Senior Data and AI Specialist, Twilio

• 5+ years of professional experience in developing technical data and automation solutions
• Extensive experience working with SQL and relational database schemas
• Extensive experience with Google Sheets (or Excel), Tableau, and/or Looker
• Experience using Python, APIs, or workflow platforms (e.g., Airtable, Coefficient, Zapier/n8n) to build automated data workflows and process pipelines
• Experience building agents (e.g. Claude Code, Claude Cowork, OpenAI, Gemini) and training LLM models to solve complex, multi-step, unstructured problems
• Strong understanding and orientation toward data management, governance, and hygiene

Desirable

• We are seeking a high-achieving individual to join Twilio’s Strategy & Operations team within the Industry Relations & Strategic Growth organization
• In this high-visibility role, you will use data analysis, scripting, and agentic workflows to improve product quality, fight fraud, reduce billing errors, and optimize gross margins for our global telecommunications network
• You will build root-cause-analysis tools and automations that query complex datasets, uncover trends, drive human decisions, and allow business partners to self-serve data insights
• To achieve this, you will collaborate closely with Carrier Relations to define business requirements, engage with Enterprise Technology and Engineering to build data pipelines and governance, and partner with Product, Supply Operations, and Finance to deliver scalable data products
• You will handle manual data analytics workflows of today while re-imagining and rapidly prototyping agentic workflows for tomorrow
• You will be part of a company that is the category leader in Communications Platform as a Service (CPaaS), an organization working with the largest customers and partners, and a team of operators and former consultants that have delivered exceptional impact in product-led growth, international expansion, compliance, and go-to-market
• If you have an extreme owner / founder mindset and a desire to solve big challenges, you’ll find yourself at home
• Architect, test, and deploy LLMs and agents to automate unstructured, multi-step data investigations
• Architect, test, and deploy automated workflows (using Python) to transform repetitive manual processes into scalable impact
• Architect, test and deploy single-user tools and multi-user workflows to drive human efficiency
• Implement strong data architecture and AI orchestration frameworks for safety, accuracy, efficiency and maintainability
• Perform SQL queries and multi-step data analyses across complex telecommunications datasets to optimize gross margins, reduce fraud, and improve network quality
• Design dashboards and repeatable BI solutions (using Tableau, Looker, or Python) that deliver actionable insights to business partners
• Define key performance indicators (KPIs) and track performance over time
• Collaborate with Carrier Relations, Enterprise Technology, Product, Supply Operations, and Finance to translate complex business needs into data requirements and governance standards
• Write and verbally communicate insights that directly answer business questions
• Act as a self-starter who takes end-to-end ownership of data products – from scoping requirements and authoring documentation to final execution and delivery
• Ensure projects are delivered on time and to a high standard, positively impacting customer experience and company success

• Applications for this role are intended to be accepted until September 20, 2026 but may change based on business needs