• Oversee all engineering delivery lines and development teams (15+ engineers) • Build and mentor a strong leadership team (Development Leads, Engineering Managers) • Create a culture of ownership, accountability, and continuous improvement • Develop career paths and growth opportunities for engineers at all levels • Recruit, hire, and retain top engineering talent • Drive a rigorous practice of thorough documentation and knowledge sharing and code reviews. • Act as an ‘internal ambassador’ for the engineering team to other groups, communicating the opportunities and constraints technology offers to the development of our internal projects. • Resolve escalations arising from internal teams and manage client expectations alongside various teams to minimize production incidents and operations • Manage technical debt to ensure our development velocity stays responsive and predictable • Align teams to broader company objectives and client expectations improvements on efficiency

• Build, mentor, and lead a high-performing team of Quality Engineers and Test Engineers. Provide technical guidance, set performance goals, and foster a culture of accountability and precision. Allocate resources effectively to support multiple concurrent product programs. • Lead the end-to-end hardware testing strategy to ensure all products meet functional, performance, environmental, safety, and regulatory compliance standards. Oversee the design and build-out of internal testing capabilities, including automated test rigs and validation processes, to ensure rigorous coverage prior to mass production. • Manage the hardware testing facilities and vehicle fleet to ensure the team is fully equipped to execute their work. This includes overseeing the procurement and maintenance of bench equipment (e.g., thermal chambers, oscilloscopes, data acquisition), triaging workbenches, and test vehicles. You will manage the asset utilization to ensure the wider Canopy team has the necessary tools to identify failure modes and validate fixes without bottlenecks. • Champion the "Design for Quality" methodology within the engineering organization. Lead key quality processes including DFMEA (Design Failure Mode and Effect Analysis) and PFMEA (Process Failure Mode and Effect Analysis). Facilitate 8D problem-solving workshops and ensure a closed-loop "lessons learned" approach is applied to every design iteration. • Drive manufacturing quality standards with our Contract Manufacturers (CMs) and key suppliers. Define technical quality requirements for mass production, conduct supplier audits, and oversee the implementation of control plans to ensure consistent product quality. • Lead the Advanced Product Quality Planning (APQP) framework with suppliers and manage the Production Part Approval Process (PPAP) to ensure components and assemblies meet stringent automotive standards before mass production. • Own the warranty return and RMA process. Lead the triage of field failures to identify root causes (RCA) and drive corrective actions for current and future products. Maintain and update core engineering documentation to prevent the recurrence of known failure modes, directly influencing the product roadmap based on field data. • Establish and maintain the Hardware Quality Management System, ensuring alignment with relevant automotive standards (e.g., IATF 16949, ISO 9001). Manage external relationships with certification bodies and test labs to ensure timely product certifications (FCC, CE, PTCRB, etc.).

• Own the design, reliability, scalability, and security of the platform infrastructure supporting production Agentic AI systems. • Bring an informed perspective and implement best practices around identity and access controls • Establish clear patterns for service design, deployment, and inter-service communication. • Own system observability (logging, metrics, tracing) and operational readiness. • Set technical direction for infrastructure components written in Rust, ensuring performance, safety, and maintainability. • Collaborate with go-to-market teams to align roadmap with business goals. • Recruit, mentor, and retain high-performing engineers, fostering a culture of innovation and collaboration. • Leverage passion for agentic AI and enterprise nuances to deliver solutions that enhance user experience.

• Lead multiple engineering teams, owning delivery, technical direction, effectiveness, and overall performance. • Be accountable for performance management outcomes across teams, ensuring consistent feedback, clear expectations, and strong manager and IC development. • Drive technical and operational strategy across squads, optimizing for system level outcomes rather than individual team success. • Partner with product, design, and other stakeholders to define cross team goals, roadmaps, sequencing, and measures of success. • Coach Engineering Managers and ICs, holding them accountable for results and people leadership. • Create clarity in ambiguous environments and stabilize or improve teams facing delivery, technical, or organizational challenges. • Lead complex, cross team initiatives with strong planning around capacity, sequencing, and tradeoffs. • Establish and track metrics to measure progress, using data to inform decisions and continuously improve team effectiveness. • Maintain high standards for technical quality and reliability, ensuring cohesion of technical direction across teams. • Engage in the end-to-end recruiting process, hiring, and on-boarding engineering talent to help grow the team and broader engineering organization.