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Technical Program Manager, Ai Safety & Safeguards

openai

San Francisco
AI Project Management Project Manager Account Manager Scrum Master Cloud Solutions Public Relations

Job Score

100 pts
On-site model (+70) AI (+10) Project Management (+10) Project Manager (+10)

About the Team

OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners.

Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm.

 

About the Role

We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers.

Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership.

You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level.

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:

  • Partner with product, engineering, research, and design to shape technical roadmaps, long-term platform direction, and safeguards priorities across ChatGPT, API, enterprise, and cloud environments.

  • Translate product and safety objectives into execution plans that balance near-term delivery, long-term platform evolution, customer needs, and responsible deployment.

  • Lead cross-functional programs end to end—from problem definition and technical design through implementation, launch, iteration, and operational follow-through.

  • Own milestones, dependencies, risk mitigation, decision-making, and accountability across engineering, infrastructure, integrity, trust and safety, legal, policy, operations, and go-to-market teams.

  • Partner with engineers on system architecture, public and internal APIs, cloud deployment patterns, platform integrations, operational failure modes, and technical tradeoffs.

  • Drive the development, integration, or rollout of safeguards such as model evaluations, post-training mitigations, classifiers, abuse detection, monitoring, enforcement workflows, human review, and agent-assisted review.

  • Coordinate readiness for sensitive or high-impact deployments, ensuring appropriate safety coverage, escalation paths, operational controls, and alignment with external cloud or enterprise partners.

  • Identify emerging misuse and severe-harm risks; define ownership and response mechanisms across prevention, detection, investigation, enforcement, and continuous improvement.

  • Establish meaningful metrics for program delivery, deployment readiness, safety effectiveness, operational quality, and user or developer experience.

  • Represent customer and developer needs in technical and leadership decisions, balancing risk reduction, model usefulness, implementation complexity, speed, and scale.

  • Communicate program health, risks, recommendations, and consequential tradeoffs clearly to engineering teams, cross-functional partners, and executives.

  • Improve delivery and safety outcomes through practical operating mechanisms, scalable tooling, and data- or AI-assisted workflows.

You might thrive in this role if you:

  • Have a strong track record of delivering high-impact technical programs across product, platform, API, infrastructure, machine learning, or safety domains.

  • Bring strong technical judgment across distributed systems, cloud deployments, public or internal APIs, developer platforms, production machine learning, or scalable product architecture.

  • Can engage credibly with engineers on system design, implementation tradeoffs, reliability, deployment constraints, and operational risks.

  • Have delivered platforms or developer-facing capabilities and understand how technical decisions affect customer experience, developer experience, and product usefulness.

  • Understand how safety, integrity, or abuse-prevention systems work, including evaluations, model guardrails, classifiers, monitoring, enforcement, investigations, and incident response.

  • Bring strong program management discipline and can coordinate multiple workstreams, resolve complex dependencies, and turn ambiguity into accountable execution.

  • Demonstrate product judgment and can balance user and customer needs with model usefulness, safety risk, technical complexity, and business priorities.

  • Communicate clearly and empathetically with engineering teams, executives, policy and legal partners, and external stakeholders.

  • Are comfortable owning high-stakes programs that require executive presence, cross-organizational influence, and sound decisions under uncertainty.

  • Have relevant experience with sensitive deployments, major cloud providers, or serious-harm domains such as violent misuse, child safety, cybersecurity, or other emerging threats.

  • Are hands-on, curious, and motivated to help ensure increasingly capable AI systems are deployed responsibly.

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 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 Project Management

Project Management is essential to ensure strategic initiatives are delivered on time, within scope, and with quality. PM professionals coordinate teams, manage risks, and communicate with stakeholders.

Key methodologies include PMBOK, PRINCE2, Scrum, and Kanban. Tools like Jira, Asana, Monday, and MS Project are widely used in daily work.

Certifications like PMP and PgMP are important differentiators in the market, with growing demand in technology and consulting companies.

About Project Manager

The Project Manager is the professional responsible for planning, executing, and controlling projects end-to-end, ensuring they are delivered on time, within budget, and with the expected quality. With the growing complexity of businesses, project management professionals are fundamental to organizational success.

Key skills include planning and scheduling, scope, cost, risk, quality, and resource management, stakeholder communication, cross-functional team leadership, and use of agile and traditional methodologies. Certifications like PMP, PRINCE2, and Six Sigma are important differentiators.

Project Managers in technology companies are highly valued, especially those who master agile methodologies (Scrum, Kanban), tools like Jira and MS Project, and can deliver complex projects efficiently. The field offers opportunities from project analyst to head of PMO, with a focus on execution, governance, and business value.

About Account Manager

The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.

Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.

Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.

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 Cloud Solutions

The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.

Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.

Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.

About Public Relations

The Public Relations (PR) area focuses on managing the reputation, image, and communication of an organization with its various stakeholders (such as clients, investors, employees, media, and the community). PR professionals develop corporate communication strategies, manage media relations (press relations), organize institutional events, and work in image crisis prevention and management.

Discover Other Areas

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

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 Blockchain

The Blockchain area involves the development and implementation of secure and distributed transaction ledgers. Professionals in this field work with smart contract development, cryptography, consensus algorithms, and platforms such as Ethereum, Hyperledger, and Solana, ensuring security and decentralization for various types of applications.

About IT Governance

IT Governance is the area responsible for ensuring that information technology resources are used strategically, efficiently, and in compliance with standards and regulations. IT governance professionals ensure that technology supports business objectives in a secure and reliable manner.

Key skills include IT service management (ITIL), IT audit and compliance, risk management, business continuity, disaster recovery, metrics and indicators (SLAs, KPIs), and strategic alignment between IT and business. Frameworks like COBIT, ITIL, ISO 27001, and compliance standards are essential.

IT Governance professionals in technology companies are highly valued, especially those who master ITSM, IT audit, and risk management. The field offers opportunities from governance analyst to CIO/CTO, with a focus on efficiency, compliance, security, and business value.

About Ecommerce Manager

The Ecommerce Manager is the professional responsible for the entire strategic and operational management of online stores and marketplaces. They lead teams, define pricing, promotion, and catalog strategies, and monitor online sales performance across multiple platforms.

Key skills include catalog management, dynamic pricing, seasonal campaigns (Black Friday, Cyber Monday), marketplace management (Amazon, Mercado Livre, Shopee, Magalu), paid traffic, CRO, and team management. Knowledge of Shopify, VTEX, WooCommerce, Google Ads, Meta Ads, and performance metrics is a differentiator.

Ecommerce Managers in technology companies are highly valued, especially those who master multi-marketplace management, checkout optimization, and mobile commerce strategies. The field offers opportunities from ecommerce manager to head of ecommerce, with a focus on revenue, customer experience, and growth.

About Agile

The Agile and Digital Transformation area is fundamental for organizations seeking efficiency and rapid adaptation. Agile professionals facilitate processes, eliminate bottlenecks, and promote a culture of continuous improvement.

Key certifications include CSM, PSM, SAFe, ICP, and Kanban. Knowledge of Scrum, Kanban, XP, and agile frameworks is essential, as are leadership and facilitation soft skills.

Senior Agile coaches and Scrum Masters are highly valued, especially in technology companies that adopt agile methodologies at scale.

Career Guides

Technology Career Guide

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

Read full guide →

Design Career Guide

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

Read full guide →

Marketing Career Guide

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

Read full guide →

Finance Career Guide

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

Read full guide →

Communication Career Guide

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

Read full guide →

Administration Career Guide

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

Read full guide →

Data Career Guide

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

Read full guide →

Product Career Guide

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

Read full guide →

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

Data-Driven: How Data Defines Company Success or Failure

The Data-Driven Era: How Data Culture Defines Company Success or Failure

Published by Mondywork | Category: Data / Business Intelligence

The End of Corporate Gut Feeling

In the past, major business decisions were made based on intuition, previous experience, or the famous "gut feeling" of directors (what the market refers to as the HiPPO - Highest Paid Person's Opinion). Today, however, in a highly competitive and globalized corporate ecosystem, relying on guesswork is the fastest recipe for bankruptcy.

Digital transformation didn't just connect processes; it generated a massive volume of information. The companies that thrive are those that know how to capture, clean, and transform this raw data into actionable insights.

"Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain those customers, and 19 times as likely to be profitable as a result."
— McKinsey Global Institute Study

What Does it Mean to Have a Data-Driven Culture?

Being Data-Driven doesn't just mean subscribing to expensive Analytics tools or having a beautiful dashboard on the office wall. It's a fundamental shift in organizational culture, where truth is sought in the numbers before any action is executed.

  • Predictability: Predictive models allow companies to forecast market trends, customer churn, and operational bottlenecks before they happen.
  • Risk Mitigation: Decisions based on statistics drastically reduce the margin of error in investments and new product launches.
  • Personalization at Scale: Behavioral analysis enables marketing to deliver exactly what the user wants, right when they have the highest propensity to buy.

The Impact of Business Intelligence (BI) and Big Data

To extract the true value from information, companies are building robust Business Intelligence (BI) and Big Data departments. ETL (Extract, Transform, Load) processes, Data Lakes architecture, and the mastery of software like Power BI and Tableau have become the backbone of top-tier US startups and unicorns.

The Harvard Business Review has repeatedly highlighted that the professional who can translate complex data into business language is a modern corporation's most valuable asset. It's not enough to have the data; you must know how to tell a story with it (Data Storytelling).

The Job Market: The Hunt for Data Talent

With this paradigm shift, the demand for Data Engineers, BI Analysts, Data Scientists, and Analytics Engineers has skyrocketed. International companies—especially in the US and Europe—are aggressively hiring global professionals for 100% US Remote roles, offering highly competitive six-figure compensation packages.

For these companies, which use rigorous Applicant Tracking Systems (ATS like Ashby, Workday, and Greenhouse), the ideal candidate is one who seamlessly blends technical mastery (SQL, Python, DAX) with a sharp business acumen.


References and Recommended Reading

  • McKinsey & Company: The data-driven enterprise of 2025.
  • Harvard Business Review: How to Build a Data-Driven Culture.
  • Gartner: Top Trends in Data and Analytics.

Master the art of turning data into revenue?

The best US startups and global tech companies are actively looking for analytical professionals like you, offering remote roles with premium compensation. Don't miss out on the top Data, BI, and Machine Learning opportunities in the market.