• 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

• Lead, mentor, and grow a team of reporting and analytics engineers in a hands-on player/coach capacity. • Drive engineering excellence, technical strategy, and architectural decisions for the reporting platform. • Reinforce a culture of ownership, transparency, innovation, and continuous improvement. • Oversee hiring, performance management, and career development for the team. • Architect and deliver scalable reporting and analytics solutions using: Azure Data Explorer (ADX) and KQL, SQL Server / T-SQL, Azure infrastructure, C# for backend services and integration components, VueJS for reporting and analytics UI experiences. • Build and maintain high-performance data ingestion, transformation, and query pipelines for real-time and near-real-time reporting. • Develop meaningful and intuitive reporting features that leverage strong data modeling fundamentals. • Collaborate with Product, Data Engineering, and Platform Engineering to define the roadmap and deliver high-impact features.

• Lead and grow multiple teams across SRE, Cloud Infrastructure, and MLOps • Own the operational health of production systems including availability and latency • Define and evolve SLIs, SLOs, and error budgets • Evolve Loopio’s cloud architecture and drive the MLOps roadmap • Establish standards for infrastructure automation and configuration management • Collaborate with Security to ensure secure infrastructure