xsolla - Product Manager, Xsolla Ads

• Own the look and feel of every ad unit in the offerwall: offer cards, detail pages, video, playables, interstitials, and the reward flow. • oRTB formats and rendering • Define how we support VAST, HTML and MRAID, and OpenRTB Native inside the offerwall, across Web, iOS, Android, and Unity. • Write the requirements for format support: which VAST events we track, which MRAID calls we allow, and how Native assets map into our own templates. • Work with Engineering on creative QA and rejection rules, so broken or non-compliant creatives get caught before a player sees them. • Design to engineering • Turn ideas into Figma designs and prototypes that engineers can build without guessing. • Write PRDs and acceptance criteria that cover states, edge cases, and device differences, not just the happy path. • Work with our designers on the offerwall's design system, and keep it consistent across publishers and platforms. • Experimentation and performance • Run A/B tests on layouts, creative treatments, and formats, and read the results yourself. • Track the metrics that show whether the ad experience works: CTR, video completion rate, offer start and completion rates, IPM, and eCPM. • Turn what you learn into a prioritized roadmap, and explain the tradeoffs to Engineering, Demand, and leadership. • AI in creative and workflow • Find where AI can improve ad units: generating creative variants, adapting assets to new formats, auto-cropping and localization, and checking creative quality. • Use AI tools in your own work: prototyping, writing specs, analyzing test results, and getting from idea to something testable faster. • Cross-functional work • Work with Engineering, Design, Demand, Publisher Success, and Data every week. • WHAT YOUR WEEK LOOKS LIKE • A demand partner starts sending VAST wrappers that time out on Android. You look at the VAST chain, work out where it's slow, and agree a timeout and fallback rule with Engineering. • Offer completion rates on one publisher are 30% below the network average. You compare their wall against others, find the reward value is hidden below the fold on smaller phones, and mock up a fix in Figma that afternoon. • You use an AI image model to generate 20 variants of an offer card's hero image, test four of them, and share the winner and the lift with the team. • Around 5 years of product management experience, with a significant part of it in AdTech. • Hands-on experience owning ad design or ad experience: ad units, creative formats, or how ads render in an app or game. • Working knowledge of oRTB ad formats. You know how VAST, HTML and MRAID, and OpenRTB Native creatives work, what breaks them, and what the specs allow. • Comfortable with data. You can design an A/B test, read the result, and write SQL or use a BI tool to answer your own questions. • You write clear specs. Engineers should be able to build from what you write without coming back to ask what you meant. • Good visual judgment. You can tell why one layout works and another doesn't, and explain it in terms of player behavior. • Clear communication with engineers, designers, and commercial teams. • Based in Los Angeles or elsewhere in the US, and able to work across US time zones. • Experience working with AI. This one matters a lot to us. Show us how you've used AI tools such as Claude, Midjourney, or Figma AI to make ads, prototype products, or get more done. Come ready to show a real example. • Experience with offerwalls, rewarded ads, or rewarded video. • Experience designing in Figma: building prototypes and engineering-ready designs yourself, not just reviewing someone else's. • Experience in mobile gaming or app monetization. • Familiarity with ad SDKs, mediation, and how they render third-party creatives. • HOW SUCCESS IS MEASURED • Offerwall engagement improves: higher CTR, offer start rate, and completion rate, backed by test results rather than claims. • The formats we support render correctly across platforms, and creative rejections and rendering bugs go down. • Engineering builds from your specs and designs without long back-and-forth. • AI is part of how the team makes and tests creative, not a side experiment.