
201 - 500 employees
☁️ SaaS
💳 Fintech
🤝 B2B
💰 Debt Financing on 2022-05
SaaS • Fintech • B2B
Paddle is a comprehensive merchant of record and payment solution specifically designed for SaaS businesses. It provides a complete suite of products and services including billing, subscription management, pricing strategies, tax compliance, fraud protection, and more. Paddle helps software companies manage payments, streamline billing, and enhance customer retention with tools like ProfitWell Metrics and Price Intelligently. By handling sales taxes, fraud liability, and all aspects of the billing process, Paddle enables SaaS businesses to focus on growth without worrying about the complexities of global compliance.
🔥 5 minutes ago
Where this job comes from
Posted on Paddle's careers page, not through a job board
First seen by Remote Rocketship 5 minutes ago

201 - 500 employees
☁️ SaaS
💳 Fintech
🤝 B2B
💰 Debt Financing on 2022-05
SaaS • Fintech • B2B
Paddle is a comprehensive merchant of record and payment solution specifically designed for SaaS businesses. It provides a complete suite of products and services including billing, subscription management, pricing strategies, tax compliance, fraud protection, and more. Paddle helps software companies manage payments, streamline billing, and enhance customer retention with tools like ProfitWell Metrics and Price Intelligently. By handling sales taxes, fraud liability, and all aspects of the billing process, Paddle enables SaaS businesses to focus on growth without worrying about the complexities of global compliance.
• Build data, decisioning and automated systems that enable Paddle to take more good risk while reducing fraud losses, customer friction and manual work • Map the end-to-end seller risk system, including data, decisions, controls, owners and failure points • Establish baselines for fraud losses, alert yield, time-to-detect, exposure at detection and analyst effort, reconciled with Finance • Own the health of live controls, including ownership, expected volume, measured yield, alerting, testing and impact assessment • Build and maintain a labelled library of confirmed fraud cases and a shared fraud typology • Build a value-ranked portfolio of risk opportunities • Translate risk problems into product, data and engineering work with measurable acceptance criteria • Design seller risk tiers governing payout timing, reserves and limits • Backtest rules and risk scores using point-in-time data • Design control experiments, shadow tests and phased roll-outs measuring loss reduction and legitimate-customer impact • Produce decision artefacts for senior-leader trade-offs involving risk appetite, engineering investment, customer experience and commercial growth • Take major capabilities through production, establish long-term ownership and progress to the next high-value problem • Achieve six-month outcomes including materially improving a seller-risk journey, reducing repetitive screening for Fraud/Risk Operations and handing stable capabilities to durable owners
• Significant experience building or improving merchant- or seller-side fraud detection at a PSP, acquirer, payfac, marketplace or Merchant of Record • Working knowledge of bust-out, transaction laundering and self-dealing in data • Fluency in SQL, including Snowflake, dbt or similar • Proficiency in Python and statistics • Experience using LLMs on unstructured data such as website content or support tickets, with measured accuracy • Experience with decision flow systems such as Tactile • Experience turning ambiguous cross-functional problems into adopted systems with measurable results • Experience designing, backtesting and tuning rules and risk scores on point-in-time data • Experience evaluating rules and risk scores with delayed, partial and adversarial labels • Experience with version control, testing, impact analysis, monitoring, drift detection and audit trails for production controls • Ability to quantify risk trade-offs in fraud losses, approval rates, customer friction, operating cost and revenue using a Finance-approved method • Judgment to select appropriate rules, workflows, experiments, vendors, models or agents • Ability to work with investigators, operators, product managers, engineers, data scientists and executives • Experience in a Merchant of Record, payments, marketplace, subscription or other adversarial transactional environment is useful but not mandatory • No specific educational credential required; Paddle states it does not care where candidates studied
• Stock options • Unlimited holidays • Enhanced parental leave • Retirement plans • Private healthcare • Well-being initiatives • Annual learning fund • Regular internal and external training • Flexible choice of where, when and how to work within hub locations • Trust and autonomy in working arrangements • Global hubs for focused collaboration
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