ABOUT THIS TEAM:

We are hiring dedicated channel leaders to own and scale Paid Search or Paid Social globally. This leader will define channel strategy, oversee execution at scale, and partner cross-functionally to maximize incremental impact and long-term user value. These are high-ownership roles responsible for channel strategy, day-to-day execution, experimentation, and performance outcomes across a global portfolio.

You will partner closely with product, engineering, data science, finance, design, and broader marketing to connect out-of-product experiences to in-product journeys, improve conversion, and optimize for long-term value (LTV), not just top-of-funnel efficiency. This team thrives on rapid iteration, rigorous measurement, and creative problem solving, while keeping user value at the center of every decision.

This role is based in San Francisco. 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:

• Own channel strategy and execution for either Paid Search or Paid Social, including planning, forecasting, budget pacing, and performance management across a global portfolio.

• Drive experimentation and incrementality measurement, defining hypotheses, designing tests (e.g., geo/holdout where feasible), and translating results into scalable playbooks.

• Optimize full-funnel performance, from acquisition through activation and retention, with a focus on durable unit economics (LTV/CAC, payback, cohort quality).

• Build and evolve performance systems, including reporting, decision frameworks, and operational processes that improve speed, quality, and repeatability.

• Partner cross-functionally with product, engineering, and data science to improve conversion journeys, measurement foundations, and growth tooling.

• Develop AI-enabled workflows that increase iteration velocity across creative, targeting, insights, and optimization, while maintaining quality and control.

• Expand global reach thoughtfully, incorporating localization, regional platform nuance, and market-level performance differences.

• Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.

You might thrive in this role if you have:

• 8+ years of experience in growth or performance marketing, ideally in high-growth tech and/or subscription products.

• 6+ years of deep, hands-on experience owning Paid Search or Paid Social at an operational and strategic level.

• A track record of launching, scaling, and optimizing paid programs at significant budget levels with clear performance outcomes.

• Experience scaling global programs across multiple languages/regions with nuanced localization strategies.

• Strong analytical and measurement skills, including comfort with experimentation, incrementality concepts, and translating analysis into decisions.

• Experience partnering cross-functionally (product, engineering, data science, finance) to ship improvements and build durable growth systems.

• A test-and-learn mindset and comfort operating in fast-moving, ambiguous environments.

• Excellent stakeholder management and communication skills, with the ability to align teams around goals, tradeoffs, and execution plans.

• Experience with marketing tooling, BI, and measurement stacks (e.g., analytics, experimentation platforms, internal reporting), plus a willingness to adopt 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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.

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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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

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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.