Jobs at Paddle

Build and improve seller-risk and fraud systems through hands-on data analysis, decisioning, controls, experiments, and workflows. The role uses SQL, Python, statistics, and AI-assisted tools to identify fraud losses, develop risk tiers, backtest rules, monitor live controls, and translate findings into product and engineering work. It partners with investigators, operations, product, engineering, data science, finance, and executives to deliver measurable reductions in fraud, customer friction, and manual effort.

Lead Paddle’s global compliance and risk function, managing the compliance team and developing scalable monitoring, reporting, and enterprise risk frameworks. Ensure adherence to payments regulations, card scheme rules, consumer protection laws, data protection requirements, PSD2, and AML/KYC obligations. Oversee regulatory research, compliance reporting, incident investigations, and breach response while partnering with legal, product, operational, leadership, and regulatory stakeholders.

Senior Legal Counsel will advise Paddle’s global digital payments business across corporate governance, commercial contracts, financing agreements, regulatory matters, consumer regulations, data protection, privacy, and compliance policies. The role partners with teams across the company, supports the Director of Legal, supervises junior lawyers, and provides practical, commercially focused advice in a fast-growing, regulated technology environment.

Own and scale Paddle’s global B2B demand generation engine across product-led and sales-led motions. Lead paid media, SEO, ABM, lifecycle, web, funnel conversion, attribution, experimentation, and marketing infrastructure programs to drive signups, PQLs, SQLs, and revenue. Partner with Sales, Growth, Product Marketing, Brand, Web, and RevOps while building and coaching a high-performing team of channel owners and operations leaders.

Lead Paddle’s IT team and strategy while managing identity and access, Apple device administration, service delivery, automation, security practices, budgets, vendors, and IT projects. The role combines people leadership and stakeholder management with hands-on escalation support. It will improve IT operations through data, automation, and AI while maintaining reliable, secure systems and effective support metrics.

Own Paddle’s organic search and AI discoverability strategy across traditional search, AI-generated answers, and LLM citations. Audit visibility, identify opportunities, prioritize content roadmaps, and translate performance data into recommendations for Brand, Product Marketing, and Growth. Steer content updates, contribute drafts using AI, define discoverability metrics, and connect organic visibility to commercial outcomes such as pipeline.

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.

Own the full sales cycle from prospecting and qualification through product demos and closing for SaaS, AI, and app companies. Build self-sourced and BDR-generated pipeline, manage complex enterprise deals, exceed revenue quotas, sell technical payment solutions to executive stakeholders, collaborate cross-functionally, provide product feedback, and mentor new Account Executives.

Own Paddle’s self-serve business line and commercial performance from acquisition through retention. Set strategy, optimize activation and time-to-value, define pricing and packaging, manage unit economics, shape demand, deepen partner channels, and lead cross-functional execution across Product, Engineering, Finance, Risk, Partnerships, and RevOps. Build experimentation, tooling, and tracking while using data and AI to improve conversion and profitable growth.

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.

Design and maintain scalable data models in Snowflake using dbt, expose datasets via BI tools, manage ingestion and data activation, enforce data quality and metadata, mentor junior engineers, and lead training to enable self-service analytics.