Senior Manager of Machine Learning

Role overview

Join Twilio as a Senior Engineering Manager (Machine Learning) in the Messaging Risk & Decision Platform team. You will build advanced ML models and robust data pipelines to enable fast, accurate risk predictions and decisions across Twilio’s communication channels.

Responsibilities

• Develop and operate ML and data solutions for risk prediction and decisioning.
• Build robust data pipelines to support high-quality, production-ready model workflows.
• Lead, mentor, and manage a team of machine learning and data engineers; actively support their growth.
• Partner with product managers and architects to translate customer needs into actionable technical requirements and long-term roadmaps.
• Ensure best engineering practices and strong execution in an agile environment.

Requirements

• 10–14+ years total experience in machine learning and/or data engineering.
• 5+ years experience leading/managing engineering teams.
• Proven track record shipping and maintaining ML models in production under fast-paced conditions.
• Strong distributed systems and production engineering background.
• Expert Python proficiency.
• Experience with ML frameworks: PyTorch, TensorFlow, and/or Keras.
• Data tooling experience with Kafka, Apache Spark, Hadoop, Presto, and DynamoDB.
• Cloud experience with AWS, specifically SageMaker, EKS, or ECS.
• Domain experience: fraud/compliance and familiarity with telecommunications.
• Observability familiarity (e.g., Datadog, Grafana).
• Strong ability to communicate technical and business decisions clearly.

Nice to have

• Familiarity with LLMs and latest developments.
• Knowledge of telecommunications signals/behavior and advanced decisioning.
• Java or Scala knowledge.
• Experience with highly-available full-stack applications and distributed systems.