Extend

Business Analyst

• Build clean and efficient data models out of messy and unstructured data; create pipelines that support internal and external reporting
• Develop and own merchant-facing reporting models and data visualizations that communicate performance clearly and compellingly
• Work closely with data engineering and product teams to stay aligned on underlying data changes and surface opportunities for improvement
• Partner cross-functionally with the Risk and Data (RAD) team to help build new fraud analysis and translate that analysis into easy-to-understand reporting; stay current on model and product changes, and translate those changes into merchant-facing insights
• Contribute to building a more scalable, sophisticated reporting pipeline over time

Client Insights Analyst

Solutions Engineer

• Lead post-sales technical implementation conversations with merchants, conducting deep technical discovery to understand their systems, integration architecture, and constraints — and translating findings into a clear path forward.
• Own the technical onboarding experience, serving as the primary technical point of contact from kickoff to go-live, partnering with internal Engineering and Product teams to identify and address any product gaps and ensure integrations are set up for long-term success.
• Establish and maintain technical documentation for merchant onboardings — system architecture diagrams, API inventories, and integration specs — that cross-functional partners rely on throughout the merchant lifecycle.
• Build and maintain a library of reusable integration assets — templates, configuration guides, and onboarding playbooks — that improve consistency and reduce time-to-live across the merchant portfolio on the Solutions team.
• Lead investigation and resolution of complex post-onboarding technical issues, collaborating with Engineering and Support to drive root cause analysis and communicate findings clearly to internal and external stakeholders.
• Own pre-launch QA — including sandbox testing and end-to-end validation of integration flows — ensuring integrations meet a high technical bar before go-live.
• Identify and champion AI and automation opportunities that improve operational efficiency, partnering with internal teams to move initiatives from idea to execution.

Solutions Architect, Delivery

Full-stack Engineer

• Tackle ambiguous, cross-system problems spanning all aspects of fulfillment and servicing
• Own large features end to end, from design through deployment, release, and monitoring
• Deliver scalable, event-driven, AI-native applications that elevate the customer experience
• Collaborate with platform teams to enhance overall system architecture
• Own the design, implementation, quality and safety of AI/agentic features in production systems
• Mentor other engineers across levels through code review, pairing, design collaboration and coaching
• Drive adoption of tooling and practices, including AI developer tooling, and codify the habits that make them effective
• Advocate for the proactive investments — refactors, observability, upgrades, technology adoption - that enable continuous improvement
• Communicate fluently across product, design, solutions, and ops to align outcomes with business goals

Extend

Client Insights Analyst

Solutions Architect, Delivery

Senior Software Engineer

Senior Software Engineer