Twilio
Communications
SeniorManager,MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Manager, Machine Learning at Twilio. Skills: Machine Learning, AI, ML Platform Development, LLM Orchestration, ML Ops, Team Leadership. Leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI. Owning the development of 0-to-1 platform features that empower developers to build sophisticated, context-aware customer engagement applications”
What You'll Achieve.
Define and track key performance indicators (KPIs) to measure the impact and success of the team’s ML products
Industry & Context.
Translate ambiguous business problems into a clear, prioritized ML product roadmap
May be required to travel occasionally to participate in project or team in-person meetings
What They're Looking For.
Must Have
Bachelors in Computer Science, Engineering, or a related field, 10+ years of experience in Applied ML or AI, 3+ years of either leading a team of Machine Learning Engineers or data scientists, Proven experience defining and executing a multi-year technical vision and strategy for a large-scale, complex ML platform or product, Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, Deep knowledge of LLM orchestration, embedding models, and vector stores, Extensive experience with ML Ops and LLM Ops patterns, Designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale, Background in building cloud-based services using AWS, GCP, or Azure, Experience managing high-volume data and various data stores, Experience in recruiting, hiring, and scaling high-performing Machine Learning or engineering teams, Exceptional communication and collaboration skills, Proven ability to mentor engineers, Proven ability to influence product direction, Proven ability to drive results across multiple teams
Nice to Have
Master's or Ph. D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field from a top-tier university, Track record of relevant publications at top ML conferences or significant open-source contributions, Experience working on conversational AI agents, Experience working in a geographically distributed setting
What You'll Do.
Leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI
Owning the development of 0-to-1 platform features that empower developers to build sophisticated
context-aware customer engagement applications
Actively contributing technical expertise
Bridging the gap between theoretical research and production-grade experimentation
Providing strategic direction to the team
Establishing a high-performing engineering setup that enables rapid iteration
and deployment of models
Translating ambiguous business problems into a clear
prioritized product roadmap
Communicating progress and updates to leadership
Collaborating with other engineering teams and cross-functional teams
Driving continuous improvement in the team's processes
Monitoring the ML and AI landscape
and developing a diverse and highly-skilled team of Machine Learning Engineers
Defining and tracking key performance indicators (KPIs)
Managing project timelines
Ensuring timely delivery of high-quality
and scalable ML solutions
How You'll Work.
Team & Collaboration
Collaborate with other engineering teams and cross-functional teams; Work closely with cross-functional stakeholders; Foster close partnership with product and business stakeholders; Exceptional collaboration skills; Proven ability to drive results across multiple teams
Communication Scope
Exceptional communication and collaboration skills; Communicate progress and updates to leadership; Communicating results clearly to leadership and stakeholders
Process & Methodology
Manage project timelines, Manage dependencies, Manage risks, Ensuring timely delivery
Full Job Description
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. 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. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Senior Manager, Machine Learning on Twilio’s Conversation Memory team. About the job This position is critical to leveraging Twilio’s massive data ecosystem and communication scale to build foundational platform capabilities for the next generation of conversational AI, specifically by owning the development of 0-to-1 platform features that empower developers to build sophisticated, context-aware customer engagement applications. This is a highly technical, hands-on role, requiring a "player-coach" mentality to actively contribute technical expertise, bridge the gap between theoretical research and production-grade experimentation, and provide strategic direction to the team, rather than being purely a people manager. The leader in this role must demonstrate a strong bias for action, establishing a high-performing engineering setup that enables rapid iteration, experimentation, and deployment of models in this 0-to-1 setting. Furthermore, they will be responsible for working closely with cross-functional stakeholders to translate ambiguous business problems into a clear, prioritized product roadmap and communicate progress and updates
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