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Jobs / Twilio

Senior Data and AI Specialist

Twilio · Remote - USRemotesenior

In short

  • ▸Especialista senior en datos e IA que automatiza procesos críticos en telecomunicaciones.
  • ▸Trabaja con AI generativa y flujos agenticos para detectar fraudes, errores de facturación y mejorar márgenes.
  • ▸Destacado: impacto directo en la calidad del producto y crecimiento global en una empresa líder de CPaaS.

Fluent English required (professional proficiency)

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What they ask for

  • ✓Experto en análisis de datos con SQL y Python.
  • ✓Experiencia en automatización de flujos de trabajo con scripting.
  • ✓Habilidades comprobadas en análisis de causas raíz y modelado.
  • ✓Capacidad para trabajar con equipos de ingeniería, producto y finanzas.
  • ✓Experiencia previa con LLMs o agentes de IA en entornos productivos.
  • ✓Mentalidad de dueño (owner mindset) con enfoque en resultados.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLLLMsAgentic WorkflowsData PipelinesData GovernanceProduct-Led GrowthCPaaSCarrier RelationsEnterprise Technology

Who should you write to at Twilio?

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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. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior AI and Data Specialist About the job This position will be responsible for unlocking exceptional growth for Twilio’s customers and business. 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. Responsibilities In this role, you’ll: • Agentic AI & Workflow Automation • 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. • Analytics, Modeling & Root Cause Analysis • Perform SQL queries and multi-step data analyses across com

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