Solutions Engineer, Ads Solutions - Singapore
openai
Job Score
100 ptsAbout the Team
OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity.
About the Role
We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. 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.
This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform.
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.
Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals.
Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks.
Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting.
Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance.
Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions.
Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities.
Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally.
Help train internal sales and success teams on technical capabilities, integrations, and evolving product features.
You will thrive in this role if you:
Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role.
Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations.
Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses.
Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders.
Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets.
Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch.
Demonstrate strong ownership, bias for action, and customer empathy.
Care deeply about responsible platform growth, user trust, and long-term partner success.
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.
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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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.
About Product Owner
The Product Owner (PO) is the professional responsible for maximizing the value of the product delivered by the development team. They act as the voice of the customer and stakeholders, managing and prioritizing the product backlog, defining clear user stories, and ensuring the team works on the most valuable items for the business.
Key skills include backlog management, user story writing, prioritization (Mascow, RICE), agile methodologies (Scrum, Kanban), and stakeholder communication. Knowledge of tools like Jira, Trello, Azure DevOps, and Miro is essential.
Product Owners are highly sought-after professionals in the technology market, working collaboratively with Scrum Masters, Product Managers, and engineering teams to drive agility and continuous value delivery.
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Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.
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Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.
CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).
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