Jobs / United States / OpenAI UK Ltd
Lead, Ads Prospecting & Customer Intelligence
OpenAI UK Ltd · 🇺🇸 San Francisco
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
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- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — OpenAI UK Ltd
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About the role
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering OpenAI’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward. Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners. In This Role, You Will - Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes. - Define a unified prospect, account, contact, and advertiser data model. Establish 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. Evaluate 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 that use 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. Establish permissions, suppression, auditability, and provider-performance standards. You Might Thrive in This Role If You - Bring substantial experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology. - Demonstrate ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes. - Apply strong product judgment to prioritize opportunities, define useful solutions, and sequence delivery. - Translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into clear system requirements. - Design practical solutions with marketers and sales teams, grounded in their campaign and customer workflows. - Explore data and test ideas with tools such as analytics platforms, SQL, APIs, automation, or AI-assisted prototyping. Production engineering experience is