• Own Mento's GTM tech stack. • Clean, unify, and orchestrate data. • Build dynamic target lists. • Automate prospecting and outreach. • Route high-value actions to humans. • Partner across sales and marketing.

• Foster a high-performance environment: Actively shape and mentor your team, ensuring that every member is empowered to contribute at their highest level and thrive in a results-oriented atmosphere • Champion AI-augmented development: Integrate AI tools to accelerate coding, testing, and troubleshooting, setting the highest baseline for engineering efficiency • Drive modern engineering excellence: Leverage the best of modern practices: containerization, microservices, and self-healing systems, to deliver robust, scalable software • Onboarding & velocity: Create a seamless environment where top-tier engineers can hit the ground running and deliver meaningful production impact within their first month • Observability & customer delight: Lead with a "data-first" mindset. Ensure total visibility into system health through advanced telemetry, turning operational insights into a superior customer experience.

• Design and build high-quality features for aging parents, pre-teen wearable users, and community groups — experiences that are safe, intuitive, and genuinely useful. • Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. • Help define and codify AI-Native engineering practices for the Circle Expansion team, establishing playbooks the broader org can adopt. • Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users. • Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions. • Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement. • Participate in on-call rotation and incident response. • Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality. • Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices. • Support performance, reliability, and accessibility across the features you own.

• As a Software Engineer, you will design, develop, and optimize large-scale, distributed solutions. • You'll work on new features from idea to production. • You build AI-driven capabilities, and solve complex engineering problems in a highly collaborative environment. • Taking ownership of AI-driven security initiatives, influencing solutions beyond individual tasks. • Initiating and develop POCs, many leveraging AI and data-driven approaches, and evolve them into production-ready features. • Designing and building core enterprise security infrastructure, from architecture through deployment, with real-world impact. • Developing, operating backend services in complex, distributed environments. Balance engineering with technical leadership through design & code reviews & monitoring. • Collaborating closely with engineers, product managers, QA, UX/UI designers, and security experts across the organization. • Identifying and implementing improvements to reliability, performance, observability, and test coverage.