Account Director, Education

United Kingdom
Last month
Job Type
Permanent
Work Location
Hybrid
Seniority
Director
Posted
5 Mar 2026 (Last month)

About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our ChatGPT Enterprise Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy.

Our EDU Account Director will specialize in working with education institutions and companies as they adopt OpenAI’s products. For example, this individual will focus on helping support universities K-12 institutions as they evaluate and adopt ChatGPT Enterprise for their administrators, faculty and students.

You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll represent OpenAI as a thought leader in AI, and partner with researchers, engineers, and solution strategists to help customers evolve their AI journeys. ChatGPT Enterprise (launched Aug’23) is being rapidly adopted by companies around the world, and we’re looking for tenured Account Directors to join our team and continue to bring both new customers onto the product, and expand existing ones.

This role is based in Sydney. We use a hybrid work model of 3 days in the office per week.

In this role, you'll:

  • Lead our enterprise prospects’ journeys from consideration to purchase.

  • Partner with Account Associates, Solutions Engineering and Customer Success to build and execute complex customer evaluations, demos, and pilots.

  • Forecast your pipeline and targets on a weekly basis.

  • Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies.

  • Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering.

  • Support the recruitment and onboarding of other teammates.

  • Support the development of company culture.

We're seeking someone with experience including:

  • Selling platform-as-a-service and/or software-as-a-service at a product-led growth company.

  • Experience selling into education institutions.

  • Achieving revenue targets >$1M per year for more than 6 years.

  • Designing and executing complex deal strategies.

  • Supporting the growth of fast-growing, high-performance companies.

  • Leading high-visibility customer events (CAB, conferences, product launches, etc.).

  • Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence.

  • Reporting on customer success activities.

You might thrive in this role if you:

  • Are customer-centric.You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their internal productivity and AI strategy. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.

  • Have a passion for or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.

  • Are a builder.You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.

  • Are excited by new challenges.You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.

  • Are a strategist.You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.

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.

Related Jobs

View all jobs

Senior Manager

Faculty AI London, United Kingdom
£0 pa Hybrid

Senior Solutions Architect (Strategic Account - Energy)

Databricks London, United Kingdom

Director, Customer Success - DACH

Synthesia London, United Kingdom
£80,000 – £120,000 pa Hybrid

Strategic Customer Success Manager - German Speaking

Synthesia London, Europe, SW7 2AP, United Kingdom
£40,000 – £60,000 pa Remote

Customer Success Manager - Spanish + Italian Speaking

Synthesia London, United Kingdom
£40,000 – £50,000 pa Remote

Manager, AI Deployment Engineering - Health & Life Sciences

OpenAI United Kingdom
Permanent

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.