• Architect and build systems that power Pura's end-to-end supply chain operations—from order management and inventory allocation to warehouse integration and shipment tracking • Drive technical excellence • Mentor other engineers • Collaborate with stakeholders across the organization to deliver reliable services used by millions of customers • Make a significant impact on the growing business

• Lead architectural design for new features, services, and system components. • Evaluate modern AI/ML technologies and determine appropriate use cases. • Make key technical decisions that balance performance, scalability, and maintainability. • Review designs, PRs, and technical documentation to ensure engineering excellence. • Evaluate and introduce new tools and technologies to improve software development productivity. • Perform full-stack development regularly across both frontend and backend systems, taking ownership of end-to-end feature implementation. • Develop and deliver core components of application, AI-powered features, and architectural components. • Diagnose and resolve complex technical issues across the full stack and drive sustainable solutions. • Ensure code quality, test coverage, reliability, and adherence to engineering standards. • Mentor, guide and manage engineers, and contribute to raising the technical bar across the organization. • Lead discussions on AI best practices, emerging trends, model evaluation techniques, and responsible AI usage. • Facilitate knowledge sharing, pair programming, and engineering best practices. • Collaborate with Product Management to translate product requirements into clear technical plans, architecture and milestones. • Partner with Engineering Managers to balance priorities, manage sprint commitments, and guide execution. • Streamline and optimize the CI/CD pipeline to improve deployment reliability, speed, and developer productivity. • Guide teams through incident response, root-cause analysis, and preventive improvements. • Work closely with Product, Design, Data/SME, QA, and DevOps to ensure alignment on goals and technical feasibility. • Communicate architectural decisions, tradeoffs, and implementation plans clearly to both technical and non-technical stakeholders. • Support go-to-market teams with technical insights for feature capabilities.

• Build autonomous AI SDRs that research prospects, craft personalized messages, and manage follow-up sequences at scale • Develop sophisticated lead scoring and enrichment pipelines using Clay data providers and waterfall enrichment methodology • Create AI-powered personalization engines using LLMs for dynamic content generation across all touchpoints • Design intent-based trigger systems that identify and act on buying signals automatically • Implement in-app and chat automations that guide users through their journey and capture expansion opportunities • Develop RAG applications and vector databases (using Supabase) for intelligent content retrieval and account intelligence • Create real-time dashboards tracking pipeline velocity, conversion rates, and revenue efficiency metrics • Implement predictive models for churn prevention and expansion opportunity identification • Design automated lead routing logic that considers rep expertise, capacity, and historical performance • Create customer lifecycle triggers that identify upsell opportunities and prevent churn • Design and implement a composable GTM architecture using n8n as the central orchestration platform, connecting tools in our revenue stack • Build event-driven workflows that respond to buyer signals in real-time (e.g., pricing page visits trigger instant enrichment and personalized outreach) • Create reusable automation patterns and maintain APIs

• Lead initiatives by using wide-ranging experience to make decisions on methods and approaches • Collaborate with Product Managers and Senior Engineering Managers to advise on and guide the design and iterative delivery of complex solutions • Actively stay current with WEX technology options and industry trends • Work closely with the Team Manager to identify skill gaps and ensure the team is upskilling to adopt new technologies effectively • Proactively identify and fill technical gaps in design and implementation • Design, test, code, and instrument solutions without guidance • Mentor the entire engineering team • Lead the team in defining API specifications, database schemas (advanced indexing/optimization), and system architecture • Hold your team accountable for delivering quality results using defined goals • Support production applications with advanced observability • Analyze systems to identify bottlenecks and drive decisions using data • Strengthen and drive the engineering process using Test Driven Development (TDD), Behavior Driven Development (BDD), and Microservice/Vertical Slice Architectures • Leverage AI-powered development tools to act as a force multiplier for the team