New opportunity

Solutions Engineer, Ads Solutions - Singapore

OpenAI · Singapore

About this role

The Ads Solutions Engineer will partner with advertisers and agencies throughout the pre-sales and growth lifecycle to help them evaluate, launch, and scale on OpenAI’s advertising platform. This role serves as a technical expert, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. The position sits at the intersection of sales, product, and engineering, requiring close collaboration with Client Partners, Customer Success, Product, Engineering, Policy, and Operations teams to remove technical blockers and shape the future of the ads platform. Responsibilities include leading technical discovery, designing implementation approaches for pixels and APIs, guiding onboarding, troubleshooting technical issues, building demos and proofs of concept, and creating technical documentation and playbooks. Candidates must have at least 5 years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role. Required technical skills include hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, CRM/data integrations, and proficiency in SQL and API usage. Strong communication skills are essential for explaining complex concepts to both technical and executive stakeholders. The role requires the ability to operate in ambiguous, fast-moving environments and a commitment to responsible platform growth and user trust. This is a hybrid role based in Singapore, requiring presence in the local office three days per week.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Solutions EngineeringSales EngineeringTechnical Account ManagementAdtechMartechDigital Advertising MeasurementPixelsConversion APIsMobile MeasurementIdentity SolutionsCRM IntegrationsData IntegrationsTag ManagersCDPsAnalytics ToolsAttribution PlatformsData WarehousesSQLAPIsDebugging

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Technical Sales Enablement
Partnering with Client Partners to provide technical expertise during the pre-sales lifecycle is critical to unlocking new business and accelerating deal closure. You must be able to translate complex advertiser objectives into actionable technical solutions.
Implementation and Integration Design
You are responsible for designing and recommending technical approaches for pixels, APIs, server-to-server integrations, and identity solutions. This requires deep hands-on knowledge of how to integrate OpenAI's advertising platform with diverse advertiser martech stacks.
Cross-Functional Product Advocacy
Serving as the bridge between sales, product, and engineering teams to escalate customer needs and influence the ads platform roadmap. You must effectively communicate technical blockers and advocate for features that drive long-term platform success.
Scalable Technical Documentation
Creating repeatable playbooks, best practices, and technical documentation is essential to scale advertiser adoption globally. You must be able to codify your technical knowledge into resources that internal teams and external partners can utilize.

Likely challenges to think through

Navigating Ambiguity in a New Platform
As the ads platform is evolving, you will likely face undefined processes and shifting requirements. Prepare by demonstrating your ability to build structure from scratch and your comfort with operating in fast-moving, high-growth environments.
Translating Technical Complexity for Stakeholders
You must balance the needs of technical practitioners with those of executive stakeholders who may lack deep technical expertise. Prepare by practicing how to explain complex measurement or integration concepts in a way that highlights business value and ROI.
Balancing Growth with Platform Integrity
The role requires driving revenue growth while strictly adhering to standards for user trust and responsible platform development. Prepare to discuss how you have navigated similar trade-offs between aggressive sales goals and long-term platform safety or policy constraints.

Practice your answers

Technical practice

Conversion API vs. Client-Side Pixels

What to coverExplain the technical trade-offs between implementing client-side pixels and server-to-server Conversion APIs. Discuss how each approach impacts data accuracy, signal quality, and user privacy, especially in environments with restricted third-party cookies.

SQL for Marketing Data Analysis

What to coverDescribe how you would use SQL to join disparate datasets from a CRM and an ad platform to calculate return on ad spend (ROAS). Focus on handling null values, data normalization, and identifying attribution gaps.

Troubleshooting Signal Loss

What to coverIf an advertiser reports a discrepancy between their internal conversion data and the ad platform's reporting, what is your systematic debugging process? Include steps for verifying pixel triggers, API payload validation, and attribution window settings.

Identity Solutions and Privacy

What to coverHow do you approach identity resolution in a privacy-first advertising ecosystem? Discuss the role of first-party data, hashed identifiers, and how you would guide an advertiser to implement these securely.

API Integration Architecture

What to coverWhen designing a server-to-server integration for an enterprise client, what technical considerations are critical for scalability and reliability? Address topics like rate limiting, error handling, and data security.

Data Warehouse Integration

What to coverExplain how you would assist a client in syncing their data warehouse with an advertising platform for audience activation. Discuss the common challenges in data mapping and ensuring real-time or near-real-time synchronization.

Mobile Measurement Frameworks

What to coverWhat are the unique technical challenges of mobile app measurement compared to web-based tracking? Explain the role of Mobile Measurement Partners (MMPs) and how you would integrate them into a broader ad strategy.

Technical Documentation for Non-Technical Stakeholders

What to coverHow do you translate complex technical requirements, such as API documentation or pixel implementation guides, into actionable playbooks for non-technical Client Partners? Provide an example of how you simplify technical jargon without losing critical accuracy.

Behavioural practice

Navigating Ambiguity in New Processes

What to coverDescribe a time you had to build a technical process from scratch in a fast-moving environment. Focus on how you identified the need, gathered requirements from stakeholders, and ensured the final process was scalable.

Cross-Functional Collaboration

What to coverGive an example of a time you worked with Product or Engineering teams to resolve a technical blocker for a client. How did you advocate for the client's needs while respecting the product roadmap and technical constraints?

Managing Technical Expectations

What to coverTell me about a situation where you had to explain a technical limitation to an executive stakeholder who wanted a specific feature. How did you maintain the relationship while providing a realistic alternative or solution?

Customer Empathy in Technical Support

What to coverDescribe a time you helped an advertiser through a complex onboarding process that was failing. How did you balance the technical troubleshooting with the need to maintain the client's confidence and trust?

Sharpen your knowledge

Topics to prepare

Digital Advertising Measurement and Attribution
Review the mechanics of how conversion tracking, pixels, and server-to-server APIs function within modern adtech ecosystems. Exercise: Map out a data flow for an offline conversion event, identifying where signal loss occurs and how to reconcile it using identity solutions. This is relevant to the role's requirement for designing implementation approaches and troubleshooting signal quality.
Technical Sales Lifecycle and Discovery
Study the methodology of technical discovery in a pre-sales context, focusing on how to translate business objectives into technical requirements. Exercise: Draft a discovery questionnaire for a hypothetical advertiser looking to integrate their CRM data with an ad platform. This is relevant to the role's core responsibility of partnering with Client Partners to unlock new business.

Skills to revise

SQL for Data Analysis
Practice writing complex queries to join disparate datasets and identify trends in campaign performance. Exercise: Write a SQL query to calculate the conversion rate from a raw event log table joined with a user metadata table. This is relevant to the requirement for working with structured datasets and troubleshooting measurement performance.
API Integration and Debugging
Gain hands-on experience with RESTful APIs, specifically focusing on authentication, payload structure, and error handling. Exercise: Use a tool like Postman to simulate a Conversion API request, intentionally introducing a malformed payload to practice debugging the response. This is relevant to the role's need to guide advertisers through API-based integrations.

Your preparation checklist

Map your adtech experience to the OpenAI ecosystem
Prepare a summary of your past work with pixels, Conversion APIs, and server-to-server integrations. Be ready to explain how you have previously solved complex measurement or attribution challenges for advertisers using similar technical stacks.
Develop a technical case study for a mock discovery session
Create a brief walkthrough of a past project where you led a technical discovery process. Focus on how you identified a client's data flow, diagnosed a technical blocker, and designed a scalable solution that aligned with their business objectives.
Refine your SQL and API technical narrative
Prepare to discuss specific instances where you used SQL to analyze campaign performance or APIs to automate data activation. Be ready to explain your debugging process when troubleshooting signal quality or integration issues.
Prepare to explain technical concepts to non-technical stakeholders
Practice translating complex technical requirements—such as identity solutions or data privacy frameworks—into clear, actionable language suitable for both engineering teams and executive stakeholders.
Formulate strategic questions for the interviewers
Prepare thoughtful questions regarding the current challenges of scaling OpenAI's ads platform, how the team balances user trust with advertiser performance, and how the role collaborates with product teams to influence the roadmap.

Availability has not yet been verified. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in Singapore. Matched to this role, not your profile.

Explore more jobs

Finding similar opportunities…