Teams at Paddle

Lead the Checkout product strategy and roadmap at Paddle, managing its performance and commercial outcomes while collaborating across teams and using data to drive decisions.

Build and operate production AI systems for go-to-market teams, including account segmentation, scoring, enrichment, buying-signal detection, agentic workflows, prospect research, outbound personalization, call summarization, and CRM hygiene. Own solutions end to end from design through deployment, while optimizing quality, latency, cost, reliability, evaluation, monitoring, and guardrails. Collaborate closely with Marketing, Sales, RevOps, and system users to deliver measurable commercial impact.

Build Paddle’s data science function and production decisioning systems from the ground up. Prioritize high-value use cases, personally deliver the first ML or agentic system, and own deployment, monitoring, experimentation, reliability, governance, and financial impact. The role will establish the production ML stack, collaborate across Product, Engineering, Risk, Finance, and Compliance, then hire and lead data scientists and ML engineers. Experience with regulated transactional domains, production ML operations, experimentation, and executive stakeholder management is required.