Jobs at 365Scores

Manage and optimize paid user acquisition, re-engagement, and retention campaigns across Meta, Google, Apple Search Ads, DSPs and ad networks. Run experiments and A/B tests, analyze attribution and cohort data, scale growth initiatives, collaborate with product/creative/data teams, and report performance to improve installs, retention, engagement, and revenue.

Manage end-to-end production of performance marketing creative assets, coordinating cross-functional teams to meet deadlines, budgets, and brand/regulatory standards. Oversee asset quality, campaign planning, creative testing, and delivery across channels while prioritizing tasks and aligning work with performance goals.

Build and ship AI-driven growth features: automate UA creatives and audience signals, develop content AI agents and predictive insights, integrate LLM-based match analysis, and create internal AI tools. Bridge product strategy and hands-on AI development to rapidly prototype and deploy MVPs.

Build and deploy production ML systems and end-to-end pipelines, translate business problems into mathematical frameworks, conduct experimentation (A/B, causal inference, uplift), maintain real-time models, and mentor junior team members.

Manage and optimize global PPC campaigns, handling over $100K/month. Build campaigns, monitor ads/keywords/SQR/QS/bids, expand activity against revenue goals, and deliver weekly, monthly, and quarterly reporting.

Design and iterate user-centered product experiences for native apps and web, leading end-to-end workflows (research, wireframes, visual design). Collaborate with PMs and engineers, contribute to the design system, advocate for usability, and deliver high-quality solutions on schedule.

Lead backend architecture and development for a high-scale product: design APIs and services, optimize performance and security, manage data pipelines and real-time processing, ensure test coverage and production releases, perform code reviews, unblock teams, and help hire and onboard developers.

Serve as the Monetization data authority: analyze large-scale datasets, define and monitor KPIs/OKRs, build dashboards, perform statistical and behavioral analyses, support AI-driven BI architecture, and provide actionable product and monetization recommendations.

Lead end-to-end product lifecycle for mobile and web sports products, collaborating with design, development, BI, and content teams. Define and track data-driven KPIs, write clear specs and wireframes, conduct market research, and use generative AI tools to accelerate product definition and delivery. Drive execution, post-launch optimization, and rapid iteration in a fast-paced environment.