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OpenAI is building the next generation of advertising for an AI-powered world. The SMB Ads Marketing team is creating a new opportunity to help small and medium-sized businesses discover and succeed with OpenAI's advertising platform.
You will lead the prospecting function for the ads business, owning the strategy, roadmap, operating model, and adoption of the intelligence and orchestration platform that powers OpenAI's ads business. This role combines customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth.
Key responsibilities include:
- Lead the function's strategy, roadmap, operating model, and adoption, connecting platform investments to measurable advertiser and business outcomes.
- Define a unified prospect, account, contact, and advertiser data model with standards for identity, data quality, provenance, freshness, confidence, and consent.
- Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement.
- Design enrichment and verification workflows, evaluating in-house capabilities, platforms, vendors, APIs, AI, and human review to select effective solutions.
- Develop scoring and next-best-action models using customer fit, intent, activity, reachability, lifecycle stage, and growth potential.
- Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys through coordinated routing and activation.
- Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns through intuitive systems with quality checks and approvals.
- Build feedback loops using outreach, engagement, conversion, spend, retention, churn, and customer-success outcomes to improve targeting and lifecycle decisions.
- Measure data quality, coverage, targeting accuracy, deliverability, conversion, and incremental value, establishing permissions, suppression, auditability, and provider-performance standards.
You will work closely with Product, Ads Engineering, Data Science, Sales, and internal platform teams. You will decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners.
Qualifications:
Required: Substantial experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology. Demonstrated ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes. Strong product judgment to prioritize opportunities, define useful solutions, and sequence delivery. Ability to translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into clear system requirements. Experience designing practical solutions with marketers and sales teams, grounded in their campaign and customer workflows. Comfort exploring data and testing ideas with analytics platforms, SQL, APIs, automation, or AI-assisted prototyping (production engineering experience not required). Ability to evaluate build, buy, and integration choices across CRM, marketing automation, customer data platforms, and campaign-execution systems. Capability to lead a small team and build alignment with senior cross-functional partners. Sound judgment regarding privacy, consent, deliverability, data rights, governance, and customer trust. Relevant experience in advertising, SMB or self-serve businesses, product-led SaaS, marketplaces, commerce, fintech, enterprise go-to-market, or other multi-segment customer journeys.
Preferred: Experience building prospecting or customer intelligence platforms for advertising, SMB, or self-serve businesses. Track record combining customer and intent data to improve targeting and conversion. Experience deploying enrichment, scoring, and next-best-action models across marketing and sales. Experience integrating data vendors, CRM, marketing automation, and customer data platforms. Hands-on experience using SQL, APIs, automation, or AI to validate growth solutions. Experience building feedback loops and governance practices that improve performance, data quality, and trust.
