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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.

Lead the Subscriptions engineering team to design, deliver, and scale recurring-billing products. Coach and manage engineers, partner with Product to set roadmaps, oversee technical strategy, improve reliability and scalability of high-traffic event-driven systems, and collaborate with cross-functional stakeholders including Design, Data, InfoSec, Platform, Finance, Risk, and Legal.

Lead customer storytelling, advocacy, and community programs for PLG and sales-led motions. Produce case studies, references, and AI-enabled content at scale; run advocacy and reference systems; surface customer insights to influence GTM, product, and revenue; recruit customers for events and campaigns; collaborate with Product, Revenue, Growth, CS, and Sales to drive adoption, retention, expansion, and conversion.

Design and maintain marketing-focused data infrastructure and models in Snowflake and dbt. Build self-serve datasets in Omni, ensure data quality and metadata, enable activation into operational tools, support campaign attribution and funnel reporting, and train stakeholders.

Lead Paddle's Revenue Operations to scale GTM execution: design operating model, manage GTM tech and data architecture, run Deal Desk, improve forecasting and pipeline disciplines, enable field teams, and deliver cross-functional GTM initiatives that drive revenue growth and operational efficiency.

The role involves contributing Go code, collaborating with teams, building features, improving system performance, and maintaining AWS infrastructure.

As a Manager of Solutions Engineering at Paddle, you will lead a team of Solutions Engineers, fostering collaboration and driving revenue while ensuring high-quality implementations and a positive team culture.

Lead end-to-end insights projects that turn cross-functional data into commercial recommendations. Use SQL and Snowflake to extract data, apply statistical methods and LLMs to analyze structured and unstructured data, model financial impacts with Finance, and present clear, actionable findings to senior leadership and the exec team.

Drive platform reliability and developer efficiency by automating deployments, disaster recovery, monitoring/SLOs, incident response and runbooks. Collaborate with product engineers, perform capacity/performance/cost engineering, and promote GitOps and observability practices.

The Senior Product Manager will lead the strategy and development of churn prevention and retention in Paddle's payment platform, focusing on enhancing customer experience, managing stakeholder expectations, and driving measurable business impact.