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TwilioTwilioUnited States

Tech Lead, Applied Research

Tech Lead driving AI R&D and end-to-end delivery of production-ready prototypes using full-stack development, LLMs, and emerging technologies. Requires 10+ years experience and strong autonomy.

228k – 335k
Remote10+ YOEML Engineering

About the role

Responsibilities

  • Design, develop, and own the end-to-end implementation of high-stakes prototypes and robust, production-ready solutions.
  • Drive the technical direction and collaborate with cross-functional teams to experiment with, validate, and integrate AI, machine learning, and frontier technologies.
  • Establish governance for code reviews and pioneer continuous improvements to engineering standards, mentoring peers to elevate overall code quality.
  • Articulate complex technical concepts, architectural decisions, and project velocity clearly to executive stakeholders and engineering peers.
  • Navigate ambiguity and rapidly pivot technical strategies in response to shifting requirements, user feedback, and fast-paced market dynamics.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 10+ years of professional full-stack software development experience.
  • Proficiency across modern programming languages such as JavaScript, Python, Java or Go.
  • Experience building applications using front-end (React, Angular) and/or back-end (Node.js, Springboot) frameworks.
  • Solid understanding of database technologies, including both SQL and NoSQL paradigms.
  • Mastery of an agentic coding operating model; highly effective at leveraging advanced dev tools, Model Context Protocol (MCP), and LLMs to drastically accelerate AI-assisted development.
  • Strong problem-solving skills and a collaborative mindset with effective communication skills for technical discussions.
  • Exceptional ability to navigate intense ambiguity, self-unblock execution, and ruthlessly solve ambiguous problems without requiring constant structural support.
  • Strong communication and mentorship skills, with a collaborative mindset suited for high-bandwidth technical discussions.

Nice-to-Haves

  • Hands on exposure to LLM, AI, or machine learning principles or projects.
  • Deep knowledge of cloud-based platforms (AWS, Azure) and the design principles of distributed systems.
  • Ability to ramp up on new technologies, solution against well defined problems and to be iterative about building.
  • Passion for innovation and exploring emerging technologies.
  • Experience working in remote or globally distributed teams.
  • Contributions to open source or tech community projects.

Compensation & Benefits

  • This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan.
  • All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

Skills

JavaScriptPythonJavaGoReactAngularNode.jsSpring BootSQLNoSQLAWSAzureLLMsMachine Learning

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