Senior Manager, Machine Learning Remote - US

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. Our dedication to remote‑first work and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. About the job The Traffic Intelligence organization at Twilio establishes trusted communications, ensuring that every interaction is safe, wanted and legal. This role is needed to build advanced machine learning models and robust data pipelines that enable fast, accurate risk predictions and decisions at scale across all communication channels, including messaging, voice and email. The engineering team leads systems that are highly scalable and determines if the communications are legal and wanted in near real‑time or prior to being sent from the platform. 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 and interface with key stakeholders on executive‑level initiatives. Responsibilities Manage and mentor a team of Machine Learning and Data Engineers and positively influence their careers. Partner with Product Managers and Architects to translate 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. Build robust, scalable batch and real‑time data pipelines with data platform teams. Work closely with Fraud and Compliance Operations and Data Analytics to understand evolving fraud vectors and respond to new threats. Ensure new and existing products incorporate anti‑fraud efforts and publish appropriate data to fraud‑fighting tools. Advocate for agile processes, continuous integration (CI/CD), automated testing, and sophisticated model monitoring to reduce toil. Maintain rotating on‑call incident escalation and response processes for the team. Manage highly critical risk platform tools in the cloud and own reliability for the team’s services. Adapt to prioritising multiple issues in a high‑pressure environment. Understand complex architectures and collaborate with multiple teams. Plan short‑term and long‑term goals, assess tactical and strategic commitments, and manage capacity. Qualifications Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10–14+ years of experience in machine learning / data engineering. 5+ years of experience leading and managing engineering teams. Proven track record of shipping and maintaining production ML models. Experience developing highly available full‑stack applications and distributed systems. Stellar communication, organization and management skills in an agile environment. Ability to explain technical and business decisions succinctly and in detail. Expert proficiency in Python; familiarity with Java or Scala is a plus. Deep experience with PyTorch, TensorFlow or Keras. Experience with Kafka, Apache Spark, Hadoop, Presto and DynamoDB. Significant experience with AWS (specifically SageMaker, EKS or ECS). Familiarity with Datadog, Grafana or similar observability tools. Experience in fraud/compliance domain. Knowledge of telecommunications. Familiarity with popular LLMs and latest developments. Location This role is fully remote, except that it is not eligible for hiring in CA, CT, NJ, NY, PA, WA. Travel Occasional travel may be required for in‑person team or customer meetings. What We Offer Competitive pay, generous time‑off, parental and wellness leave, healthcare, retirement savings plan and many other benefits. Offerings vary by location. Compensation Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $141,520–$176,900. Based in New York, New Jersey, Washington State or California (outside the San Francisco Bay area): $149,840–$187,300. Based in the San Francisco Bay area, California: $166,400–$208,000. Eligible for equity and corporate bonus plan; all roles qualify for health care insurance, 401(k) retirement account, paid sick time, paid personal time off and paid parental leave. Equal Opportunity Employer Twilio is a proud equal‑opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics. We consider qualified applicants with criminal histories, per federal, state and local law. Twilio participates in the E‑Verify program in certain locations, as required by law. Applications for this role are accepted until May 21st, 2026 but may change based on business needs. #J-18808-Ljbffr Twilio