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

OpenAI

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

full-timePosted: Feb 10, 2026

Job Description

Engineering Manager (Web Safety) at OpenAI - San Francisco, CA

Role Overview

Join OpenAI's Integrity team as an Engineering Manager (Web Safety) in San Francisco, California. This senior leadership role within the Applied Engineering team focuses on safeguarding OpenAI's platform by proactively identifying misuse, preventing abuse, and protecting users worldwide. You'll architect advanced system protections using state-of-the-art machine learning models, lead a high-impact team of senior MLEs, and drive responsible deployment of transformative AI technologies like ChatGPT and Advanced Voice Mode.

The Integrity team plays a critical role in ensuring OpenAI's APIs power innovative products while maintaining platform safety. As Engineering Manager, you'll blend hands-on technical expertise with strategic leadership to build next-generation defenses against web threats. This position demands deep ML experience, particularly in LLMs, content moderation, and trust & safety systems. Located in the heart of San Francisco's tech ecosystem, you'll collaborate with world-class researchers and engineers to shape the future of AI integrity.

OpenAI is at the forefront of artificial general intelligence (AGI), and roles like this are pivotal in balancing innovation with safety. If you have managed ML teams in high-stakes environments like web safety or content integrity, this is your chance to make a global impact.

Key Responsibilities

  • Architect and implement next-generation system protections, including hands-on model design, training, and deployment strategies for web safety.
  • Lead and manage a focused team of senior Machine Learning Engineers, providing clear direction while fostering autonomy and innovation.
  • Collaborate cross-functionally with Research, Safety, Product, and Policy teams to integrate existing tools and pioneer new advancements in AI integrity.
  • Utilize cutting-edge LLMs and traditional ML models to detect, classify, and prevent problematic content at scale.
  • Develop robust evaluation frameworks, KPIs, and metrics to measure system performance and iterate on improvements.
  • Mentor and coach team members, supporting their professional growth and defining clear career progression paths.
  • Proactively identify emerging misuse patterns and design scalable defenses for OpenAI's platform.
  • Drive end-to-end ML pipelines from data annotation to model serving in production environments.
  • Ensure responsible API usage by customers building transformative products on OpenAI's infrastructure.
  • Analyze platform data to quantify integrity risks and demonstrate ROI of safety investments.
  • Guide deployment processes, optimizing for reliability, latency, and cost-efficiency.
  • Champion a culture of high performance, empathy, and emotional intelligence within the team.
  • Stay abreast of industry trends in AI safety, web moderation, and adversarial ML techniques.

Qualifications

To excel as Engineering Manager (Web Safety) at OpenAI, you'll need:

  • Extensive experience managing ML teams in web safety, content integrity, trust & safety, or similar domains.
  • Hands-on success training, fine-tuning, distilling LLMs (e.g., GPT-series) and classical models for production use.
  • Technical depth to actively design architectures, train models, and oversee deployments alongside your team.
  • Proven cross-team collaboration skills to leverage tools from Research, Safety, Product, and Policy.
  • Strong EQ, empathy, and interpersonal skills to build connected, high-performing teams.
  • Thrives in ambiguous, fast-paced settings, creating structure from chaos.
  • 5+ years in ML engineering leadership; advanced degree in CS/ML preferred.
  • Expertise in Python, PyTorch/TensorFlow, scalable ML infra, and evaluation metrics.
  • Familiarity with content moderation challenges, adversarial attacks, and platform abuse prevention.
  • Track record of mentoring engineers toward promotion and growth.
  • Passion for AI safety and responsible deployment benefiting humanity.

Salary & Benefits

Competitive total compensation for Engineering Manager (Web Safety) at OpenAI in San Francisco ranges from $320,000 to $450,000 USD annually, including base salary, equity, and bonuses. OpenAI offers exceptional benefits:

  • Comprehensive medical, dental, vision coverage.
  • 401(k) with company match.
  • Unlimited PTO and flexible scheduling.
  • Generous parental leave.
  • Mental health resources and wellness stipends.
  • Professional development budget.
  • Equity in a leading AI company.
  • Fully catered meals and snacks.
  • Commuter benefits.
  • Volunteer PTO.
  • Employee resource groups.
  • Fitness reimbursements.

Why Join OpenAI?

OpenAI is pioneering safe AGI to benefit humanity. Work on products like ChatGPT that reach billions. San Francisco HQ offers unparalleled collaboration. Equal opportunity employer committed to diversity. Background checks per law, considering fair chance ordinances.

Impact real-world AI safety at scale. Grow with top talent in a mission-driven culture valuing diverse perspectives.

How to Apply

Submit your resume and cover letter highlighting ML management and web safety experience. OpenAI reviews applications on a rolling basis. Prepare for technical interviews on LLM fine-tuning, team leadership scenarios, and system design.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

336,000 - 495,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning Engineeringintermediate
  • LLM Fine-Tuningintermediate
  • Model Training and Deploymentintermediate
  • Web Safety Systemsintermediate
  • Content Integrityintermediate
  • Trust and Safety Engineeringintermediate
  • Python Programmingintermediate
  • TensorFlow/PyTorchintermediate
  • Team Leadershipintermediate
  • Engineering Managementintermediate
  • Evaluation Frameworksintermediate
  • Cross-Functional Collaborationintermediate
  • AI Safety Researchintermediate
  • Scalable Infrastructureintermediate
  • Data Annotation Pipelinesintermediate
  • Model Distillationintermediate
  • Risk Assessment Modelsintermediate
  • API Securityintermediate
  • Performance Metricsintermediate
  • Mentorship and Coachingintermediate

Required Qualifications

  • Extensive hands-on experience managing machine learning teams in web safety or content integrity (experience)
  • Proven track record of training, fine-tuning, or distilling LLMs and traditional ML models for real-world problems (experience)
  • Deep technical involvement in designing solutions, training models, and guiding deployments (experience)
  • Strong collaboration skills across Research, Safety, Product, and Policy teams (experience)
  • High emotional intelligence, empathy, and ability to connect with colleagues (experience)
  • Comfort thriving in ambiguity and rapidly changing environments (experience)
  • Experience architecting next-generation system protections for AI platforms (experience)
  • Bachelor's or advanced degree in Computer Science, Machine Learning, or related field (experience)
  • 5+ years in ML engineering leadership roles (experience)
  • Familiarity with state-of-the-art models for content moderation and abuse prevention (experience)
  • Expertise in establishing robust evaluation frameworks and metrics (experience)
  • Demonstrated success supporting team growth through mentorship and career progression (experience)

Responsibilities

  • Architect next-generation system protections through hands-on design and implementation
  • Build and deploy ML models for detecting and preventing problematic content
  • Lead a small team of senior Machine Learning Engineers with clear direction and autonomy
  • Train, fine-tune, and distill LLMs to solve web safety challenges
  • Collaborate with Research, Safety, Product, and Policy teams on tool integration
  • Establish comprehensive evaluation frameworks and performance metrics
  • Mentor team members and support their professional growth and career progression
  • Drive scalable infrastructure for safe AI deployment
  • Proactively identify platform misuse and abuse patterns
  • Develop strategies for responsible usage of OpenAI APIs
  • Analyze and measure progress on integrity initiatives
  • Guide deployment processes and ensure system reliability
  • Foster high-performance team culture through empathy and structure

Benefits

  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings with generous company match
  • general: Unlimited PTO and flexible vacation policy
  • general: Generous parental leave for primary and secondary caregivers
  • general: Mental health support through professional counseling services
  • general: Fitness and wellness stipends for gym memberships and classes
  • general: Learning and development budget for conferences and courses
  • general: Stock options in a high-growth AI company
  • general: Fully stocked kitchens with healthy snacks and meals
  • general: Commuter benefits and public transit subsidies
  • general: Remote work flexibility for eligible roles
  • general: Volunteer time off to support community initiatives
  • general: Employee resource groups for diversity and inclusion

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Engineering Manager Web Safety OpenAIOpenAI Machine Learning Jobs San FranciscoAI Integrity Engineering ManagerLLM Fine-Tuning Jobs OpenAIWeb Safety ML Engineer ManagerContent Moderation Engineering OpenAITrust and Safety Manager CareersSenior MLE Manager OpenAI SFAI Platform Integrity JobsMachine Learning Team Lead OpenAIOpenAI Applied Engineering CareersWeb Abuse Prevention ML JobsSan Francisco AI Safety JobsEngineering Manager LLM DeploymentOpenAI Integrity Team HiringML Model Training Manager OpenAIAI Safety Engineering San FranciscoContent Integrity ML LeadershipOpenAI Web Safety CareersSenior Engineering Manager AI JobsOpenAI API Safety RolesApplied AI

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OpenAI logo

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

OpenAI

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

full-timePosted: Feb 10, 2026

Job Description

Engineering Manager (Web Safety) at OpenAI - San Francisco, CA

Role Overview

Join OpenAI's Integrity team as an Engineering Manager (Web Safety) in San Francisco, California. This senior leadership role within the Applied Engineering team focuses on safeguarding OpenAI's platform by proactively identifying misuse, preventing abuse, and protecting users worldwide. You'll architect advanced system protections using state-of-the-art machine learning models, lead a high-impact team of senior MLEs, and drive responsible deployment of transformative AI technologies like ChatGPT and Advanced Voice Mode.

The Integrity team plays a critical role in ensuring OpenAI's APIs power innovative products while maintaining platform safety. As Engineering Manager, you'll blend hands-on technical expertise with strategic leadership to build next-generation defenses against web threats. This position demands deep ML experience, particularly in LLMs, content moderation, and trust & safety systems. Located in the heart of San Francisco's tech ecosystem, you'll collaborate with world-class researchers and engineers to shape the future of AI integrity.

OpenAI is at the forefront of artificial general intelligence (AGI), and roles like this are pivotal in balancing innovation with safety. If you have managed ML teams in high-stakes environments like web safety or content integrity, this is your chance to make a global impact.

Key Responsibilities

  • Architect and implement next-generation system protections, including hands-on model design, training, and deployment strategies for web safety.
  • Lead and manage a focused team of senior Machine Learning Engineers, providing clear direction while fostering autonomy and innovation.
  • Collaborate cross-functionally with Research, Safety, Product, and Policy teams to integrate existing tools and pioneer new advancements in AI integrity.
  • Utilize cutting-edge LLMs and traditional ML models to detect, classify, and prevent problematic content at scale.
  • Develop robust evaluation frameworks, KPIs, and metrics to measure system performance and iterate on improvements.
  • Mentor and coach team members, supporting their professional growth and defining clear career progression paths.
  • Proactively identify emerging misuse patterns and design scalable defenses for OpenAI's platform.
  • Drive end-to-end ML pipelines from data annotation to model serving in production environments.
  • Ensure responsible API usage by customers building transformative products on OpenAI's infrastructure.
  • Analyze platform data to quantify integrity risks and demonstrate ROI of safety investments.
  • Guide deployment processes, optimizing for reliability, latency, and cost-efficiency.
  • Champion a culture of high performance, empathy, and emotional intelligence within the team.
  • Stay abreast of industry trends in AI safety, web moderation, and adversarial ML techniques.

Qualifications

To excel as Engineering Manager (Web Safety) at OpenAI, you'll need:

  • Extensive experience managing ML teams in web safety, content integrity, trust & safety, or similar domains.
  • Hands-on success training, fine-tuning, distilling LLMs (e.g., GPT-series) and classical models for production use.
  • Technical depth to actively design architectures, train models, and oversee deployments alongside your team.
  • Proven cross-team collaboration skills to leverage tools from Research, Safety, Product, and Policy.
  • Strong EQ, empathy, and interpersonal skills to build connected, high-performing teams.
  • Thrives in ambiguous, fast-paced settings, creating structure from chaos.
  • 5+ years in ML engineering leadership; advanced degree in CS/ML preferred.
  • Expertise in Python, PyTorch/TensorFlow, scalable ML infra, and evaluation metrics.
  • Familiarity with content moderation challenges, adversarial attacks, and platform abuse prevention.
  • Track record of mentoring engineers toward promotion and growth.
  • Passion for AI safety and responsible deployment benefiting humanity.

Salary & Benefits

Competitive total compensation for Engineering Manager (Web Safety) at OpenAI in San Francisco ranges from $320,000 to $450,000 USD annually, including base salary, equity, and bonuses. OpenAI offers exceptional benefits:

  • Comprehensive medical, dental, vision coverage.
  • 401(k) with company match.
  • Unlimited PTO and flexible scheduling.
  • Generous parental leave.
  • Mental health resources and wellness stipends.
  • Professional development budget.
  • Equity in a leading AI company.
  • Fully catered meals and snacks.
  • Commuter benefits.
  • Volunteer PTO.
  • Employee resource groups.
  • Fitness reimbursements.

Why Join OpenAI?

OpenAI is pioneering safe AGI to benefit humanity. Work on products like ChatGPT that reach billions. San Francisco HQ offers unparalleled collaboration. Equal opportunity employer committed to diversity. Background checks per law, considering fair chance ordinances.

Impact real-world AI safety at scale. Grow with top talent in a mission-driven culture valuing diverse perspectives.

How to Apply

Submit your resume and cover letter highlighting ML management and web safety experience. OpenAI reviews applications on a rolling basis. Prepare for technical interviews on LLM fine-tuning, team leadership scenarios, and system design.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

336,000 - 495,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning Engineeringintermediate
  • LLM Fine-Tuningintermediate
  • Model Training and Deploymentintermediate
  • Web Safety Systemsintermediate
  • Content Integrityintermediate
  • Trust and Safety Engineeringintermediate
  • Python Programmingintermediate
  • TensorFlow/PyTorchintermediate
  • Team Leadershipintermediate
  • Engineering Managementintermediate
  • Evaluation Frameworksintermediate
  • Cross-Functional Collaborationintermediate
  • AI Safety Researchintermediate
  • Scalable Infrastructureintermediate
  • Data Annotation Pipelinesintermediate
  • Model Distillationintermediate
  • Risk Assessment Modelsintermediate
  • API Securityintermediate
  • Performance Metricsintermediate
  • Mentorship and Coachingintermediate

Required Qualifications

  • Extensive hands-on experience managing machine learning teams in web safety or content integrity (experience)
  • Proven track record of training, fine-tuning, or distilling LLMs and traditional ML models for real-world problems (experience)
  • Deep technical involvement in designing solutions, training models, and guiding deployments (experience)
  • Strong collaboration skills across Research, Safety, Product, and Policy teams (experience)
  • High emotional intelligence, empathy, and ability to connect with colleagues (experience)
  • Comfort thriving in ambiguity and rapidly changing environments (experience)
  • Experience architecting next-generation system protections for AI platforms (experience)
  • Bachelor's or advanced degree in Computer Science, Machine Learning, or related field (experience)
  • 5+ years in ML engineering leadership roles (experience)
  • Familiarity with state-of-the-art models for content moderation and abuse prevention (experience)
  • Expertise in establishing robust evaluation frameworks and metrics (experience)
  • Demonstrated success supporting team growth through mentorship and career progression (experience)

Responsibilities

  • Architect next-generation system protections through hands-on design and implementation
  • Build and deploy ML models for detecting and preventing problematic content
  • Lead a small team of senior Machine Learning Engineers with clear direction and autonomy
  • Train, fine-tune, and distill LLMs to solve web safety challenges
  • Collaborate with Research, Safety, Product, and Policy teams on tool integration
  • Establish comprehensive evaluation frameworks and performance metrics
  • Mentor team members and support their professional growth and career progression
  • Drive scalable infrastructure for safe AI deployment
  • Proactively identify platform misuse and abuse patterns
  • Develop strategies for responsible usage of OpenAI APIs
  • Analyze and measure progress on integrity initiatives
  • Guide deployment processes and ensure system reliability
  • Foster high-performance team culture through empathy and structure

Benefits

  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings with generous company match
  • general: Unlimited PTO and flexible vacation policy
  • general: Generous parental leave for primary and secondary caregivers
  • general: Mental health support through professional counseling services
  • general: Fitness and wellness stipends for gym memberships and classes
  • general: Learning and development budget for conferences and courses
  • general: Stock options in a high-growth AI company
  • general: Fully stocked kitchens with healthy snacks and meals
  • general: Commuter benefits and public transit subsidies
  • general: Remote work flexibility for eligible roles
  • general: Volunteer time off to support community initiatives
  • general: Employee resource groups for diversity and inclusion

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

Get personalized recommendations to optimize your resume specifically for Engineering Manager (Web Safety) 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 (Web Safety) 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 Web Safety OpenAIOpenAI Machine Learning Jobs San FranciscoAI Integrity Engineering ManagerLLM Fine-Tuning Jobs OpenAIWeb Safety ML Engineer ManagerContent Moderation Engineering OpenAITrust and Safety Manager CareersSenior MLE Manager OpenAI SFAI Platform Integrity JobsMachine Learning Team Lead OpenAIOpenAI Applied Engineering CareersWeb Abuse Prevention ML JobsSan Francisco AI Safety JobsEngineering Manager LLM DeploymentOpenAI Integrity Team HiringML Model Training Manager OpenAIAI Safety Engineering San FranciscoContent Integrity ML LeadershipOpenAI Web Safety CareersSenior Engineering Manager AI JobsOpenAI API Safety RolesApplied AI

Answer 10 quick questions to check your fit for Engineering Manager (Web Safety) 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.