• 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

• Own Platform Development & Roadmap • Drive the technical roadmap for Assemble, balancing new capabilities with platform stability • Lead development of core platform components including data pipelines, knowledge management, agent orchestration, and enterprise integrations • Make architecture decisions with input from data scientists, machine learning experts, and other subject matter experts, balancing immediate delivery needs with long-term scalability • Ensure platform reliability, security, and performance at enterprise scale • Lead the Engineering Team • Manage a team of engineers and data scientists building Assemble • Conduct 1:1s, performance reviews, and career development conversations • Make hiring decisions and participate in technical interviews • Build a high-trust, high-performance engineering culture • Mentor and grow team members technically and professionally • Drive Engineering Excellence • Establish and enforce engineering standards, development practices, and code quality • Lead technical design reviews and architecture discussions • Build and maintain CI/CD pipelines, testing frameworks, and developer tooling • Coordinate Cross-Functionally • Partner with Product to prioritize platform capabilities based on client and business needs • Collaborate with AI Architects on system design and technical direction • Work with delivery teams to understand their platform requirements and pain points • Coordinate with Security/Infrastructure on enterprise deployment requirements • Communicate platform status, roadmap, and tradeoffs to leadership

• Own the roadmap and delivery for Assemble's core platform capabilities • Build scalable infrastructure including data pipelines, knowledge management, agent orchestration, and enterprise integrations • Drive architecture decisions that balance immediate delivery needs with long-term platform scalability • Ensure platform reliability, security, and performance at enterprise scale • Establish and enforce engineering standards, development practices, and code quality across the organization • Lead technical design reviews and architecture discussions • Build an AI-native team—incorporate AI into engineering workflows and practices • Reduce technical debt while maintaining delivery velocity • Create documentation and knowledge sharing practices • Build CI/CD pipelines, testing frameworks, and developer tooling • Lead, mentor, and grow a team of platform engineers • Conduct 1:1s, performance reviews, and career development conversations • Make hiring decisions and participate in technical interviews • Build a high-trust, high-performance engineering culture