Senior Product Manager - Fraud

 

About us

At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.

The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

Our values

Win as One. Delight Customers. Deliver Great Outcomes. 

About the role

The Senior Product Manager - Fraud will own the strategy, development, and optimization of fraud prevention solutions for Auctane’s platform. This role involves designing and implementing tools and processes to detect, prevent, and respond to fraudulent activities while ensuring a seamless experience for legitimate users. Reporting to the Senior Director of Identity and Fraud Prevention, the Product Manager will collaborate closely with engineering, data science, customer success, and compliance teams to build scalable, secure, and innovative fraud prevention systems.

This position is hybrid (3 days per week in office) and is located in Austin, Texas. 

About the team

Auctane is the leading provider of software and APIs that empower small product-based businesses to automate their post-sale processes. From shipping to billing and payments, Auctane delivers innovative solutions that enable businesses to thrive while mitigating risks. With a strong presence in the US and Europe, and plans for global expansion, Auctane is committed to providing secure and efficient solutions that safeguard its customers and their operations.

What will you be doing?

1. Fraud Prevention Strategy:
• Develop and execute a comprehensive strategy for fraud prevention that aligns with Auctane’s mission to support small businesses.
• Identify and prioritize opportunities to enhance fraud detection and mitigation capabilities.
• Stay informed on emerging fraud trends and technologies to continuously refine the strategy.
2. Fraud Detection Tools and Processes:
• Design and implement tools to detect fraudulent activities, leveraging machine learning models, propensity scoring, and rule-based systems.
• Collaborate with data science and engineering teams to develop predictive models that identify potential fraud risks.
• Partner with customer success and operations teams to create workflows for fraud response and resolution.
3. User Experience:
• Ensure fraud prevention measures are balanced with maintaining a seamless and secure experience for legitimate users.
• Gather customer feedback to identify pain points and refine fraud prevention tools accordingly.
4. Compliance and Risk Mitigation:
• Work closely with legal and compliance teams to ensure fraud prevention solutions adhere to relevant regulations and standards.
• Develop frameworks for risk assessment and mitigation to protect customer data and financial transactions.
5. Cross-Functional Collaboration:
• Partner with product, engineering, and data science teams to integrate fraud prevention solutions into Auctane’s platform.
• Collaborate with marketing to communicate the value of fraud prevention features to customers.
• Work with customer support teams to provide training and resources for managing fraud-related issues.
6. Goals and Metrics:
• Define success metrics for fraud prevention, such as fraud detection rates, false positive rates, and customer satisfaction.
• Monitor and analyze performance data to identify areas for improvement and optimization.
• Report on progress and align initiatives with broader company objectives.

What are we looking for?

• 5+ years of industry experience in product management and/or engineering, with a strong foundation in fraud methodology and best practices
• Strong understanding of fraud prevention technologies, including machine learning models, rules engines, and propensity scoring.
• Proven ability to design customer-centric solutions that balance security with user experience.
• Exceptional analytical skills with a data-driven approach to decision-making.
• Excellent communication and collaboration skills, with experience