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Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team. Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products.
Job Responsibility:
Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance
Drive the development of sophisticated, stateful web applications. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience
Serve as developer leader in distributed systems, data technologies, with strong software engineering skills
Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices
Mentor and elevate a team of high-performing engineers. You don’t just write great code
you foster a culture of technical excellence, helping senior and mid-level engineers level up through deep-dive code reviews and architectural workshops
Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions
Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency
Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field
8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role
Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React
Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems
Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines
Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams
Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams
Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines
Nice to have:
Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others
Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure)