Job Opportunities API

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 Staff Business Intelligence Engineer. About the job This position is needed to transform Twilio's data into a strategic asset – making insights accessible, reliable, and actionable for every corner of the business. The Enterprise Data team at Twilio builds the analytical foundation that the entire company depends on – from Finance to Sales to Marketing to Customer Support. We own the platforms, pipelines, and data products that help business partners move with confidence. We are seeking a Staff Business Intelligence Engineer to lead our BI platform strategy. This person would manage our reporting tools, deliver high-impact analytics, and help pioneer agentic AI capabilities that make self-service a reality across Twilio. Responsibilities In this role, you’ll: Own and evolve Twilio's suite of business intelligence tools, driving governance, performance, and long-term roadmap decisions Design and build scalable, reusable dashboards and reports that surface actionable insights for stakeholders across legal, billing operations, and other mission critical business functions Architect and deploy agentic AI solutions that enable natural language querying, automated insight generation, and self-service analytics for non-technical business partners Collaborate with data engineers, business partners, and AI/ML engineers to translate complex analytical requirements into reliable, well-documented data products Establish and champion BI best practices, including semantic layer design, metric definitions, data access governance, and documentation standards Partner with business leaders to identify opportunities where better data visibility can drive meaningful outcomes, and prioritize accordingly Qualifications  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: 7+ years of experience in business intelligence, data analytics, or a related field, with at least 2 years in a staff or senior individual contributor role Proven experience managing and administering enterprise BI platforms (Tableau, Looker, Superset, or similar) Strong SQL skills and experience with data modeling in a modern data warehouse (e.g., Snowflake, Athena, etc.) Track record of delivering self-service analytics capabilities that reduced dependency on centralized data teams Experience working directly with business stakeholders to define requirements and translate them into scalable data products Desired: Experience with dbt or similar semantic/transformation layers Familiarity with Python for analytics automation or data pipeline work Experience with LLMs, AI agents, or other AI technologies applied to analytics use cases Familiarity with data governance frameworks and access control best practices Location T