Senior Manager, Machine Learning
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What this role actually needs.
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Responsibilities: - Manage and Mentor a team of talented Machine Learning and Data Engineers with various levels of experience and positively influencing their careers. - Partner with Product Managers and Architects to distill customer needs into actionable technical requirements and long-term roadmaps. - Ensure best engineering practices & oversee end-to-end execution of large-scale ML solutions with operational excellence. - Work with data platform teams to build robust, scalable batch and real-time data pipelines. - Work 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 fraud. - Work 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 tools. Requirements: - Ensure best engineering practices & oversee end-to-end execution of large-scale ML solutions with operational excellence. - Work with data platform teams to build robust, scalable batch and real-time data pipelines. - Work 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 fraud. - Work 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 tools. - Advocate 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 team. Benefits: - Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $207,200 - $259,000. - Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $219,360 - $274,200. - Based in the San Francisco Bay area, California: $243,680 - $304,600. - This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. Company context: Twilio is the customer engagement platform for messaging, voice, video, and customer-data orchestration.
Day-to-day expectations
Twilio lists these responsibilities for the Senior Manager, Machine Learning role.
- Manage and Mentor a team of talented Machine Learning and Data Engineers with various levels of experience and positively influencing their careers.
- Partner with Product Managers and Architects to distill customer needs into actionable technical requirements and long-term roadmaps.
- Ensure best engineering practices & oversee end-to-end execution of large-scale ML solutions with operational excellence.
- Work with data platform teams to build robust, scalable batch and real-time data pipelines.
- Work 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 fraud.
- Work 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 tools.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Ensure best engineering practices & oversee end-to-end execution of large-scale ML solutions with operational excellence.
- Work with data platform teams to build robust, scalable batch and real-time data pipelines.
- Work 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 fraud.
- Work 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 tools.
- Advocate 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 team.
Why people would want this job
Twilio published these compensation, benefits, or working-context details with the role.
- Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $207,200 - $259,000.
- Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $219,360 - $274,200.
- Based in the San Francisco Bay area, California: $243,680 - $304,600.
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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Source: job-boards.greenhouse.io · Source ID: 7066029 · Confidence: 90/100 · Last checked: May 7, 2026
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