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OpenAI's Ads Solutions team is seeking a Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution.
In this role, you will partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. You'll lead technical discovery with advertisers and agencies to understand data flows, martech stacks, measurement requirements, and activation goals. You'll design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks.
You will guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. You'll troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance, and build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI's ads solutions.
Cross-functional collaboration is central to the role. You'll partner with Product and Engineering teams to escalate issues, advocate for customer needs, and influence roadmap priorities. You'll create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally, and help train internal sales and success teams on technical capabilities, integrations, and evolving product features.
You should have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role. Hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations is essential. You understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses. You can explain complex technical concepts clearly to both technical practitioners and executive stakeholders, and have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets. You're comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch, with strong ownership, bias for action, and customer empathy.
