• Owning and leading a high-performing engineering team, with a strong focus on career development, wellbeing, and impact • Partnering with Engineering Managers and Staff Engineers to define and execute Canva’s longer-term observability strategy • Translating high-level goals into clear roadmaps, priorities, and delivery plans • Owning the reliability, availability, and performance of Canva’s critical observability platforms, including tracing and exception systems • Driving modernisation of the observability stack, including deeper OpenTelemetry adoption and platform improvements • Ensuring observability capabilities translate into intuitive, effective developer experiences across workflows, visualisations, and tooling

• Owning and leading a high-performing engineering team, with a strong focus on career development, wellbeing, and impact • Partnering with Engineering Managers and Staff Engineers to define and execute Canva’s longer-term observability strategy • Translating high-level goals into clear roadmaps, priorities, and delivery plans • Owning the reliability, availability, and performance of Canva’s critical observability platforms, including tracing and exception systems • Driving modernisation of the observability stack, including deeper OpenTelemetry adoption and platform improvements • Ensuring observability capabilities translate into intuitive, effective developer experiences across workflows, visualisations, and tooling

• Lead, mentor, and develop a team of machine learning and software engineers focused on building the intelligent backbone of the Workiva AI platform. • Provide hands-on coaching, performance feedback, and growth opportunities for engineers at varying experience levels. • Foster a collaborative, inclusive, and high-ownership team culture grounded in trust, accountability, and continuous improvement. • Collaborate closely with Product, Program Management, UX and UXR to lead and develop engineers in owning development, maintaining AI & ML infrastructure, and seamlessly integrating Generative AI and Machine Learning features into products. • Work with internal engineering teams and developers to understand integration needs and remove friction. • Communicate complex technical issues to both technical and non-technical audiences effectively. • Oversee the design, implementation, and maintenance of foundational AI/ML services. • Guide architectural decisions to ensure platform scalability, reliability, and alignment with Workiva’s long-term technical vision. • Ensure engineering best practices around security, testing, operational excellence, and documentation. • Drive improvements in latency, service availability, developer experience, and integration usability across internal and external interfaces. • Maintain high service availability and performance across various ML services. • Champion observability, incident response readiness, operational improvements and managing team’s support rotations. • Reduce complexity through simplification, automation, and thoughtful system design.

• Leading our full engineering organization made up of three subteams: app developers, R developers, and infrastructure / platform engineers. • Shipping features often requires fairly intense inter-team collaboration to provision compute, develop algorithms, and then present something human-usable to our end customers.