Staff, Data Product Manager

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!

We are seeking a Staff, Data Product Manager to lead the strategy, development roadmap, and lifecycle of our data products and platforms. In this role, you will work at the intersection of data, technology, and business to unlock the value of data across the organization. You'll define the roadmap for data solutions, collaborate with cross-functional teams, and ensure data products are scalable, reliable, and user-friendly.

Together we'll turn fragmented, raw data into structured, usable assets that drive decision-making, automation, and personalization across teams. You'll ensure the right data is accessible, trustworthy, and actionable to power everything from executive insights to predictive models. You'll bridge the gap between technical teams who build data infrastructure and business teams who rely on it, aligning data strategy with business goals.

In short, you will turn data into our most valuable asset to drive business growth.

• Define and own the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, model features and enhancements, etc) that support data-driven insights, decisioning, and actions.
• Act as the bridge between data engineers, data scientists, analysts, and business stakeholders to translate business needs into data solutions.
• Develop product requirements and user stories focused on data access, usability, performance, and quality.
• Prioritize data initiatives based on business impact, technical feasibility, and data availability.
• Ensure proper data governance, privacy, and compliance practices are followed.
• Ensure teams have self-service access to GTM data via platforms, tools, and interfaces.
• Monitor and improve data quality, reliability, and user adoption of data tools and features, providing regular reporting on effectiveness and areas for improvement.
• Define and track success metrics for data products, ensuring they meet business and technical goals.
• Foster a culture of data-driven decision making by making data products intuitive and accessible.
• Partner with finance, product, and sales teams to ensure that data products serve the needs of our internal customers.
• Stay informed about industry trends, tools, and best practices in data product management and data enablement.
• Develop training materials to empower teams across the organization to use data effectively for decision-making, campaign execution, and customer engagement.
• Lead initiatives to improve data literacy across teams, ensuring that data is accessible, understandable, and actionable.
• Identify opportunities for innovation in how we leverage data, driving new methodologies and technologies to enhance data utilization and customer experience.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to 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:

• 8 years of experience in product management, engineering, or analytics with a focus on data products, analytics platforms, or data infrastructure, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
• Strong understanding of data platforms, data pipelines, and…