• Lead and develop a team of 4–6 engineers through mentorship, coaching, and regular feedback, fostering a high-trust, inclusive, and delivery-focused environment • Spend approximately 50% of your time contributing directly to the codebase, owning meaningful product and platform work alongside your team • Partner closely with Product Management, Design, and Engineering Leadership to shape squad goals, scope work, and deliver against the roadmap • Actively participate in architectural decisions, technical design discussions, and code reviews to maintain a high bar for quality and maintainability • Lead by example in adopting and evolving AI-native, agentic development workflows, integrating them into how the team plans, builds, and ships software • Support execution by managing team capacity, prioritization, and delivery while balancing speed, quality, and technical health • Collaborate with Engineering Leadership to evolve standards, processes, and best practices across the organization

• Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams • Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution • Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable • Drive best practices for ML model lifecycle management, data pipelines, and system reliability • Work closely with Product, Clinical, Operations, and Research stakeholders to translate business and clinical needs into clear technical priorities • Partner with Tech Leads and Product to define the ML and data platform goals and roadmaps, balancing near-term wins with long-term scalability

• Collaborate with Product, QA, Design, and Project Management to clarify requirements, ensure shared understanding, align on priorities, and lead team rituals that support strong execution and effective communication. • Manage your direct reports by setting clear expectations, delivering regular feedback, and ensuring strong performance, accountability, and professional growth. • Demonstrate a deep expertise of our organization's business domain and stakeholder needs. Use your knowledge to proactively identify risks and blockers during planning discussions, architecture discussions, and RFCs. Ensure feasibility and alignment between business goals and technical implementation for team projects. • Define, monitor, and uphold high standards of development quality and efficiency. • Drive successful project delivery by managing scope, timelines, and dependencies, and ensuring deliverables meet defined requirements and business objectives. • Build and retain an industry-leading tech team through our recruiting pipeline and through your own network. • Build strong relationships with Product Management, QA, Design, and other Engineering groups to execute efficiently on team projects, including those with many dependencies. • Create, embody, and uphold a positive, high-performing, and inclusive culture. Set expectations for respectful and inclusive behavior, foster open communication, and encourage diverse perspectives. Celebrate team achievements and individual contributions to build morale and drive engagement. • Take an active stake in the careers of your direct reports. Their success is your success.

• Lead, mentor, and grow a team of software engineers, fostering a high-performance, innovative culture • Conduct regular 1:1s, provide constructive feedback, and support career development • Recruit, onboard, and retain top engineering talent • Build an inclusive, collaborative environment where engineers thrive and feel empowered to innovate • Balance team workload and manage capacity planning • Champion a culture of experimentation, learning, and continuous improvement • Drive rapid, iterative delivery using Agile/Scrum methodologies • Run effective sprint planning, retrospectives, and daily standups • Remove blockers and maintain team velocity • Set clear goals and hold the team accountable for measurable results • Balance speed with quality, ensuring sustainable pace • Make data-driven decisions to optimize delivery processes • Adapt quickly to changing priorities while maintaining team focus • Contribute to architectural decisions and technical strategy • Drive innovation by evaluating and adopting emerging technologies and best practices • Champion proof-of-concepts and technical experiments to explore new solutions • Review code and provide technical guidance to the team • Stay current with industry trends and bring forward innovative ideas • Jump into critical technical challenges when needed (hands-on debugging, problem-solving) • Establish engineering best practices, coding standards, and quality processes • Drive technical debt reduction while pushing boundaries on what's possible • Foster a culture where engineers feel safe to propose bold ideas and challenge the status quo • Build and maintain strong relationships with Product, Design, Business, and Executive stakeholders • Translate complex technical concepts into clear, business-focused communication • Partner with Product Managers to align engineering roadmap with business objectives • Proactively communicate progress, risks, and trade-offs to stakeholders • Manage expectations and negotiate priorities when necessary • Present technical proposals and recommendations to leadership • Advocate for engineering needs (technical debt, infrastructure, tooling) in planning discussions • Facilitate alignment between technical and business goals • Drive urgency and maintain momentum on key initiatives • Make quick, informed decisions to keep projects moving • Identify and mitigate risks early • Implement processes that accelerate delivery without sacrificing quality • Foster a bias toward action, rapid prototyping, and smart risk-taking • Balance strategic long-term thinking with tactical short-term execution