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.
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.
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