Senior Manager, Software Engineering

Summary

Join Twilio as a Senior Engineering Manager on the Traffic Intelligence team, managing a team of machine learning engineers. You will collaborate with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services, understanding customer needs and building global-scale ML and Data Science products. This role involves end-to-end execution of large-scale ML solutions and partnering with technology and product leaders. You will champion your team's success, advocate for agile processes, and solve strategic problems. The position requires significant experience in machine learning, software engineering management, and cloud technologies. The role is remote-based in India.

Requirements

• You have a minimum of 14+ years experience with 5 years of proven track record of leading and managing software teams
• Experience managing multiple workstreams within the team
• Bachelor’s or Master’s degree in Computer Science, Engineering or related field
• Applied ML models with proficiency in Python
• Experience in modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.)
• Experience in Cloud technologies like AWS, GCP etc
• Experience in ML frameworks like PyTorch, TensorFlow, or Keras etc
• SaaS Telemetry and Observability tools such as Datadog, Graphana etc
• Excellent problem solving, critical thinking, and communication skills
• Broad knowledge of development environments and tools used to implement and build code for deployment
• Have strong familiarity with agile processes, continuous integration, and a strong belief in automation over toil
• As a pragmatist, you are able to distill complex and ambiguous situations into actionable plans for your team
• Owned and operated services end-to-end, from requirements gathering and design, to debugging and testing, to release management and operational monitoring

Responsibilities

• Build and maintain scalable machine learning solutions for Traffic Intelligence vertical
• Be a champion for your team, setting individuals up for success and putting others’ growth first
• Understand the architecture and processes required to build and operate always-available complex and scalable distributed systems in cloud environments
• Advocate agile processes, continuous integration and test automation
• Be a strategic problem solver and thrive operating in broad scope, from conception through continuous operation of 24x7 services
• Exhibit strong communication skills: in person, or on paper. You can explain technical concepts to product managers, architects, other engineers, and support

Preferred Qualifications

• Experience with Large Language Models
• Experience designing and implementing highly scalable and performant ML models

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program