Job Description:

Summary

As a Solutions Engineer at Integral Ad Science, you are the technical bridge between Sales, Product, and client teams—responsible for architecting and implementing advanced ad tech integrations. You leverage AI-powered tools and automation to accelerate client onboarding, troubleshoot complex issues, and deliver actionable insights. Your goal: maximize technical integration quality, streamline processes, and enable data-driven decisions for both IAS and its ad tech partners.

Key Responsibilities

• AI-Driven Integration:
  Design and deploy automated setups and AI-powered diagnostics for new client integrations, reducing time-to-value and minimizing manual intervention.
• Strategic Solutions Architecture:
  Lead technical discovery and solution design to drive platform expansion, crafting custom workflows, Proof-of-Concepts (PoCs), and architecture blueprints that directly map complex partner business goals to advanced platform features.
• Technical Expansion & Operational Flexibility:
  Serve as the technical lead for upsell and expansion opportunities by scoping complex, non-standard requests for commercial viability, while maintaining the cross-functional agility to provide consistent, reliable operational support for day-to-day business needs.
• Automation & Process Improvement:
  Build scripts, smart dashboards, or leverage workflow automation (e.g., for log parsing, alerting, or QA) to accelerate troubleshooting and reduce repetitive tasks.
• Client Enablement:
  Lead technical enablement for partners—training both technical and non-technical users on how to use IAS’s AI features for campaign optimization and analytics.
• Escalation & Cross-Functional Partnership:
  Act as the technical escalation point for unique or high-complexity issues, collaborating closely with Product, Engineering, and Data Science to resolve and learn from edge cases.
• Revenue Alignment:

Align technical integration strategies with business objectives to maximize revenue impact and support long-term growth.

• Feedback Loop:
  Gather client and partner feedback on AI-driven features, surface recurring issues or requests, and advocate for improvements that enhance automation and efficiency.

Required Skills & Qualifications

• 4+ years in Solutions Engineering, Technical Services, or Platform Support (AdTech, MarTech, or SaaS preferred).
• Experience managing, troubleshooting integrations, working at, or with major social media platforms (e.g., Meta, TikTok, Snap, X) and an understanding of their specific ecosystems and ad-serving constraints.
• Proven experience with APIs, web integrations, and automation/scripting (Python, JS, etc.); strong understanding of AI/ML principles and applications in ad tech.
• Hands-on with analytics stacks (e.g., BigQuery, Tableau, custom BI) and log/data investigation.
• Strong communicator—comfortable translating technical concepts for various audiences.
• BA/BS or equivalent experience required.

Success Measures

• Reduction in client onboarding and integration time.
• Documented improvements in automation and AI feature utilization across the client base.
• High partner satisfaction with technical enablement and troubleshooting.
• Delivered measurable product enhancements by identifying critical technical gaps and advocating for high-impact features that streamlined usability for strategic clients.

IAS Pay Transparency:

The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate’s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.

Primary Location:

Primary Location Base Pay Range:

Additional Locations:

Additional Locations Pay Range:

About Integral Ad Science:

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.