Growth - Digital Marketing (Enterprise)

About the Team

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.

About the Role

We are hiring a B2B Enterprise Paid Marketing leader to build and scale global demand generation across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy for complex enterprise buying journeys, connect paid media to account-based marketing (ABM) programs, and own performance from target-account engagement through pipeline and revenue.

You will partner closely with Sales, GTM, field marketing, product marketing, marketing operations, data science, finance, design, and product to translate enterprise priorities into coordinated campaigns. This team combines rigorous measurement with close sales alignment, rapid experimentation, and a deep understanding of buying committees, long sales cycles, and regional enterprise needs.

In this role, you will:

• Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for enterprise audiences, including planning, forecasting, budget pacing, audience design, and performance management.
• Build and scale ABM programs across priority accounts and segments, coordinating paid media with sales outreach, field marketing, executive engagement, events, and lifecycle programs.
• Partner with Sales and GTM leadership to align investment with account priorities, territories, pipeline goals, and product or solution plays.
• Optimize performance across the enterprise funnel, from account engagement and qualified demand through opportunities, pipeline, and revenue, with clear attribution and incrementality frameworks.
• Develop audience and messaging strategies for buying committees, industries, company sizes, use cases, and stages of the enterprise purchase journey.
• Create a closed-loop operating rhythm with Sales and Marketing Operations that turns account-level signals, pipeline quality, and win/loss feedback into channel decisions.
• Design experiments and scalable playbooks across markets while accounting for regional sales motions, localization needs, privacy constraints, and platform nuances.
• Build AI-enabled creative, targeting, reporting, and optimization workflows that increase speed and personalization while maintaining quality and control.

You might thrive in this role if you have:

• 10+ years of B2B growth, demand generation, or performance marketing experience, including meaningful ownership of enterprise programs.
• 6+ years of deep, hands-on experience leading paid marketing across channels, including Paid Search, Paid Social, Programmatic, and Affiliate, at both an operational and strategic level.
• A strong track record building and scaling enterprise ABM programs that generate measurable account engagement, qualified pipeline, and revenue.
• Experience partnering closely with Sales, GTM, field marketing, product marketing, and marketing operations to plan and execute integrated campaigns.
• Deep understanding of complex B2B buying journeys, buying committees, long sales cycles, account segmentation, and sales-assisted conversion.
• Experience connecting media and account signals across CRM, marketing automation, intent, attribution, and BI systems to guide investment decisions.
• Strong analytical and experimentation skills, including incrementality, attribution tradeoffs, pipeline measurement, and translating analysis into action.
• Experience scaling enterprise marketing across international markets with thoughtful localization and alignment to regional sales motions.
• Excellent stakeholder management and communication skills, a test-and-learn mindset, and comfort operating in fast-moving environments and adopting AI-enabled workflows.

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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