• Manage the daily activities of Engineers who are delivering new features and enhancements critical to Toast's business growth • Oversee technical delivery operations for all Supply Chain systems • Provide leadership, activity planning, and direction to complete team tasks • Mentor team members by identifying/developing opportunities for individual growth • Review deliverables for the team and contribute hands-on to complex delivery efforts • Facilitate release planning and capacity planning for the team’s initiatives • Lead collaborative discovery and execution ceremonies for engineering, research, design, and quality assurance peers • Define a well-articulated vision for the short- and long-term technical roadmap of the domain • Communicate clearly with cross-functional stakeholders to build trusted relationships

• Lead an engineering team building client-facing enterprise security features for Kraken’s largest clients and Payward portfolio • Design and implement libraries and microservices in Rust • Deliver bring-your-own IdP integrations and modern enterprise authentication flows • Build provisioning and access automation capabilities (e.g., SCIM) integrated with the organizations and permissioning stack • Establish high-quality engineering standards and lead complex systems development, using powerful AI tools to your advantage. • Partner cross-functionally to deliver enterprise-grade security features that meet customer and regulatory expectations

• Lead, mentor, and grow a team of engineers building Caseware’s agentic AI platform, fostering a culture of ownership, learning, and high technical standards • Own delivery, execution, and prioritization for the AI Platform team, balancing short-term product needs with long-term platform health and scalability • Partner with Staff Engineers and senior ICs to set technical direction, review architecture, and ensure consistent application of platform standards and best practices • Collaborate with Product Management to shape roadmaps and milestones, translating strategic objectives into executable plans • Ensure the platform enables safe, reliable, and scalable AI capabilities, including agent execution patterns, RAG pipelines, grounding connectors, and reusable platform primitives • Work closely with QA, Security, and domain experts to ensure quality, reliability, and compliance are embedded into AI systems from design through production • Drive operational excellence, including incident management, post-mortems, and continuous improvement of reliability, performance, and cost efficiency • Support and reinforce AI-assisted development practices by enabling adoption of tools such as GitHub Copilot and AWS Kiro through team standards, training, and guardrails • Build strong cross-functional partnerships with DevOps, DevSuccess, Data, and Infrastructure teams to improve CI/CD pipelines, deployment practices, and production safeguards • Manage staffing, hiring, onboarding, performance management, and career development for engineers on the team • Act as an escalation point for complex technical or delivery challenges, helping the team navigate ambiguity and make sound trade-offs

• manage a growing team of seven engineers distributed across North America • hire and mentor a team of top-tier engineers • work directly with multiple stakeholders to build solutions • guide the build of robust and effective software • contribute to the definition and adoption of software engineering practices