• Design, build, and run A/B tests to optimize product-led growth loops, user activation funnels, and retention strategies. • Develop and maintain user-facing components and experiences, including the free-trial sign-up and onboarding process. • Collaborate with DevOps and Engineering to scope and implement necessary infrastructure to support growth initiatives, such as trial environments or data pipelines. • Instrument, measure, and analyze experiments and user behavior to provide data-driven feedback to the Growth team. • Build and maintain integrations with marketing, analytics, and CRM tools. • Work across the full stack, with a strong emphasis on front-end, to rapidly prototype, ship, and iterate on growth-focused features. • Partner with Product and Design to ideate and prioritize growth experiments.

• Serve as the technical lead for modernizing legacy enterprise applications into a scalable, cloud-ready architecture • Define technical direction, architecture standards, and engineering best practices for the team • Lead design sessions and architecture reviews; document technical decisions and solutions • Guide decomposition of monolithic systems into well-scoped, maintainable microservices • Design and implement backend services and RESTful APIs using modern frameworks and patterns • Provide technical leadership for frontend development and ensure clean API contracts • Lead secure authentication and authorization approaches in partnership with security stakeholders • Promote CI/CD automation, infrastructure-aware design, and production readiness (logging, monitoring, resiliency) • Balance technical debt reduction with delivery timelines and operational risk • Mentor engineers through code reviews, technical coaching, and day-to-day guidance • Partner closely with product, operations, and program stakeholders to deliver high-quality outcomes • Identify risks early and recommend mitigation strategies to keep delivery on track

• Building and maintaining fullstack product features from frontend to backend. • Considering user experience, workflows, and clarity when implementing solutions. • Contributing meaningfully across UI, APIs, and services. • Shipping small, well-scoped changes frequently. • Working closely with Product, Design, and Engineering peers.

• Designing and building AI-powered features and tooling used by customers and internal teams. • Owning fullstack solutions that include frontend, backend, and AI components. • Establishing patterns, guardrails, and examples that other engineers can safely build on. • Ensuring AI features behave predictably in production, including fallback behavior and observability. • Working closely with Product, Design, and Engineering peers to scope and deliver AI-driven solutions.