Senior Data and AI Specialist

Remote - USfull timeRemote

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senior

$106k–$133k

H1B: yes

Twilio Senior Data and AI Specialist at Twilio responsible for building AI-driven automation and data analysis tools to improve product quality and optimize business operations. Collaborate cross-functionally to deliver scalable data products and automate manual workflows.

Responsibilities

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 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.
Cross-Functional Leadership & Ownership
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.

Qualification

Experience using PythonExperience building agents (eFamiliarity with telecomExperience in SaaS

Required

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!
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.
Sharp written and verbal communication skills to articulate findings.
Able to break down business problems into manageable pieces.
History of using technology safely with frameworks and metrics to ensure accuracy, efficiency, maintainability, and safety
Familiarity with telecom, messaging, and voice networks.
Experience in SaaS, technology, management consulting, or investment banking.