2 months ago
Singapore, SingaporeSenior
Responsibilities
- Partner with Client Partners during sales cycles to provide technical expertise and accelerate deal closure.
- Lead technical discovery with advertisers and agencies across data flows, martech stacks, measurement requirements, and activation goals.
- Design and recommend implementations for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks.
- Guide advertiser onboarding and launch readiness, including tracking, attribution, audience signals, and reporting.
- Troubleshoot implementation, signal quality, delivery, and measurement performance issues.
- Build demos, proofs of concept, and technical narratives for OpenAI’s advertising solutions.
- Collaborate with Product and Engineering to escalate issues, advocate for customers, and influence roadmap priorities.
- Create technical documentation, playbooks, and best practices to scale advertiser adoption globally.
- Train internal sales and success teams on technical capabilities, integrations, and product features.
Requirements
- 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 and data integrations.
- Understanding of advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses.
- Ability to explain complex technical concepts to technical practitioners and executive stakeholders.
- Experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets.
- Comfort operating in ambiguous, fast-moving environments and building processes from scratch.
- Strong ownership, bias for action, customer empathy, and commitment to responsible platform growth and user trust.
Tech Stack
Categories
Solutions Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.