AI AdTech Solutions Engineer - Remote

About the Role

Gist, a Pro Rata brand, is redefining advertising for the AI era — building AI-powered, contextual ad experiences across premium digital media environments and emerging AI surfaces. Founded by Bill Gross, the inventor of pay-per-click advertising, Pro Rata brings unmatched credibility and conviction to the future of media monetization.

We're looking for a Solutions/Sales Engineer who is at home in a technical conversation — someone who can sit with a publisher's ad ops team, a AdTech solutions architect, or a platform engineer and go deep on implementation, troubleshoot in real time, and design integration approaches that actually work. Day-to-day, you'll be deeply embedded with Ads Engineering and BD, spending most of your time on partner integrations, ad ops collaboration, and technical solutioning — not in sales cycles.

This role reports to the CRO but operates primarily in the technical and partnership layer of the business. You'll be the connective tissue between Gist's internal engineering capabilities and the technical realities of our publisher, SSP/DSP, and platform partners — ensuring every integration is scoped correctly, implemented cleanly, and performing.

Partner Integrations & Ad Ops

• Own technical integrations end-to-end with publisher partners, SSPs, GAM, DSPs, and platform technology partners — from discovery and scoping through implementation and QA

• Lead technical working sessions with partner ad ops teams, solutions architects, and engineers to understand their infrastructure, tag architectures, and inventory configurations, then design integration approaches that fit their stack

• Serve as the primary technical point of contact during and after integration — triaging issues, coordinating with Gist's Ads Engineering team, and driving resolution

• Own implementation support for Gist's ad unit formats —AI-contextual formats — across web, app, and emerging AI environments

• Evaluate new tech partnership opportunities: assessing API compatibility, data flow requirements, and integration complexity to inform BD deal structuring

Business Development Support

• Work hand-in-hand with the BD team on publisher, GAM, SSP/DSP, and platform partnership development — providing technical scoping, feasibility assessment, and integration planning to support deal structuring and close

• Translate Gist's ad product capabilities into clear, technically credible narratives for partner engineering and ad ops counterparts

• Build and maintain integration documentation, tag specs, API guides, and technical FAQs that accelerate partner onboarding

• Represent Gist at industry events and partner meetings where technical depth and hands-on credibility are required

Engineering Collaboration & Feedback

• Serve as the primary feedback loop between live partner integrations and the Ads Engineering and Product teams — surfacing implementation pain points, partner requests, and ecosystem patterns that should shape the roadmap

• Collaborate with Engineering during new ad unit development to ensure partner feasibility and real-world integration constraints are built into the spec from the start

• Help define and evolve Gist's technical integration standards, tag specifications, and API documentation as the product and partner ecosystem grows

Occasionally support the Sales team with technical pre-sales needs — RFP responses, solution design, proof-of-concept scoping — but this is not the primary focus of the role

• 5–9 years of experience in AdTech, programmatic advertising, or digital media with hands-on technical depth — ideally in a Sales Engineering, Solutions Engineering, Ad Ops, or Technical Account Management role

• Mastery of the programmatic ecosystem:
OpenRTB, header bidding (Prebid.js), SSP/DSP integrations, ad serving (GAM/DFP), tag management, and bid stream mechanics

• Experience working across the supply chain — publisher-side ad ops, SSP solutions, DSP integrations, or agency trading desk technical teams

• Comfort reading and writing code at a functional level (JavaScript, Python, or similar); ability to review tag implementations, debug API calls, and interpret…