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Technical Program Manager, Cloud Ai Partnerships

openai

San Francisco
AI Project Management Uncategorized Information Security Project Manager Account Manager Cloud Solutions Public Relations

Job Score

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

About the Team

The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike.

Technical Program Managers at OpenAI play a key leadership role in scaling these efforts, partnering deeply with product, engineering, design, and go-to-market teams to bring ambitious ideas to life and ensure clarity and discipline in execution.

 

About the Role

We are hiring a Technical Program Manager to support OpenAI's critical AI deployments across strategic cloud partners. This role is designed for a candidate who can operate as an end-to-end owner across internal engineering teams and external partner organizations.

This role will drive the technical strategy and execution required to bring OpenAI models and platform capabilities into partner environments responsibly and at scale. The work spans engineering deliverables, shared roadmaps, model launch pipelines, technical integration, launch readiness, and post-launch follow-through.

You will work closely with senior leaders across OpenAI engineering, infrastructure, product, safety, security, legal, finance, and go-to-market, as well as technical counterparts at our partners. The job is to turn broad partnership commitments into concrete execution plans, align both sides on what must land, and build repeatable mechanisms for launching OpenAI capabilities on third-party platforms.

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:

  • Lead end-to-end execution for major cloud partner programs spanning model deployment, product integration, operational readiness, launch follow-through, and partner-platform adoption.

  • Own integrated technical roadmaps across OpenAI and partner teams, including milestones, dependencies, risks, resourcing needs, and the sequencing required to land joint commitments.

  • Own launch readiness across cloud partner platforms, including readiness checklists, blocker tracking, joint go/no-go reviews, and post-launch stability follow-through.

  • Act as a primary technical interface to partner engineering organizations, helping own the shared roadmap and day-to-day coordination on deployment, capacity, incidents, and open engineering issues.

  • Drive alignment across engineering, infrastructure, product, safety, security, legal, finance, and go-to-market teams so joint deliverables are well-scoped, sequenced, and executable.

  • Provide clear, transparent reporting on program status, issues, risks, and decisions required for senior leaders and stakeholders.

  • Convert open issues into prioritized plans that both OpenAI and partner teams can commit to, with clear owners, workbacks, and closure paths.

  • Help build repeatable and efficient development and launch pipelines for OpenAI models on partner platforms.

You might thrive in this role if you:

  • Bring substantial technical program management leadership across infrastructure, platform, or large-scale engineering work, with a track record of owning complex programs end to end.

  • Have led complex partner-facing programs where success required tight coordination across company boundaries, clear operating rhythms, and sustained follow-through.

  • Understand cloud architectures, AI/ML deployment, model serving, and the practical integration challenges of bringing advanced AI systems to production.

  • Direct experience with major cloud or AI platforms, including how models are integrated, launched, and onboarded for customers.

  • Familiarity with how foundation models are integrated, packaged, launched, and operated through partner platforms or marketplaces.

  • Experience with inference systems, model serving, accelerator-backed infrastructure, or distributed systems.

  • Can balance strategic priorities with rapid, high-quality execution in fast-moving environments.

  • Communicate crisply with engineers, executives, and external partners, and can create alignment without direct authority.

  • Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace.

  • Exercise strong judgment on risk, sequencing, and the difference between a target date and a credible launch plan.

  • Care about OpenAI's mission and about expanding responsible access to advanced AI systems.

 

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 Information Security

The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.

Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.

Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.

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 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 Copywriting

The Copywriting area is responsible for creating persuasive, creative, and strategic texts for various communication channels. Copywriting professionals transform ideas into words that engage, convert, and build brand voice.

Key skills include advertising copywriting, script writing for videos and podcasts, persuasive writing, tone of voice, and editorial guidelines. Knowledge of SEO writing, Grammarly, and text productivity tools is a differentiator.

Copywriting professionals in technology companies are highly valued, especially those who master copy for landing pages, email sequences, and funnel content. The field offers opportunities from junior copywriter to head of copy, with a focus on creativity, persuasion, and performance.

About Technical Support

Technical Support is essential to ensure customer satisfaction and retention. Support professionals resolve technical issues, document solutions, and identify patterns that can lead to product improvements.

Key skills include troubleshooting, customer service, technical documentation, ITIL knowledge, and ticketing tools (Zendesk, Freshdesk, Intercom).

Technical support has evolved from a reactive to a proactive function, with high-level professionals working in Customer Engineering and Support Engineering.

About Branding

Branding is the area responsible for building, managing, and strengthening a brand's identity and market value. Branding professionals create strategies that define how the brand is perceived by the public, from the logo to the complete customer experience.

Key skills include brand strategy, visual identity, brand guidelines, positioning, naming, brand voice, market research, brand equity, and brand management. Knowledge of graphic design (Figma, Illustrator, Photoshop), storytelling, and brand experience is a differentiator.

Branding professionals in technology companies are highly valued, especially those who master employer branding, digital branding, and can build strong, memorable brands in competitive markets. The field offers opportunities from brand designer to head of brand, with a focus on identity, differentiation, and perceived value.

About Customer Service

The Customer Service / Client Relations area is essential for ensuring customer satisfaction, retention, and a good relationship. Professionals in this field are the primary interface for communication, handling inquiries, requests, feedback, and ensuring a high-quality day-to-day experience. Skills in communication, problem-solving, empathy, and patience are indispensable.

About Talent Acquisition

Talent Acquisition is the strategic area responsible for attracting, selecting, and hiring the best professionals for the organization. Unlike traditional recruitment, TA acts as a strategic business partner, aligning talent acquisition with the company's long-term objectives.

Key skills include advanced sourcing, employer branding, labor market analysis, talent pipeline management, and candidate experience. Tools like LinkedIn Recruiter, ATS (Greenhouse, Lever, Ashby), and assessment platforms are essential.

TA professionals in technology companies are highly valued, especially those who master tech sourcing, workforce planning, and recruitment metrics like time-to-hire and cost-per-hire.

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.