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About the Role
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 is to maximize technical integration quality, streamline processes, and enable data-driven decisions for both IAS and its ad tech partners.
Responsibilities
- Design and deploy automated setups and AI-powered diagnostics for new client integrations, reducing time-to-value and minimizing manual intervention.
- Lead technical discovery and solution design to drive platform expansion, crafting custom workflows, Proof-of-Concepts (PoCs), and architecture blueprints that map complex partner business goals to advanced platform features.
- Serve as the technical lead for upsell and expansion opportunities by scoping complex, non-standard requests for commercial viability, while maintaining cross-functional agility to provide consistent, reliable operational support.
- Build scripts, smart dashboards, or leverage workflow automation for log parsing, alerting, or QA to accelerate troubleshooting and reduce repetitive tasks.
- Lead technical enablement for partners, training technical and non-technical users on how to use IAS’s AI features for campaign optimization and analytics.
- Act as the technical escalation point for unique or high-complexity issues, collaborating with Product, Engineering, and Data Science to resolve edge cases.
- Align technical integration strategies with business objectives to maximize revenue impact and support long-term growth.
- Gather client and partner feedback on AI-driven features, surface recurring issues or requests, and advocate for improvements that enhance automation and efficiency.
Requirements
- 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 understanding their 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.
Skills
- AI-powered tools
- Automation
- AI-driven diagnostics
- Solutions Architecture
- Workflow automation
- Scripting (Python, JS)
- API integration
- Web integration
- AI/ML principles
- Analytics stacks (BigQuery, Tableau)
- Log/data investigation
Location
- US - New York, NY
- US - Chicago, IL
Work Type
- Full-time
Experience Level
- 4+ years
Education Level
- BA/BS or equivalent experience
Salary/Compensations
- $100,800.00 - $172,800.00 Annual (Primary Location: US - New York, NY)
- 89,600.00 - 153,600.00 USD Annual (Additional Locations: US - Chicago, IL)
Benefits
- Paid time off
- Health insurance (medical, dental, vision)
- PPO, HSA and FSA options
- 401k with employer matching contributions
- Competitive compensation
- Eligible for an annual bonus and/or other incentive plans
About the Company
- 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
- 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.