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Strategic Deals

openai

San Francisco
Uncategorized

Job Score

70 pts
On-site model (+70)

About the Team

The Industrial Compute team is responsible for building and scaling the infrastructure foundation that powers OpenAI’s research and products. The team works across compute strategy, infrastructure planning, hardware partnerships, and capacity management to ensure OpenAI can meet rapidly growing training and inference demands with resilient, efficient, and future-looking infrastructure systems.

About the Role

As a Strategic Deals Leader, you will help shape OpenAI's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. Operating at the intersection of infrastructure strategy, technology evaluation, commercial partnerships, and market development, you will identify and execute opportunities that expand OpenAI's access to the compute, infrastructure, and technologies required to support frontier AI systems.

You will work closely with engineering, infrastructure, finance, and executive leadership teams to evaluate emerging technologies, develop ecosystem strategies, assess build-versus-buy decisions, and cultivate strategic relationships across hardware vendors, cloud providers, data center operators, and the broader AI infrastructure ecosystem.

We’re looking for people who combine deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, technical curiosity, and the ability to build partnerships across a rapidly evolving industry landscape.

In this Role, You Will

  • Develop and execute strategies that expand OpenAI's access to compute, infrastructure, and emerging AI technologies.

  • Evaluate strategic opportunities across hardware platforms, cloud providers, infrastructure partners, and ecosystem participants.

  • Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term compute and ecosystem strategies.

  • Assess build-versus-buy tradeoffs across infrastructure, platform, and capacity decisions.

  • Build and manage relationships with hardware vendors, hyperscalers, cloud providers, data center operators, and emerging infrastructure companies.

  • Evaluate new infrastructure technologies and architectures to inform adoption, partnership, and deployment decisions.

  • Support commercial discussions and strategic partnerships that improve OpenAI's infrastructure flexibility, resilience, and long-term capacity position.

  • Monitor market, technology, and competitive developments across the AI infrastructure landscape and develop recommendations for leadership.

You Might Thrive in this Role if You

  • Have experience in AI infrastructure, cloud computing, semiconductors, data centers, distributed systems, or adjacent technology ecosystems.

  • Possess a strong understanding of compute infrastructure, accelerator technologies, cloud platforms, and infrastructure economics.

  • Have experience evaluating emerging technologies and developing long-term infrastructure or ecosystem strategies.

  • Can work effectively with technical teams and translate complex engineering concepts into strategic business recommendations.

  • Have experience building partnerships and influencing senior stakeholders across internal and external organizations.

  • Demonstrate strong analytical and strategic thinking skills, with the ability to operate in ambiguous and rapidly evolving environments.

  • Communicate effectively with both technical and business audiences, including executive leadership.

  • Are passionate about the future of AI infrastructure and the ecosystem required to support frontier model development.

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.

Discover Other Areas

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

About Customer Success

Customer Success is the area responsible for ensuring clients achieve their goals when using the product or service. It is a strategic function for retention, expansion, and customer satisfaction.

Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.

CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).

About Design

The Design field, especially UX/UI and Product Design, has experienced significant growth in recent years. With accelerated business digitization, the demand for professionals who can create intuitive and pleasant digital experiences has never been higher.

Key skills include Figma, Sketch, Adobe XD, user research, design thinking, prototyping, and system design. Product designers are increasingly valued for their direct impact on business results.

Remote work has opened doors for Brazilian designers to work for global companies, with competitive salaries in dollars and euros.

About Product Manager

The Product Manager (PM) is the professional responsible for defining the strategy, vision, and roadmap of a digital product. They work at the intersection of technology, business, and user experience (UX), leading the discovery and delivery of solutions that solve real problems in a viable way for the company.

Key skills include product discovery, data and metrics analysis (AARRR, NPS, LTV), user research, go-to-market strategy, roadmapping, strategic prioritization, and leadership by influence. Tools like Amplitude, Mixpanel, Hotjar, Jira, and Notion are fundamental.

Product Managers play a central role in the growth of startups, scale-ups, and large technology companies, with career progression opportunities to Product Leader, Head of Product, and Chief Product Officer (CPO).

About Tech Recruiter

The Tech Recruiter is a professional specialized in recruiting technology talent, from developers to AI engineers and DevOps professionals. They combine technical knowledge with recruitment skills to evaluate and attract highly qualified candidates.

Key skills include technical screening, analysis of technical profiles (GitHub, portfolios, blogs), knowledge of software stacks and architectures, networking in tech communities and events. Proficiency with tools like LinkedIn Recruiter, Gem, Ashby, and technical assessment platforms is a differentiator.

Tech Recruiters are scarce and highly paid professionals, especially those who can map and access passive talent in competitive markets like AI, data engineering, and cloud computing.

About Business Intelligence

Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.

Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.

BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.

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

How n8n and Automation Open Doors to Premium Jobs

The Paradigm Shift in Web Development

The web development market has matured. A few years ago, mastering a traditional stack (like MERN or LAMP) was enough to secure a highly sought-after role. Today, the corporate landscape — especially in US startups hiring globally and offering six-figure compensation — demands speed and operational efficiency. It's no longer just about building from scratch, but knowing how to integrate complex ecosystems rapidly.

According to Gartner, hyperautomation is one of the top strategic technology trends of the decade. The modern developer must be an integration architect, capable of connecting CRMs, databases, AI APIs, and payment gateways in a matter of hours, not weeks. This is exactly where n8n becomes an indispensable tool in your portfolio.

Why n8n? The Power of "Fair-Code"

n8n is a node-based workflow automation tool. Unlike competitors aimed at non-technical users (such as Zapier or Make), n8n was designed with the developer in mind first. It allows raw JavaScript injection for complex data manipulation, custom HTTP requests, and, most importantly, features a fair-code licensing model that allows it to be self-hosted on a company's own infrastructure.

For technical recruiters and CTOs, a candidate who masters n8n demonstrates maturity. It proves that you understand SaaS cost reduction and value the security and sovereignty of the company's data.

Practical Tips to Land Your Next Role

If you want your resume to pass rigorous ATS (Applicant Tracking System) screening — like Greenhouse or Ashby — and reach the hands of Tech Leads, here are the core skills you should highlight when associating Web Development with n8n:

  • Mastery of Webhooks and RESTful APIs: The foundation of automation is system communication. Demonstrate your ability to create n8n workflows that listen to native Webhooks from your application (e.g., a checkout event in a Next.js e-commerce app) and trigger subsequent actions with low latency.
  • Hosting and Docker: n8n's biggest differentiator is self-hosting. In your resume, mention your ability to package and orchestrate n8n instances using Docker and Docker Compose. Familiarity with Cloud providers (AWS, GCP, or DigitalOcean) to deploy these instances is a massive bonus.
  • Advanced JSON and JavaScript Manipulation: Show that you don't rely solely on pre-built integrations. Using the "Code" node in n8n to transform large JSON payloads using raw JavaScript or TypeScript is what separates a regular user from an automation engineer.
  • Error Handling and Resilience: Systems fail. APIs go down. An amateur automation will break a company's process. In your portfolio, document how you use Error Trigger nodes to build automated retries and send alerts to Slack/Discord when an integration fails.

Your Portfolio is the Ultimate Proof

Just listing "n8n" in the skills section of your resume isn't enough. Create a repository on GitHub containing a real-world use case. For example: export the JSON file of an n8n workflow that reads new leads from a PostgreSQL database, enriches the data using the OpenAI API, and sends them to a CRM. Add a detailed README.md explaining the architecture. This is the ultimate bait for Senior roles.

References and Further Reading