Senior Product Engineer

About the role Getting a video campaign live means keeping a brand, its agencies and several ad platforms aligned, and much of that coordination is still done by hand. Creative Manager brings the media plan, specifications, assets, approvals and publishing into one shared workflow. Design partners already run real campaigns through it, and many of the important product and technical decisions are still open. The next step is to make it a product any agency can rely on every day. The hard part is making the open web as simple to buy as a walled garden. A walled garden has one platform and one set of rules. On the open web, every agency structures campaigns differently, every ad platform and publisher has its own formats and requirements, and several roles work on the same campaign. The product has to absorb that complexity without exposing it to the user. Getting the domain model, integrations and permissions right is what makes that possible, and what lets AI take on more of the coordination over time. Early work might include: Completing the path from approval to publishing across the ad platforms our partners use. Using AI to read media plans in whatever format an agency sends, with evals behind it and clear signals to the user where it is unsure. Handling hundreds of assets per campaign, with bulk changes and naming conventions. How we work Stay close to the problem. Engineers spend time with customers and our campaign producers alongside product and design, so the people building the product understand the workflow, the edge cases and why the problem matters. Discovery is shared work, and we explore options with prototypes before committing to a solution. Small teams, full ownership. The team decides how to solve the problem, how to structure the system and how to get it into production, and ownership continues after the code is merged. There is no separate architecture group handing down solutions. Ship early and measure. We get something useful in front of users quickly, measure what happens and improve from there. Campaigns have fixed deadlines, so reliability, observability and recovery are part of product development from the start. Use AI in the tools and in the product. We use Claude Code, Codex and other AI tools heavily in development, and engineers remain accountable for what ships. When AI is part of a product workflow, we treat evals, uncertainty, guardrails and failure modes as engineering problems in their own right. Follow the problem across boundaries. A product problem might start in the UI and lead into an API, the domain model, an integration, the data platform or the streaming infrastructure that handles billions of events a day. We expect engineers to follow it far enough to solve it properly. Qualifications You’ve taken customer-facing products from an unclear starting point into production and run them long enough to see which of your decisions held up. You’re a full-stack engineer in practice: you build complex UI flows for expert users and design the domain model, APIs and integrations behind them, with solid habits in performance, testing and failure handling. You bring product judgment to engineering: you understand how users actually work, and you know when to invest in foundations and when to ship something simpler. You use AI coding tools in your daily work, can explain how you verify their output, and can reason through a system and debug it without them. You raise the standard of the team through design reviews, code review and clear written reasoning. For reference, we build in TypeScript, with Vue, Node and PostgreSQL. With AI tools, a new stack is quick to pick up, so we hire for judgment and fundamentals rather than experience with specific frameworks. Bonus if you have experience with Creative or content production tools, advertising technology, complex B2B workflows, third-party platform integrations, high-volume event data or video delivery. Or LLM features in production. Application As we review applications and interview on a continuous basis, please apply as soon as possible. Due to the high volume of applications received, we are unable to provide personalized feedback prior to the interview stage. Thank you for understanding! We conduct background checks on all SeenThis-hires to comply with our customers and protect business-critical information. We look forward to welcoming you to SeenThis!