Manage and coach software engineers across data product teams while remaining hands-on in code and design reviews. Partner with tech leads and product managers, uphold engineering quality, improve delivery predictability and on-call health, oversee hiring and career development, and guide production operations. Lead adoption of AI-assisted engineering practices and influence stakeholders without direct authority.

Leads the technical direction and architecture of data product systems, including APIs, backend services, data stores, and processing systems. Builds and reviews production code, partners with product managers, data scientists, and ML engineers, and oversees system design, operations, observability, and on-call health. The role also mentors engineers, drives cross-team technical alignment, evaluates machine-learning production systems, and guides effective use of AI engineering tools.

Leads full-stack development for account management capabilities, designing secure, scalable cloud-based applications with Vue.js, TypeScript, and Node.js. Responsibilities include developing microservices, improving reliability and observability, integrating AI-assisted engineering workflows, resolving high-priority issues, mentoring engineers, leading technical ceremonies, and maintaining documentation. The role focuses on authentication, identity and access management, invoicing, payment terms, and address book functionality.