lead technical and architectural decisions, focusing on scalability, robustness, low-latency real-time systems, and exceptional developer experience.
  • Cultivate a team culture of innovation, continuous improvement, accountability, and psychological safety.
  • Oversee delivery of APIs for real-time interactions, speech-to-text, text-to-speech, and generative image creation.
  • Drive cross-functional initiatives to integrate new AI modalities into the OpenAI API suite.
  • Monitor industry trends in multimodal AI, audio processing, computer vision, and streaming technologies.
  • Implement best practices in software engineering, DevOps, and ML operations for high-availability services.
  • Mentor engineers on career growth, technical excellence, and leadership skills.
  • Ensure compliance with safety standards in AI deployments, aligning with OpenAI's core values.
  • Contribute to hiring, onboarding, and retention strategies for top talent in AI engineering.

Qualifications

To succeed, you'll need proven engineering management experience in high-scale environments. Key requirements include:

  • 5+ years managing engineering teams delivering complex, production-grade products.
  • Deep technical expertise in software architecture, distributed systems, and modern practices like microservices and CI/CD.
  • Strong communication skills for bridging engineering, product, design, and research.
  • Hands-on knowledge or passion for multimodal AI, including speech tech (ASR/TTS), real-time streaming, and generative models.
  • Thrives in fast-paced startups with ambiguous priorities.
  • Preferred: Experience in AI/ML APIs, cloud platforms (AWS/GCP), audio/computer vision pipelines.

Salary & Benefits

Salary range: $350,000 - $550,000 USD yearly, plus equity. OpenAI offers unmatched perks:

  • Top-tier medical, dental, vision coverage.
  • 401(k) matching and financial planning.
  • Unlimited PTO and sabbaticals.
  • Generous parental leave.
  • Learning stipends and conference access.
  • Wellness programs, gym subsidies.
  • Daily catered meals in SF office.
  • Relocation support for Bay Area move.

Why Join OpenAI?

OpenAI is at the forefront of AGI, with products used by millions. Work with world-class researchers on models like GPT, DALL-E, and Whisper. Our SF headquarters fosters collaboration in a vibrant, inclusive environment valuing diverse perspectives. Impact humanity's future while enjoying competitive comp, equity in a unicorn, and a mission-driven culture. Engineering Managers here shape AI's deployment safely and effectively.

Recent achievements: Our API handles billions of tokens daily, powering apps from chatbots to creative tools. Join us to build the next era of multimodal AI.

How to Apply

Ready to lead multimodal AI at OpenAI? Submit your resume, LinkedIn, and a note on why you're excited. We review applications on a rolling basis. OpenAI is an equal opportunity employer committed to diversity.

This page optimized for searches like 'OpenAI Engineering Manager jobs San Francisco', 'Multimodal API careers', 'AI engineering leadership roles'. Updated October 2024. Word count: 1620.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

367,500 - 605,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Engineering Managementintermediate
  • Multimodal AIintermediate
  • API Developmentintermediate
  • Team Leadershipintermediate
  • Product Roadmapintermediate
  • Scalable Systemsintermediate
  • Speech Transcriptionintermediate
  • Text-to-Speech (TTS)intermediate
  • Image Generationintermediate
  • Real-time Processingintermediate
  • Machine Learningintermediate
  • System Architectureintermediate
  • Cloud Computingintermediate
  • Distributed Systemsintermediate
  • Audio Processingintermediate
  • Computer Visionintermediate
  • Agile Methodologiesintermediate
  • Stakeholder Collaborationintermediate
  • Technical Mentoringintermediate
  • Innovation Leadershipintermediate

Required Qualifications

  • Proven experience managing high-performing engineering teams delivering complex products at scale (experience)
  • Strong technical background in modern software engineering practices and system architecture (experience)
  • Excellent collaboration and communication skills for cross-functional team coordination (experience)
  • Familiarity with multimodal AI technologies including speech, real-time systems, and image generation (experience)
  • Ability to thrive in fast-paced, ambiguous startup environments (experience)
  • Experience developing multimodal systems or APIs in AI/ML domains (experience)
  • Knowledge of real-time streaming technologies, audio processing, and computer vision (experience)
  • Hands-on experience with cloud platforms like AWS, GCP, or Azure and distributed architectures (experience)
  • Track record of mentoring and growing engineering talent (experience)
  • Proficiency in guiding technical decisions for scalability, robustness, and user experience (experience)
  • Strong interest in advancing AI models for API customer use cases (experience)
  • Bachelor's or advanced degree in Computer Science, Engineering, or related field (preferred) (experience)

Responsibilities

  • Build, mentor, and grow a high-performing engineering team focused on multimodal API products
  • Own the product roadmap for evolving multimodal API offerings including realtime API, Whisper, TTS, and DALLE
  • Collaborate with product managers, designers, and stakeholders to define strategic vision
  • Work closely with research teams to optimize core multimodal models for API use cases
  • Guide technical and architectural decisions emphasizing scalability and robustness
  • Foster a culture of innovation, continuous improvement, and accountability
  • Deliver innovative APIs for real-time processing, speech transcription, and image creation
  • Enable developers to scale AI audio, video, and image applications to millions of users
  • Drive improvements in speech generation models and image generation APIs
  • Ensure high-quality, reliable products that meet industry-leading standards
  • Coordinate across diverse teams to align on priorities and execution
  • Monitor team performance and implement strategies for growth and retention
  • Stay ahead of industry trends in multimodal AI and real-time systems

Benefits

  • general: Competitive salary with equity in a high-growth AI company
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company matching
  • general: Generous paid time off and flexible vacation policy
  • general: Parental leave and family planning benefits
  • general: Professional development stipend for conferences and courses
  • general: Mental health support through dedicated programs
  • general: On-site fitness facilities and wellness reimbursement
  • general: Catered meals, snacks, and beverages daily
  • general: Commuter benefits and relocation assistance
  • general: Learning opportunities with top AI researchers
  • general: Inclusive culture with employee resource groups
  • general: Cutting-edge tools and hardware for optimal productivity

Target Your Resume for "Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

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Engineering Manager OpenAIMultimodal API jobs San FranciscoOpenAI engineering careersAI API product managerWhisper TTS DALL-E rolesSenior engineering manager AIReal-time AI API jobsSpeech generation engineeringImage generation API careersOpenAI San Francisco jobsMultimodal AI leadershipEngineering manager AGIAPI roadmap owner OpenAIAI research engineering managerScalable AI systems managerSpeech transcription jobs OpenAIDALL-E engineering rolesFast-paced AI startup jobsDistributed systems AI managerCloud AI engineering leadershipOpenAI multimodal careersSan Francisco AI manager jobsApplied AI

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OpenAI logo

Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!

OpenAI

Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Engineering Manager, Multimodal (API) at OpenAI - San Francisco, CA

Join OpenAI as an Engineering Manager, Multimodal (API) in San Francisco and lead the future of AI innovation. OpenAI's API platform powers the world's most advanced multimodal AI capabilities, from real-time interactions to text-to-speech, speech generation, and stunning image creation with models like Whisper, TTS, DALL-E, and native 4o. This senior-level role offers a chance to manage a high-impact team shaping how developers build scalable AI applications reaching millions.

Role Overview

As Engineering Manager for Multimodal APIs at OpenAI, you'll spearhead a team responsible for the industry's leading AI platform. Our multimodal APIs enable startups, indie developers, and Fortune 500 companies to harness diverse AI modalities at scale. You'll own the product roadmap, driving innovations in real-time processing, speech transcription (Whisper), speech generation (TTS), and image generation (DALL-E and 4o). Based in our San Francisco office, this in-person role demands a leader who thrives in ambiguity, scales teams, and delivers products that redefine AI accessibility.

OpenAI's mission—to ensure AGI benefits humanity—guides every decision. Your work will directly impact how AI audio, video, and images empower global users, making advanced capabilities available through simple, robust APIs.

Key Responsibilities

  • Build, mentor, and grow a high-performing engineering team specializing in multimodal API products like realtime API, Whisper transcription, TTS speech generation, and DALL-E image APIs.
  • Define and execute the product roadmap for multimodal offerings, prioritizing features that scale to millions of end users.
  • Collaborate with product managers, designers, researchers, and stakeholders to align on strategic vision and priorities.
  • Partner with research teams to adapt core multimodal models for production API use cases, enhancing performance and reliability.
  • Lead technical and architectural decisions, focusing on scalability, robustness, low-latency real-time systems, and exceptional developer experience.
  • Cultivate a team culture of innovation, continuous improvement, accountability, and psychological safety.
  • Oversee delivery of APIs for real-time interactions, speech-to-text, text-to-speech, and generative image creation.
  • Drive cross-functional initiatives to integrate new AI modalities into the OpenAI API suite.
  • Monitor industry trends in multimodal AI, audio processing, computer vision, and streaming technologies.
  • Implement best practices in software engineering, DevOps, and ML operations for high-availability services.
  • Mentor engineers on career growth, technical excellence, and leadership skills.
  • Ensure compliance with safety standards in AI deployments, aligning with OpenAI's core values.
  • Contribute to hiring, onboarding, and retention strategies for top talent in AI engineering.

Qualifications

To succeed, you'll need proven engineering management experience in high-scale environments. Key requirements include:

  • 5+ years managing engineering teams delivering complex, production-grade products.
  • Deep technical expertise in software architecture, distributed systems, and modern practices like microservices and CI/CD.
  • Strong communication skills for bridging engineering, product, design, and research.
  • Hands-on knowledge or passion for multimodal AI, including speech tech (ASR/TTS), real-time streaming, and generative models.
  • Thrives in fast-paced startups with ambiguous priorities.
  • Preferred: Experience in AI/ML APIs, cloud platforms (AWS/GCP), audio/computer vision pipelines.

Salary & Benefits

Salary range: $350,000 - $550,000 USD yearly, plus equity. OpenAI offers unmatched perks:

  • Top-tier medical, dental, vision coverage.
  • 401(k) matching and financial planning.
  • Unlimited PTO and sabbaticals.
  • Generous parental leave.
  • Learning stipends and conference access.
  • Wellness programs, gym subsidies.
  • Daily catered meals in SF office.
  • Relocation support for Bay Area move.

Why Join OpenAI?

OpenAI is at the forefront of AGI, with products used by millions. Work with world-class researchers on models like GPT, DALL-E, and Whisper. Our SF headquarters fosters collaboration in a vibrant, inclusive environment valuing diverse perspectives. Impact humanity's future while enjoying competitive comp, equity in a unicorn, and a mission-driven culture. Engineering Managers here shape AI's deployment safely and effectively.

Recent achievements: Our API handles billions of tokens daily, powering apps from chatbots to creative tools. Join us to build the next era of multimodal AI.

How to Apply

Ready to lead multimodal AI at OpenAI? Submit your resume, LinkedIn, and a note on why you're excited. We review applications on a rolling basis. OpenAI is an equal opportunity employer committed to diversity.

This page optimized for searches like 'OpenAI Engineering Manager jobs San Francisco', 'Multimodal API careers', 'AI engineering leadership roles'. Updated October 2024. Word count: 1620.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

367,500 - 605,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Engineering Managementintermediate
  • Multimodal AIintermediate
  • API Developmentintermediate
  • Team Leadershipintermediate
  • Product Roadmapintermediate
  • Scalable Systemsintermediate
  • Speech Transcriptionintermediate
  • Text-to-Speech (TTS)intermediate
  • Image Generationintermediate
  • Real-time Processingintermediate
  • Machine Learningintermediate
  • System Architectureintermediate
  • Cloud Computingintermediate
  • Distributed Systemsintermediate
  • Audio Processingintermediate
  • Computer Visionintermediate
  • Agile Methodologiesintermediate
  • Stakeholder Collaborationintermediate
  • Technical Mentoringintermediate
  • Innovation Leadershipintermediate

Required Qualifications

  • Proven experience managing high-performing engineering teams delivering complex products at scale (experience)
  • Strong technical background in modern software engineering practices and system architecture (experience)
  • Excellent collaboration and communication skills for cross-functional team coordination (experience)
  • Familiarity with multimodal AI technologies including speech, real-time systems, and image generation (experience)
  • Ability to thrive in fast-paced, ambiguous startup environments (experience)
  • Experience developing multimodal systems or APIs in AI/ML domains (experience)
  • Knowledge of real-time streaming technologies, audio processing, and computer vision (experience)
  • Hands-on experience with cloud platforms like AWS, GCP, or Azure and distributed architectures (experience)
  • Track record of mentoring and growing engineering talent (experience)
  • Proficiency in guiding technical decisions for scalability, robustness, and user experience (experience)
  • Strong interest in advancing AI models for API customer use cases (experience)
  • Bachelor's or advanced degree in Computer Science, Engineering, or related field (preferred) (experience)

Responsibilities

  • Build, mentor, and grow a high-performing engineering team focused on multimodal API products
  • Own the product roadmap for evolving multimodal API offerings including realtime API, Whisper, TTS, and DALLE
  • Collaborate with product managers, designers, and stakeholders to define strategic vision
  • Work closely with research teams to optimize core multimodal models for API use cases
  • Guide technical and architectural decisions emphasizing scalability and robustness
  • Foster a culture of innovation, continuous improvement, and accountability
  • Deliver innovative APIs for real-time processing, speech transcription, and image creation
  • Enable developers to scale AI audio, video, and image applications to millions of users
  • Drive improvements in speech generation models and image generation APIs
  • Ensure high-quality, reliable products that meet industry-leading standards
  • Coordinate across diverse teams to align on priorities and execution
  • Monitor team performance and implement strategies for growth and retention
  • Stay ahead of industry trends in multimodal AI and real-time systems

Benefits

  • general: Competitive salary with equity in a high-growth AI company
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company matching
  • general: Generous paid time off and flexible vacation policy
  • general: Parental leave and family planning benefits
  • general: Professional development stipend for conferences and courses
  • general: Mental health support through dedicated programs
  • general: On-site fitness facilities and wellness reimbursement
  • general: Catered meals, snacks, and beverages daily
  • general: Commuter benefits and relocation assistance
  • general: Learning opportunities with top AI researchers
  • general: Inclusive culture with employee resource groups
  • general: Cutting-edge tools and hardware for optimal productivity

Target Your Resume for "Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Engineering Manager OpenAIMultimodal API jobs San FranciscoOpenAI engineering careersAI API product managerWhisper TTS DALL-E rolesSenior engineering manager AIReal-time AI API jobsSpeech generation engineeringImage generation API careersOpenAI San Francisco jobsMultimodal AI leadershipEngineering manager AGIAPI roadmap owner OpenAIAI research engineering managerScalable AI systems managerSpeech transcription jobs OpenAIDALL-E engineering rolesFast-paced AI startup jobsDistributed systems AI managerCloud AI engineering leadershipOpenAI multimodal careersSan Francisco AI manager jobsApplied AI

Answer 10 quick questions to check your fit for Engineering Manager, Multimodal (API) Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.