Extend

You'll own the **analytics data architecture** at Extend, powering **financial reporting and business decisions** across the company. Partner with product engineering and stakeholders to build **scalable, reliable data systems** on Snowflake and AWS.

You'll lead **revenue optimization initiatives** using **quantitative analysis** and **cross-functional collaboration** to drive company growth. You'll own data pipelines and present insights to leadership, shaping strategic decisions that directly impact the bottom line.

You'll own **machine learning model development** for **fraud detection** at a post-purchase protection platform. Your work will directly impact **blocking bad actors** and unlocking business value from millions of transactions.

You'll build **secure MCP connectors** and a **shared library of agent skills** at Extend, enabling non-engineers to create reliable AI tooling. Your work on the **agent infrastructure and security model** will make AI accessible across the whole company.

You'll lead **post-sales technical implementations** for **mid-market and enterprise merchants**, owning the onboarding experience from kickoff to go-live. Your core impact is translating complex system architectures into seamless integrations that drive long-term merchant success.

You'll serve as an escalation point for complex claims within Extend's Operations Department, resolving issues related to Product and Shipping Protection plans. Your core impact involves investigating claims, managing fraud detection, and collaborating across teams to ensure **accurate claim decisions** while maintaining **high customer satisfaction**. This role offers the chance to work in a **fast-paced startup environment** with cutting-edge AI-driven solutions.

You'll join a growing Fraud Ops team and perform **fraud investigations** to detect bad actors while improving the experience for legitimate customers. Your work will directly impact **Extend's risk models** and internal processes. You'll collaborate cross-functionally with Claims, Product, and Engineering.

You'll join the Risk Analytics Data Science team at Extend, a post-purchase experience platform. You'll design premium structures for new merchant categories and build the data foundation for Risk Analytics using **dbt** and **Snowflake**. This role offers autonomy to shape the risk function and use **AI tooling** like Claude to automate workflows.

You'll lead a team of ML data scientists owning the development and quality of **fraud detection models** across the full data science lifecycle. You'll partner with Product and Engineering to integrate **ML models into production** and drive cross-functional impact. This role offers the chance to shape **cutting-edge AI solutions** for a fast-growing startup.

You'll serve as a core member of Security Operations, monitoring and triaging alerts from platforms like **SentinelOne** and **Wiz**. You'll perform end-to-end investigations to identify, contain, and remediate threats, driving timely response. You'll also contribute to the **detection lifecycle** by modeling attacker behaviors and writing detections as code.

You'll join the **Fulfillments team** to build scalable, event-driven applications for **top eCommerce and brick-and-mortar merchants**. Your work will directly influence how merchants make customers whole through automated fulfillment and AI-powered features. You'll own large features end-to-end and mentor engineers across the organization.