Technical Product Lead (f/m/d)

Job description

adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade , we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Running the Engine Behind 200M+ Daily Ad Decisions Behind every ad decision at adjoe is a system designed to operate at massive scale, serving more than 770 million mobile users every year. The Demand API Integrations team owns the systems that connect our platform to the global adtech ecosystem, handling over 5.5 billion API requests daily across installs, events, views, clicks, and postbacks from Mobile Measurement Partners. We operate a dedicated A/B testing environment against live traffic to validate system behavior under real-world conditions, allowing us to evaluate advertiser integrations, benchmark partner performance, and verify attribution accuracy end-to-end before deploying globally. We integrate TensorFlow-based ML models to predict user engagement and purchase likelihood, directly influencing real-time ad distribution. To meet our strict 100ms latency constraint, we prioritize efficient model serving, low-latency data access, and deliberate system design. Your Mission & Who We Are Looking For High-Scale Backend Product Leadership: You will own the roadmap and backlog for the campaign distribution engine that serves over 200 million daily mobile users, balancing rapid business feature requests with long-term platform integrity. We are looking for someone with 5+ years of experience as a Product Lead (preferably in B2B SaaS) managing backend-heavy, high-load systems who can navigate ambiguity and drive product delivery end-to-end. Technical & Data Fluency: You will partner daily with software engineers, BI analysts, and data scientists to translate business objectives into functional requirements, assess feasibility, and leverage ML models for campaign optimization. You understand APIs and database architectures (like Druid) well enough to evaluate technical trade-offs, debate implementation details directly with engineers, and translate complex mechanics for commercial stakeholders. Hypothesis-Driven Experimentation: You will maximize publis…