• Own the technical vision and roadmap for the Clinical Data Platform. Drive architecture for multi-tenant, multi-cloud data platforms, ensuring strong isolation, scalability, and compliance • Make high-stakes architectural decisions across data processing, storage, serving, and interoperability layers • Ensure platform capabilities support analytics, product features, and AI/ML use cases • Establish durable patterns for data lifecycle management (ingestion, validation, transformation, enrichment, serving) • Lead execution of complex, cross-functional initiatives with clear prioritization and measurable outcomes • Translate business and product needs into well-defined engineering plans and deliverables • Drive ruthless prioritization, focusing the team on highest-impact work while managing tradeoffs across speed, quality, and cost • Ensure high standards for operability, reliability, and performance in production systems • Oversee delivery across batch and real-time data systems • Build, lead, and scale a high-performing team of engineers and technical leads • Set a high bar for technical design, code quality, and system reliability • Mentor and develop engineers, creating strong technical ownership and accountability • Foster a culture of ownership, urgency, and continuous improvement • Partner closely with Product, Data Science, Platform, and Infrastructure teams

• Define the red team's strategic roadmap • Lead, coach, and grow a team of offensive security engineers • Stay technically involved in engagement scoping • Drive remediation outcomes cross-functionally • Build purple team workflows with detection engineering • Direct the development of red team infrastructure • Translate offensive findings into risk language • Design repeatable processes and metrics that communicate the team's value

• lead Paddle's churn prevention product, helping our customers recover failed payments through smart dunning retries and automated recovery emails • reducing voluntary churn via cancellation flows and term optimisation • facilitate the delivery of initiatives to a high standard from initial concept and planning through to rollout, collaborating with engineers and non-technical colleagues • manage, and coach the engineers in your team so that they develop both personally and professionally, and are able to perform together with impact • partner with the team’s Product Manager to create a roadmap for success • drive improvements to the processes and practices of the team • help to continuously improve the reliability and scalability of Paddle’s high-traffic event-driven system • work with other leaders across Engineering, contributing to the department's engineering principles and practices

• Lead and grow the engineering team — hire, mentor, and develop engineers across product, platform, and infrastructure disciplines, building a culture of ownership, craft, and continuous improvement. Build a culture where engineers deeply understand and empathize with customers, not just internal requirements • Champion AI-native engineering practices. • Define and own the AI engineering roadmap, aligning technical direction with company and product strategy. • Oversee architecture and implementation of LLM-driven systems, including retrieval-augmented generation (RAG), chat agents, and semantic search pipelines. • Champion best practices for model evaluation, and AI feature integration. • Evaluate, integrate, and optimize LLMs (e.g., GPT, Claude, Llama, Mistral) for production use cases. • Collaborate with engineering leadership to ensure scalability, performance, and reliability across CoreStory’s Platform. • Foster a strong culture of experimentation, learning, and innovation across the engineering team. • Stay ahead of emerging trends in LLMs, RAG architectures, and AI frameworks — translating research into product-ready capabilities. • Own delivery velocity and execution — establish engineering processes, sprint cadences, and delivery practices that keep teams moving with clarity and confidence — without unnecessary overhead. Driving ownership of customer-facing engineering issues end-to-end