Currently tracking 14 active AI roles, with 52 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$277k (avg $211k).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer (L4) Staff Software Engineer for the Enterprise AI Engineering team, focusing on building production-grade, full-stack AI applications and agentic solutions to transform customer support operations. The role involves leading the design and development of software infrastructure, integrating front-ends with backend services, and mentoring engineers. | Agent | 7 |
| Compliance Operations Specialist 1 This role focuses on monitoring Twilio product usage (voice, SMS, email) to ensure legality, compliance, and user consent, preventing fraud and abuse. It involves investigation, trend identification, root cause analysis, and customer support via email. | — | 0 |
| Technical Support Expert 2 This role provides technical support for Twilio's Email platform, handling customer inquiries, resolving complex issues, logging interactions, and escalating problems to Product and Engineering teams. It involves mentoring new team members, contributing to knowledge bases, and ensuring support SLAs are met. The role requires strong problem-solving, communication, and technical skills, particularly with Email APIs and deliverability. |
| — |
| 0 |
| Technical Account Manager 3 Twilio is seeking a Technical Account Manager 3 to serve as the designated technical support engineering contact for their strategic customers. This role involves resolving complex technical problems, providing proactive guidance on Twilio technologies, and delivering recommendations to prevent downtime. The TAM will also collaborate with customers' developers and architects, provide customer feedback to Twilio's Product and Engineering teams, and analyze customer trends to drive improvements. | — | 0 |
| MDM Data Specialist This role focuses on managing and maintaining the integrity of enterprise data, specifically core data domains like Customer and Product. Responsibilities include resolving data conflicts, managing hierarchies, overseeing data consolidation, establishing data quality KPIs, performing root-cause analysis, and supporting data governance standards. The role requires strong SQL skills, understanding of Master Data Management (MDM) concepts, and experience with data quality tools. | — | 0 |