> Markdown version of [/jobs/ext/4390828-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/4390828-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Engineer - **Company:** Integral Ad Science - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $100,800.0 - $172,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Business Process Modeling, Software as a Service, Python (Programming Language), Log Analysis, Systems Integration, Tableau (Software), Scripting, Application Enhancement Tool, Data Analytics - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=447cb04e6c962396 ## About the Role * 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., * 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. ## Description 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., * 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.