See yourself at Twilio

Join the team as our nw AI/ML Data Science Manager in Efficiency Engineering. This is an opportunity to hire, grow and develop our AI function.

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

About the job

This position is needed to hire, grow and develop our AI/ML Data Science team globally. This team will execute on our vision to reinvent how we operate at Twilio with intelligent, self-service solutions for Customer Support and Operations teams, and replace manual processes with AI and automation. This key leader will have the opportunity to establish this new Data Science and AI Engineering team, develop a high-performance culture and partner with our engineering, business and program management teams, globally. In this role, you will be responsible for providing guidance on technical decisions, mentoring developers, and partnering with program managers, designers, full stack developers, and AI/ML engineers to deliver innovative, high-quality software efficiently. This leadership role requires a range of technical expertise in large language models, a deep understanding of data science and machine learning techniques, and effective stakeholder collaboration.

Your primary responsibilities will be to hire the best AI/ML and Data Science talent, mentor and develop your team through regular feedback, and consistently deliver on time and on quality.  You serve as a trusted collaborator that builds positive relationships between AI/ML engineering and our partners, internal teams and leadership.  To succeed in this role, you will have a strong sense of ownership for our engineering products, and possess a deep technical background to develop constant growth and innovation. 

This is an opportunity to be the key leader of a fast-growing team, and shape the future of how Twilio works for internal Twilions and customers alike.

Responsibilities

In this role, you’ll:

• Establish and model a high-performance culture of our AI/ML Data Science team;
• Collaborate globally with our business stakeholders, Program Managers, and engineering teams;
• Innovate
• Build Machine Learning Infrastructure and applications;
• Cultivate a team of builders and owners that collaborate, grow and continuously improve together;

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Live by and champion our Twilio Magic
• At least 5 years of experience in AI/ML Data Science
• Experience leading an AI/ML Data Science team
• Establish standard methodologies and continuously improve how we operate
• Provide performance feedback and coaching for the team, including creating staff development plans and mentoring your team in a way that reflects the needs of individual developers and data scientists
• Lead all ML development and deployment for sales and support use cases, including recommendation engines, forecasting, and predictive tagging.
• Lead delivery of AI/ML tools to streamline and automate business processes, significantly improving efficiency across support, operations, and sales.
• Drive efficiency, predictability and quality of our software work you're doing
• Work collaboratively with peers and partner with engineering managers and leaders across Twilio
• Work effectively with Program Managers to execute on our roadmap and priorities, deliver business value, and drive the Return-on-Investment (ROI) of our engineering products;
• Establish an Agile developm