Product Manager (AI-Powered Media Buying)

Posted 7/8/2026 · last confirmed live 8/26/2026

About TubeScience Labs TubeScience Labs is the applied-AI team inside TubeScience — the largest performance-video company in paid social. TubeScience is Meta's largest creative partner and AppLovin's #1 creative partner, producing 8,000+ original ads every month from a 100,000 sq ft Los Angeles studio, backed by a library of 1.6 million+ performance ads and $2B in annual managed ad spend. That makes one of the richest first-party creative-performance datasets anywhere. Labs turns that data — and the playbook behind billions in spend — into frontier AI tools that actually ship. Our products run in production against real creative, real deadlines, and real budgets every day. The tools that graduate internally become products we ship to external clients.   About the Role We’re looking for a Product Builder with 3-5+ years of experience who can own the development of AI-powered media buying products — someone who ships fast, thinks in user journeys, and builds alongside engineers using modern AI tools. You’ll shape product evolution and prioritization in a data-heavy, fast-moving vertical — owning standalone app sections and collaborative feature integrations across our existing tools. You’ll prototype, build, and ship using AI coding tools like Claude Code, working closely with our engineering team. This role is in-person, in our Los Angeles headquarters.   In this role, you will: Build AI-powered products — Use AI coding tools to prototype and ship alongside engineers Shape the roadmap: Bring a product and engineering point of view to how this tooling grows — what we build, in what order, and why. Design cohesive experiences — Unify multiple verticals into one product that feels seamless Collaborate with engineering — Work closely with the team, speaking the same language   You might be a good fit if you: Have media buying experience — you understand advertising industry pain points Have 3–5+ years of product experience — you know what good looks like and how to get there Have a strong UX sensibility — you build tools that feel obvious and pleasant to use, not just ones that technically work. Have worked with APIs and can integrate LLM APIs without hand-holding. You’re energized by how fast AI changes the landscape and excited to disrupt legacy practices Learn fast in new domains — you don't need to know advertising coming in, but you need to pick it up quickly, and pick up our proprietary methodology alongside it. Ship things, document things, and own things — and want measurable impact on a real business, not indefinite prototyping.   Strong candidates may also have: Experience integrating AI into production workflows. Experience building internal tools or platforms from scratch and living with the foundational decisions. Annual Salary: $100,000–$140,000, depending on experience, with eligibility for a performance bonus. How we're different Most AI tools never leave the demo. Ours can't hide — they're used by expert teams who notice every miss, against a real P&L, all day, every day. We're a small, senior group of scientists and veteran engineers from leading tech and consumer companies, and we hire deliberately for people who want hard problems, real users from day one, and room to own things end to end. We work in tight loops: an idea can go from a prototype to a product in front of operators and clients in days. We start with unique leverage — proprietary data and the industry-leading playbook behind billions in ad spend — build the tools in-house, prove them in production at massive scale, and then ship the winners beyond TubeScience. Velocity beats perfection until something earns the right to scale. Come work with us! TubeScience Labs is the applied-AI team inside TubeScience, headquartered in Los Angeles. You'll join a small, senior group with an outsized surface area: real autonomy, a one-of-a-kind dataset, and a direct line from your code to real customers. We offer competitive compensation, comprehensive benefits, plus generous access to frontier and open-weight models for day-to-day work, prototyping, and evals. Most of all, we offer the rare thing in applied AI: hard problems, expert users from day one, and the room to take an idea from prototype to shipped product. Come build at the frontier with us! We encourage you to apply even if you don't believe you meet every single qualification. Not all strong candidates will check every box as listed, and the best people we've hired rarely did. If this work excites you and you think you could do it well, we'd rather hear from you than have you rule yourself out — so please submit an application.

This role is published by TubeScience-Labs on greenhouse. SwiftFit is not the employer and does not accept applications.