About the team
OpenAI’s Go To Market team helps organizations understand, adopt, and deploy highly capable AI systems safely and effectively. We partner across Sales, Solutions, Product, Engineering, Research, Support, Marketing, and Partnerships to help customers turn frontier AI into durable business impact.
About the role
As an Account Director focused on Quantitative Trading, you will own executive and technical relationships with leading buy-side investment firms, including some of the most sophisticated multi-manager, systematic, and data-intensive investment platforms in the world.
This is a highly technical enterprise sales role. You will work with CIOs, CTOs, Heads of AI, data leaders, platform engineering teams, portfolio managers, researchers, and compliance stakeholders to help firms deploy OpenAI across research, data analysis, coding, knowledge retrieval, model evaluation, internal AI platforms, and production workflows.
The ideal candidate can move fluidly between board-level value, front-office investment workflows, and deeply technical conversations about APIs, model routing, evals, retrieval, data security, observability, and responsible deployment in regulated environments.
This role will be based in New York City or San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
In this role, you’ll:
- Manage a focused portfolio of quantitative trading and alternative asset management accounts, developing long-term strategic account plans.
- Lead complex, multi-stakeholder sales cycles across executive, investment, technology, data, AI, research, legal, security, and compliance teams.
- Build trusted relationships with highly technical buyers and internal platform teams who evaluate, integrate, and govern AI across the firm.
- Partner with Solutions, Product, Engineering, and Research to design pilots and scaled deployments with measurable business impact.
- Help customers identify high-value AI use cases across investment research, data analysis, document intelligence, coding, market monitoring, workflow automation, and internal AI platform development.
- Navigate regulated, security-sensitive environments with strong judgment around privacy, compliance, information barriers, and responsible AI deployment.
- Own revenue, consumption, pipeline, and forecast performance for your book of business.
- Track market structure, technology trends, and AI adoption patterns across quantitative trading accounts
- , multi-manager platforms, systematic investors, and adjacent buy-side firms.
- Partner cross-functionally with marketing, partnerships, product, and communications to build OpenAI’s quantitative trading go-to-market motion.
You might thrive in this role if you:
- Have 14+ years of experience selling complex enterprise software, platform, API, cloud, data, AI, or infrastructure products.
- Have 4+ years selling into financial services, ideally quantitative trading asccounts, asset managers, capital markets, or other technically sophisticated buy-side institutions.
- Have a strong track record exceeding annual revenue targets of $2M+ in complex enterprise environments.
- Are credible with both C-suite executives and deeply technical stakeholders, including engineering, data, AI/ML, research, and platform teams.
- Understand how quantitative trading and investment firms use data, research, analytics, software, and internal platforms to create differentiated investment processes.
- Can translate technical AI capabilities into practical business value for investment, research, engineering, and operational teams.
- Have experience with API-first products, developer platforms, data infrastructure, AI/ML platforms, or similarly technical enterprise solutions.
- Are comfortable navigating ambiguity, competitive accounts, long sales cycles, security reviews, and fast-moving customer priorities.
- Are customer-centric, intellectually curious, and energized by working with some of the most technically demanding customers in financial services.
- Are a builder who can help create a repeatable sales motion in a high-potential vertical that is still taking shape.
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.
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