Teams at Twilio

Leads Twilio’s KYC and Compliance engineering team, owning roadmap delivery, platform APIs, operational tooling, system reliability, and stakeholder relationships. Drives AI-assisted development using tools such as GitHub Copilot and Claude, balances external product and internal platform priorities, and develops a high-performing engineering organization. The role requires deep cloud-native distributed-systems expertise, strong people leadership, operational rigor, and experience managing large engineering teams.

Build foundational AI and machine learning capabilities for Twilio’s Conversation Memory team. Responsibilities include researching LLM orchestration, retrieval, personalization, and autonomous agents; designing rapid experiments; and developing scalable, production-grade ML systems using cloud services, high-volume data, streaming, and real-time inference. The role also requires technical leadership through mentorship, design reviews, and engineering standards without formal management authority.

Build production-grade machine learning systems for Twilio’s Customer Memory Team. Responsibilities include researching LLM orchestration, retrieval, personalization, autonomous agents, and statistical ML; designing experiments; deploying scalable cloud services; and integrating AI development stacks. The role requires end-to-end ownership of ambitious ML systems, technical leadership through mentorship and design reviews, and collaboration in an ambiguous, fast-paced environment.