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F5

AI Sales Intelligence Analyst

F5

AI Sales Intelligence Analyst creating AI-powered analytics solutions for F5’s global sales. Collaborating with cross-functional teams to enhance sales operations and decision-making.

Posted 5/5/2026full-timeSeattle • Washington • 🇺🇸 United StatesJuniorMid-Level💰 $77,600 - $116,400 per yearWebsite

Tech Stack

Tools & technologies
BigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Partner with Sales and Cross-Functional Teams
  • Run working sessions, demos, and user feedback loops with sales users to shape AI products that actually get adopted
  • Build and maintain conversational AI agents that answer sales, pipeline, bookings, discounting, and territory questions
  • Contribute to evaluation of agent quality, routing accuracy, and response faithfulness
  • Ensure security reviews, threat modeling inputs, and production deployment of AI applications

Requirements

What you’ll need
  • BA/BS degree in Computer Science, Data Science, Statistics, Finance, Business Administration, or a related field required;
  • 2–3 years of professional experience in data analytics, data engineering, analytics engineering, or applied AI/ML;
  • Any hands-on experience building LLM or agent-based applications — professional, academic, or personal — is strongly preferred
  • Exposure to at least one agent framework such as Google's Agent Development Kit (ADK), LangGraph, LangChain, Vertex AI Agent Builder, or Snowflake Cortex Agents;
  • Solid SQL skills and working experience with a cloud data warehouse such as Snowflake, BigQuery, or Databricks;
  • Proficiency in Python for data work and API integrations; familiarity with full-stack development is a plus;
  • Experience with a data visualization tool such as Tableau, Power BI, or Looker;

Benefits

Comp & perks
  • More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analyticsdata engineeringanalytics engineeringapplied AImachine learningSQLPythondata visualizationfull-stack developmentagent-based applications
Soft Skills
collaborationcommunicationproblem-solvinguser feedbackevaluationsecurity awareness