Responsibilities

• Define the vision, strategy, and operating model for Marketing Operations & Technology, including how AI should reshape the function.
• Build and lead a team spanning marketing operations, systems, automation, data, and technical execution.
• Own the marketing technology roadmap, deciding what to build, buy, integrate, consolidate, or retire.
• Establish core infrastructure across customer and account data, identity, segmentation, campaign orchestration, lifecycle management, scoring, attribution, experimentation, measurement, and sales handoffs.
• Connect product usage, customer engagement, and enterprise buying signals so Marketing and Sales can identify and respond to demand.
• Build AI-enabled workflows and agents that connect research, strategy, creative development, campaign execution, optimization, and learning.
• Partner with Engineering, Data, Product, Security, Privacy, and IT to create trustworthy, adaptable systems appropriate for OpenAI’s scale.
• Improve how teams prioritize work, run campaigns, evaluate performance, and make decisions—measuring success through customer experience, pipeline, speed, experimentation, data quality, and organizational capacity.

Requirements

• 12+ years of experience in marketing operations, marketing technology, growth infrastructure, revenue systems, or an adjacent technical function, including experience building or leading at meaningful scale.
• Understand CRM, marketing automation, campaign operations, customer data, lifecycle journeys, lead management, account-based marketing, attribution, reporting, and funnel performance.
• Can engage deeply on APIs, data models, integrations, automation, AI workflows, agents, experimentation, and system architecture.
• Have strong judgment about when to buy, build, or combine solutions—and have created a product, platform, workflow, company, or operating model that materially changed how people work.
• Use AI extensively and have firsthand experience building or experimenting with AI-powered tools, workflows, agents, or applications.
• Can connect product-led adoption signals with B2B marketing and sales motions to drive team and enterprise growth.
• Can attract and lead technical talent while partnering effectively with engineers and specialists across the company.
• Bring strong judgment about privacy, security, customer trust, data quality, and human oversight.
• Are comfortable setting direction amid rapid change and combine a founder’s ambition with the discipline to make complex systems work in practice.