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Model Policy Manager, Multimodal Safety

openai

San Francisco
Scrum Master Product Owner

Job Score

90 pts
On-site model (+70) Scrum Master (+10) Product Owner (+10)

About the Team

Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations.

Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include:

About the Role

We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Design and maintain model policies for audio, image, video, and omni-modal behavior.

  • Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards.

  • Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration.

  • Develop policy artifacts that support model training, evaluation, and deployment, including behavior instructions, human-data campaigns, golden sets, and evaluations.

  • Partner with AI researchers, domain experts, and product teams to operationalize policy into measurable model behavior.

You might thrive in this role if you:

  • Have strong judgment about the real-world risks of advanced multimodal AI systems.

  • Possess experience turning ambiguous safety questions into clear data-driven policies, behavioral boundaries, and measurable evaluation criteria.

  • Treat policy as an end-to-end, measurable system by testing whether it produces the intended model behavior and diagnosing gaps across policy, data, graders, and safeguards.

  • Leverage strong technical judgement to design policies around model behavior that can realistically be trained, measured, and supervised at scale.

  • Demonstrate strong technical fluency and uses AI tools to accelerate policy development, evaluate model behavior, analyze failure patterns, and turn findings into actionable improvements.

  • Are comfortable working hands-on with model data and evaluation results, including inspecting examples, analyzing failure patterns, assessing data quality, and distinguishing policy failures from grader, model, or system failures.

  • Enjoy fast-paced, collaborative research environments where priorities shift as models, evidence, and risks change.

  • Take a pragmatic, evidence-driven approach to reducing risk while preserving beneficial uses of AI.

  • Have hands-on experience driving consensus and action in ambiguous spaces.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Scrum Master

The Scrum Master is the professional responsible for facilitating the adoption of Scrum and agile practices within development teams. They act as servant leaders, removing impediments, promoting continuous improvement, and ensuring Scrum events and ceremonies happen in the best possible way.

Key skills include event facilitation (sprint planning, daily, review, retrospective), backlog management, team coaching, conflict resolution, and agile metrics (velocity, burndown, cycle time). Knowledge of Jira, Trello, Azure DevOps, and frameworks like Kanban, XP, and SAFe is a differentiator.

Scrum Masters in technology companies are highly valued, especially those who can promote team autonomy, create psychologically safe environments, and lead agile transformations at scale. The field offers opportunities from junior scrum master to agile coach, head of agile, and director of agile transformation.

About Product Owner

The Product Owner (PO) is the professional responsible for maximizing the value of the product delivered by the development team. They act as the voice of the customer and stakeholders, managing and prioritizing the product backlog, defining clear user stories, and ensuring the team works on the most valuable items for the business.

Key skills include backlog management, user story writing, prioritization (Mascow, RICE), agile methodologies (Scrum, Kanban), and stakeholder communication. Knowledge of tools like Jira, Trello, Azure DevOps, and Miro is essential.

Product Owners are highly sought-after professionals in the technology market, working collaboratively with Scrum Masters, Product Managers, and engineering teams to drive agility and continuous value delivery.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Backend

The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.

Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).

Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.

About Infrastructure and DevOps

Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.

Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).

DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.

About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

About Automation Analyst

The Automation Analyst is the professional responsible for identifying process optimization opportunities and developing automated workflows (RPA, scripts, or integrations). They map manual and repetitive tasks across various company areas and build automation solutions using low-code/no-code platforms (such as Zapier, Make, Power Automate, n8n) or RPA tools (such as UiPath), driving operational efficiency and error reduction.

About Digital Marketing

Digital Marketing is a constantly expanding field, driven by e-commerce growth and the need for a strong digital presence. Marketing professionals master tools like Google Ads, Meta Ads, HubSpot, Google Analytics, and automation platforms.

Most sought-after specializations include Growth Marketing, Performance, SEO, Content Marketing, and Growth Hacking. The combination of creativity with data analysis is the most valued differentiator in the market.

The market offers opportunities in both agencies and technology companies, with competitive salaries and remote work possibilities.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

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Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

How to Build an Unbeatable Resume in 2026

At Mondywork, our engine analyzes hundreds of the best remote jobs daily. If there's one thing we've learned from observing the backend of elite recruiting platforms like Greenhouse, Ashby, and Workday, it's this: a good resume isn't the prettiest one; it's the most efficient one.

Many highly qualified professionals miss out on golden opportunities (and six-figure remote roles) simply because their resumes fail to communicate their value within seconds or get trapped in automated corporate filters.

To change that game, we've gathered the best market practices, rooted in data and the brightest minds in global recruiting.

1. The 7.4-Second Rule (The Skimming Test)

The biggest mistake candidates make is assuming the recruiter will read their resume like a book. The reality is much colder.

A famous study conducted by the career and recruiting firm Ladders, using eye-tracking technology, revealed that recruiters spend an average of only 7.4 seconds scanning a resume before deciding whether the candidate moves forward to the next round.

How to optimize your resume for the 7.4 seconds:

  • Clear Visual Hierarchy: Recruiters instinctively look for your Job Title, Current Company, and Dates of Employment. Make this information effortless to find.
  • Bullet Points Only: Never use large blocks of text. The human brain scans lists much more easily.
  • Focus on the Top Third: The top third of your resume (your professional summary and your most recent experience) is your "premium real estate." Your biggest selling points must live there.

2. Google's XYZ Formula for Experience

Most people describe what they did at work (their responsibilities). Recruiters want to know what you achieved (your results).

Laszlo Bock, former Senior Vice President of People Operations at Google, popularized the ultimate methodology for writing experience bullet points: The XYZ Formula.

The structure is simple and powerful:

"Accomplished [X] as measured by [Y], by doing [Z]."

  • Bad (Task-focused): "Wrote code for the payment platform."
  • Good (Result-focused): "Improved the speed of the payment platform."
  • The Google Standard (XYZ Formula): "Increased payment processing speed by 15% (X), reducing page load time by 1.2 seconds (Y), by refactoring the legacy API to Node.js (Z)."

Pro Tip: Whether you're in Digital Marketing, Design, or Tech, use hard metrics. Talk about conversion percentages, cost reductions, active user growth, or hours saved.

3. Beat the Bots: ATS Optimization

Over 99% of Fortune 500 companies and a vast majority of tech startups use ATS (Applicant Tracking Systems). These are software programs that read and filter resumes before a human ever lays eyes on them.

Austin Belcak, founder of Cultivated Culture and employability expert, analyzed over 125,000 resumes and found that complex formatting is the number one enemy of getting hired.

How to pass the ATS filter:

  • Ditch the Canvas (mostly): Resumes with dual columns, skill progress bars (e.g., "70% in JavaScript"), and graphic icons frequently confuse bots, which extract text in a jumbled mess.
  • Use a Linear Format: A simple Word or Google Docs document, saved as a PDF, with single-column formatting (reading top to bottom) is the safest template in the world.
  • Keyword Mirroring: ATS software runs on keywords. Read the job description on Mondywork and ensure the required hard skills (e.g., React, SEO, Figma, Agile) are explicitly written on your resume.

4. The Professional Summary (Your Elevator Pitch)

The traditional "Objective" statement ("Looking for an opportunity to grow within the company") is dead. Today, what works is the Executive Summary.

Use 3 or 4 lines at the very top of your resume to define who you are, your core specialty, and your biggest career win.

Example: "Mid-level Front-end Developer with 4 years of experience in e-commerce. Specialist in React and performance optimization (Web Vitals), with a proven track record of increasing mobile checkout conversion rates by 20%."

🚀 Ready to test your new Resume?

Now that your resume is optimized for the competitive US market and entirely focused on results, it's time to put it in play.

At Mondywork, our engine curates the best remote Tech, Design, and Digital Marketing opportunities from top companies every single day.

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