• Product Ownership: Build a deep working knowledge of how customer success teams use Vitally and identify problems worth solving rather than waiting for tickets. • Customer Intelligence: Mine usage data, support patterns, and product signal at scale through AI tooling to inform product decisions. • AI-Native Shipping: Operate fluently in Claude Code, Cursor, or equivalent, and prototype-as-spec as a default to communicate intent. • Outcome Accountability: Define the user-facing metrics and own whether the work moves them. • Engineering Quality: Build the system that builds the product, creating architecture, skills, and shared tooling that let agents and engineers ship quickly. • Cross-Functional Voice: Speak for the team across Vitally to Customer Success, Support, and leadership, proactively socializing decisions, blockers, and progress.

• Lead end-to-end feature development on a cloud platform • Design UI components and backend endpoints • Integrate with AWS resources • Collaborate with product, design, and QA • Mentor junior engineers and evangelize best practices

• Design, develop, and maintain modern web applications using React that integrate with backend data automation workflows • Build and support Python-based ETL pipelines to extract, transform, and load data • Collaborate with automation engineers, analysts, and cloud engineers to design intuitive, data-driven user interfaces • Integrate frontend components with APIs and automation services • Participate in sprint planning and technical discussions to refine system designs and requirements • Ensure data accuracy, performance, and maintainability across frontend and backend components

• Support team members and external partners in their understanding of the technical stack. • Design, develop, test, and deploy scalable, high-quality software solutions, including backend systems and APIs. • Write clean, maintainable, and efficient code following industry best practices. • Optimize web application performance and ensure compliance with strict regulations, such as HIPAA. • Manage cloud infrastructure, CI/CD pipelines, and automate deployment processes. • Identify and capitalize on opportunities for technical impact by meeting with external leadership and collaborating with data scientists. • Apply best engineering practices, including continuous integration/continuous deployment (CI/CD), automated testing, and DevOps principles. • Research and adopt new technologies, especially generative artificial intelligence, to securely enhance software performance and business outcomes. • Stay updated on policy changes and new research in child welfare to integrate relevant insights into the technological framework.