Senior Manager, Software Engineering (L5)

See yourself at Twilio

Join the team as Twilio s next Senior Engineering Manager on Twilio s Traffic Intelligence team.

About the job

This position is needed to manage the team of machine learning engineers of the Growth & User Intelligence team and closely partner with Product & Engineering teams to execute the roadmap for Twilio s AI/ML products and services.

You will understand customers needs, build ML and Data Science products that work at a global scale and own end-to-end execution of large scale ML solutions. As a senior manager, you will closely partner with technology and product leaders in the organization to enable the engineers to turn ideas into reality.

Responsibilities

In this role, you ll:

• 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.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasnt followed a traditional path, dont let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 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.
• Technical Experience with:
• 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.

Desired:

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

Location

This role will be remote, and based in India(Karnataka, Tamil Nadu, Telangana, Maharashtra & New Delhi)

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.