[Hiring] Staff Software Engineer @Twilio

Role Description

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. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products.

We are looking for Full-Stack Engineers who view AI as a fundamental shift in the software development lifecycle of engineering products and the delivery of beautiful, engaging user experiences. This is an opportunity to deliver innovative software products and solutions across every business function in the company such as Sales, Marketing, GTM, HR, Finance, and Legal.

Joining this team means building production grade, full-stack AI applications. You won’t just be wrapping APIs; you will be engineering the entire lifecycle of agentic applications. As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products, bridging the gap between bleeding-edge AI research and robust, full-stack production systems.

Responsibilities

• 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, overseeing the integration of complex React-based front-ends with backend modular services.
• Serve as developer leader in distributed systems and 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, fostering a culture of technical excellence.
• 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.

Qualifications

• 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.

Requirements

• Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• Retirement savings program
• And much more (offerings vary by location)