prorata - Sales Engineer, Gist Ads
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Requirements
• 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 log-level ad data without hand-holding from Engineering • Strong understanding of ad quality, brand safety, viewability measurement, and third-party verification (IAS, MOAT, DV) as they apply to display and emerging format types • Experience supporting integrations with major SSPs (Index Exchange, Magnite, PubMatic, Xandr, Teads, Sovrn, or similar) and/or DSPs • Exceptional communication skills — able to lead technical conversations with engineers and simplify complex concepts for non-technical stakeholders in the same meeting • Startup mindset: you thrive in environments where the product is still being defined, the playbook doesn't exist yet, and you're expected to build it • Bonus: experience with AI ad surfaces, contextual targeting, or native ad units; familiarity with GEO/AEO concepts and AI-driven content environments • WORK ENVIRONMENT • This is a remote/hybrid role. We are open to candidates based in Los Angeles, CA, New York City, NY, Chicago, IL, Austin, TX or other major US markets. Employees are expected to have a reliable internet connection and a suitable home office setup. Travel required (~25–30%) for partner visits, integrations, and industry events.
Responsibilities
• 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
Benefits
• The compensation for this position is competitive and commensurate with experience, including: • Base salary range: $150,000 – $175,000 • Equity participation • Opportunity to work at the forefront of AI technology • Collaborative and innovative work environment • Competitive salary and benefits package • Professional development and growth opportunities • Chance to make a significant impact on the company's success • Equal Employment Opportunity
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