Senior Manager, Machine Learning
WFA Digital Insight
The demand for machine learning specialists has skyrocketed in recent years, with a 25% increase in job postings in 2025 alone. As companies like Twilio continue to revolutionize the tech landscape, the need for skilled professionals who can develop and implement AI solutions has never been higher. With its strong culture of remote work and commitment to innovation, Twilio stands out as an attractive employer for those looking to make a real impact. Before applying, candidates should be aware that this role requires a unique blend of technical expertise and strategic thinking, as well as the ability to collaborate with cross-functional teams.
Job Description
About the Role
The Senior Manager, Machine Learning position at Twilio is a critical role that involves leading the development of advanced machine learning models and robust data pipelines to enable fast and accurate risk predictions and decisions. As a key member of the Traffic Intelligence organization, you will be responsible for establishing trusted communications and ensuring that every interaction is safe, wanted, and legal. This role requires a blend of technical depth in distributed systems and a strategic mindset to partner with Product and Engineering leaders to execute an AI/ML roadmap.The Traffic Intelligence organization is at the forefront of Twilio's efforts to prevent fraud and ensure compliance, and as such, this role will involve working closely with various stakeholders, including the Fraud and Compliance Operations team and the Data Analytics team. You will be responsible for managing and mentoring a team of talented Machine Learning and Data Engineers, and for driving the technical direction of the team.
Twilio is committed to a culture of remote work, and this role is no exception. As a remote employee, you will be part of a vibrant team with diverse experiences, working together to make a global impact.
What You Will Do
- Manage and mentor a team of Machine Learning and Data Engineers to develop and implement AI/ML solutions
- Partner with Product Managers and Architects to distill customer needs into actionable technical requirements and long-term roadmaps
- Ensure best engineering practices and 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
- Collaborate with the Fraud and Compliance Operations team and the Data Analytics team to identify and understand the ever-changing landscape of fraud vectors
- Work with other product and development teams to ensure that Twilio's new and existing products incorporate anti-fraud efforts
- 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 process for the team
- Manage highly critical risk platform tools in the cloud
- Own reliability for the team's services and participate in an on-call rotation
- Adapt to prioritizing multiple issues in a high-pressure environment
What We Are Looking For
- 8+ years of experience in software development, with a focus on machine learning and data engineering
- 3+ years of experience in managing and mentoring a team of engineers
- Strong technical expertise in distributed systems, machine learning, and data pipelining
- Experience with agile development methodologies and continuous integration (CI/CD)
- Excellent communication and collaboration skills, with the ability to work with cross-functional teams
- Strong understanding of the importance of trust and safety in communications
- Experience with cloud-based technologies and highly scalable systems
- Familiarity with Excel and other data analysis tools
Nice to Have
- Experience with natural language processing and computer vision
- Familiarity with containerization technologies such as Docker
- Experience with cloud-based machine learning platforms such as AWS SageMaker or Google Cloud AI Platform
- Certification in machine learning or a related field
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Flexible paid time off and vacations
- Remote work stipend and home office setup
- Professional development opportunities and conference sponsorships
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
How to Stand Out
- Highlight your technical expertise: Make sure your resume and cover letter showcase your experience with machine learning, data engineering, and distributed systems.
- Emphasize your leadership skills: As a senior manager, you will be responsible for managing and mentoring a team of engineers, so be sure to highlight your leadership experience and skills.
- Showcase your communication skills: The ability to communicate complex technical ideas to non-technical stakeholders is critical in this role, so be prepared to provide examples of your communication skills.
- Be prepared to talk about your experience with agile development methodologies: Twilio uses agile development methodologies, so be prepared to discuss your experience with these methods and how you have implemented them in previous roles.
- Research the company culture: Twilio has a strong culture of remote work and trust, so be sure to research the company culture and be prepared to discuss how you would fit in with this culture.
- Be prepared to provide examples of your problem-solving skills: As a senior manager, you will be responsible for solving complex technical problems, so be prepared to provide examples of your problem-solving skills and how you have applied them in previous roles.
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