← Back to jobs

Deal Strategy, Emea

openai

Híbrido Dublin, Ireland
Uncategorized

Job Score

80 pts
Hybrid model (+80)

About the Role

OpenAI is seeking a senior, hands-on commercial strategist to support Deal Strategy across EMEA while personally shaping and executing some of our most complex and high-impact commercial opportunities. As AI becomes increasingly important to how organizations operate, the ability to translate sophisticated products and commercial structures into clear, compelling customer narratives is a strategic advantage.

This is a hands-on individual contributor role focused on establishing and executing the EMEA Deal Strategy motion. You will work directly with sellers and cross-functional partners to shape deal strategy, structure commercial approaches, develop value narratives and business cases, and support negotiations through contractual closure.

You will also translate insights and patterns from individual deals into practical frameworks, tools, and resources that improve the quality, consistency, and scalability of deal execution across the field.

This role partners closely with Sales, Pricing, Deal Desk, Strategy, Revenue Operations, Finance, Product, and Legal to help OpenAI move quickly, strengthen proposal quality, and navigate complex commercial opportunities effectively.

In this role, you will:

  • Partner directly with EMEA account teams on complex, high-value, and strategic opportunities, from initial deal strategy through customer proposal, negotiation, and deal closure.

  • Develop deal strategies that bring together customer priorities, commercial considerations, competitive positioning, and OpenAI’s broader business objectives.

  • Create executive- and CFO-ready proposals, ROI analyses, value narratives, and business cases for highly complex and/or first-of-kind deals.

  • Support critical customer and executive conversations by presenting recommendations, business cases, and the rationale behind proposed commercial approaches.

  • Build and maintain practical ROI frameworks, calculators, proposal templates, and value narratives that account teams can apply across opportunities.

  • Contribute to scalable deal-support mechanisms, including negotiation playbooks, deal clinics, office hours, and structured intake processes.

  • Partner with Pricing, Deal Desk, Finance, Product, Legal, Revenue Operations, Enablement, and Strategy to ensure deal recommendations reflect current products, commercial guidance, and business priorities.

  • Turn lessons from strategic and bespoke deals into reusable resources that improve speed, consistency, and seller productivity.

  • Apply AI to improve deal workflows and scalability through tools such as automated deal briefs, knowledge retrieval, guided proposal development, and self-service resources.

  • Identify recurring themes across strategic deals and share insights that can inform future commercial approaches, field motions, products, and policies.

You might thrive in this role if you have:

  • 8+ years of experience in deal strategy, strategic sales, strategic pricing, commercial strategy, or a related function, ideally with regional or multi-market scope.

  • Experience partnering directly with sales teams on highly complex, high-value, or first-of-kind commercial opportunities.

  • A track record of personally developing deal strategies, customer proposals, ROI models, or business cases that advanced commercial outcomes.

  • Strong communication and storytelling skills, with the ability to translate complex products and commercial concepts into clear, compelling customer narratives.

  • Financial and analytical rigor, including experience developing ROI analyses and executive- or CFO-ready materials.

  • Experience collaborating across Sales, Finance, Product, Legal, Pricing, and Operations to navigate complex commercial decisions.

  • Strong judgment and the ability to bring structure and clarity to ambiguous or highly bespoke commercial situations.

  • A hands-on, execution-oriented working style and comfort operating directly with account teams and customers in fast-moving deal cycles.

  • Familiarity with using AI to improve workflows, scale expertise, and increase productivity.

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.

What did you think of this job?

Comments 0

Want to leave a comment?
Sign in or create your account in seconds to join the discussion.
Loading comments...

Discover Other Areas

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

About People Analyst

The People Analyst is the professional responsible for transforming people data into strategic insights for HR decision-making. They combine data analysis knowledge with people management vision to help organizations understand workforce metrics, turnover, engagement, and diversity.

Key skills include people analytics, workforce analytics, turnover and retention analysis, HR metrics (time-to-hire, cost-per-hire, e-NPS), data visualization (Power BI, Tableau, Visier), workforce planning, and compensation analysis. Knowledge of statistics, SQL, and people analytics tools is a differentiator.

People Analysts in technology companies are highly valued, especially those who can translate complex people data into actionable insights for retention, diversity, and growth strategies. The field offers opportunities from HR analyst to head of people analytics, with a focus on data-driven people management.

About Frontend

The Frontend area is responsible for creating the visual interfaces that users interact with on websites and web applications. Frontend professionals combine technical skills with design to deliver intuitive, responsive, and accessible digital experiences.

Key skills include HTML, CSS, JavaScript/TypeScript, frameworks like React, Angular, and Vue, build tools (Webpack, Vite), CSS (Tailwind, Sass), testing (Jest, Cypress), and knowledge of web performance and accessibility (WCAG). Familiarity with design systems and reusable components is a differentiator.

Frontend developers in technology companies are highly valued, especially those who master React, Next.js, web performance, and accessibility. The field offers opportunities from junior developer to frontend architect, with a focus on user experience, performance, and code quality.

About Ecommerce Analyst

The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.

Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.

Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.

About Finance

The Finance area in technology companies combines traditional financial knowledge with advanced digital tools. FP&A, controlling, and corporate finance professionals are essential for the organization's financial health.

Key skills include financial modeling, metrics analysis (MRR, ARR, LTV, CAC), ERP (SAP, Oracle), and BI tools. Certifications like CFA and CPA-20 are differentiators.

The financial sector offers stable opportunities with competitive salaries, especially in fintechs and large technology companies.

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.

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.