[Remote] Senior Manager, Machine Learning

Note: The job is a remote job and is open to candidates in USA. Twilio is a company shaping the future of communications with innovative solutions. The Senior Manager, Machine Learning will lead a team to build advanced machine learning models and robust data pipelines, ensuring safe and legal communications across various channels.ResponsibilitiesManage and Mentor a team of talented Machine Learning and Data Engineers with various levels of experience and positively influencing their careersPartner with Product Managers and Architects to distill customer needs into actionable technical requirements and long-term roadmapsEnsure best engineering practices & oversee end-to-end execution of large-scale ML solutions with operational excellenceWork with data platform teams to build robust, scalable batch and real-time data pipelinesWork closely with the Fraud and Compliance Operations team and the Data Analytics team to identify and understand the ever-changing landscape of fraud vectors and then take action to keep up with new forms of fraudWork with other product and development teams to ensure that Twilio’s new and existing products incorporate anti-fraud efforts and publish the appropriate data to our fraud-fighting toolsAdvocate for agile processes, continuous integration (CI/CD), automated testing, and sophisticated model monitoring to minimize 'toil.'Institute and maintain a rotating on-call incident escalation and response processes for the teamManage highly critical risk platform tools in the cloudOwn reliability for the team’s services and participate in an on-call rotationAdapt to prioritizing multiple issues in a high-pressure environmentUnderstand complex architectures and be comfortable working with multiple teamsConduct short term and long term planning to achieve team’s goals identifying both tactical and strategic commitments and gaps while performing capacity management and ruthless prioritizationSkillsBachelor's or Master's degree in Computer Science, Engineering, or a related field10–14+ years of total experience in machine learning /data engineering. 5+ years of experience leading and managing engineering teamsProven track record of shipping and maintaining ML models in a fast-paced, production environmentExperience developing highly-available full stack applications and distributed systemsStellar communication, organization and management skills with proven track record in an agile environmentAbility to explain your technical and business decisions succinctly as well as in detailLanguages: Expert proficiency in Python. Familiarity with Java or Scala is a plusML Frameworks: Deep experience with PyTorch, TensorFlow, or KerasData Tools: Experience with Kafka, Apache Spark, Hadoop, Presto, and DynamoDBCloud Platforms: Significant experience with AWS (specifically SageMaker, EKS, or ECS)Observability: Familiarity with tools like Datadog and GrafanaExperience working in fraud/compliance domainKnowledge of telecommunicationsFamiliarity with popular LLMs and latest developmentsBenefitsGenerous time-offAmple parental and wellness leaveHealthcareA retirement savings programTwilio’s equity planCorporate bonus planHealth care insurance401(k) retirement accountPaid sick timePaid personal time offPaid parental leaveSupporting their volunteering and donation effortsCompany OverviewTwilio is a cloud communication company that enables users to use standard web languages to build voice, VoIP, and SMS apps via a web API. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.twilio.com/.Company H1B SponsorshipTwilio has a track record of offering H1B sponsorships, with 12 in 2026, 215 in 2025, 168 in 2024, 209 in 2023, 369 in 2022, 264 in 2021, 157 in 2020. Please note that this does not guarantee sponsorship for this specific role.