EMEA Strategy and Operations

Descripción del puesto

About the Team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our EMEA organization translates OpenAI’s global mission and strategy into meaningful local impact, working across Growth, Product, Marketing, Partnerships, Finance, Research, Operations and Compliance. About the Role As EMEA Strategy and Operations lead, you will develop country and regional strategies, identify the most important market opportunities and barriers, align cross-functional teams around a focused set of priorities, and personally drive initiatives through to measurable outcomes. This is an individual-contributor role. The primary focus is Consumer, with opportunities to create adjacent impact across B2B. You will go deep in a small number of priority markets while building approaches that can scale across EMEA. This is not a strategy-only role. The successful candidate will combine rigorous analysis and market judgment with urgency, hands-on execution and the ability to influence without formal authority. This role is based in London or Paris. 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: Build country and regional strategies: Develop plans, priorities and forecasts for key European markets and translate company strategy into practical local action. Drive growth and conversion: Use data, customer insight and experimentation to improve acquisition, engagement, retention, conversion and monetization. Lead market expansion and localization: Identify opportunities, build scalable launch frameworks and determine where products and go-to-market should adapt. Turn strategy into execution: Personally move initiatives from diagnosis and prioritization through delivery, measurement and iteration. Lead cross-functional teams: Align Product, Growth, Marketing, Brand, Partnerships, Finance, Research, Operations and Compliance around shared outcomes. Represent regional