Jobs 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.

Lead systems engineering initiatives across InfoSec and IT, focusing on automation, systems integration, Infrastructure-as-Code, cloud security, compliance controls, and secure AWS infrastructure. Build CI/CD pipelines, manage identity and security tooling, support GRC and audit activities, document operational processes, and mentor engineers. Partner with technical and business stakeholders to deliver scalable, secure improvements across enterprise and product environments.

Software Engineer role at Paddle, a global Merchant of Record and payments infrastructure company. The posting provides limited role-specific responsibilities or qualifications, but the position focuses on software engineering using Go. Paddle offers remote or hub-based work, professional development support, unlimited holidays, and inclusive workplace benefits.

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.

The Senior FP&A Analyst partners with business and finance leaders to guide resource allocation, commercial strategy, forecasting, investment optimization, and strategic planning. Responsibilities include analyzing transaction-based metrics, building financial models and dashboards, developing business cases, supporting board reporting, improving unit economics, and translating complex financial insights into clear recommendations. The role also contributes to KPI development, cross-functional initiatives, and team capability building.

Own product marketing for Paddle’s Billing product group, including customer and market research, positioning, messaging, segmentation, launches, go-to-market planning, enablement, competitive intelligence, adoption measurement, and commercial initiatives. Partner cross-functionally with Product, Engineering, Finance, Sales, Customer Success, Support, and Marketing to improve customer outcomes, retention, and business impact. Use AI and automation to enhance research, analysis, and workflow efficiency.

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 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.

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.

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.

The role involves designing, developing, and maintaining high-throughput systems for the billing platform, collaborating with teams, leading technical discussions, and mentoring other engineers.

Lead the Application Excellence team to improve internal developer experience, build self-serve tooling and golden paths, drive platform reliability and productivity, coordinate cross-functional stakeholders, manage and coach engineers, and remain technically credible while owning roadmap and delivery.