**This position is located in Seattle, WA**.

Position Summary

We'relooking for a builder-minded analyticsprofessional to join F5's Sales Business Intelligence team and help develop AI-powered analytics experiences for our global sales organization. This role sits at the intersection of data engineering, applied AI, and sales operations — and, equally important, at the intersection of the many partner teams that make sales intelligence possible. You will spend as much time listening to sales leaders, account teams, and cross-functional partners as you do writingcode: translating ambiguous business questions into well-scoped agents, semantic models, and data products, and then clearly explaining what these systems can and cannot do.

You will help design, build, andmaintainconversational analytics agents that allow sales leadership and executives to interrogate revenue, pipeline, and territory data in natural language. You will contribute to new agent builds and integrations — connecting our SharePoint, Salesforce, Snowflake, and Databricks ecosystems into a unified sales intelligence layer using modern enterprise AI platforms, agent frameworks, and related tooling. This is a strong opportunity for an early-career analyst or engineer who combines hands-on AI/LLM experience with strong communicationand collaboration instincts.

Primary Responsibilities

Partner with Sales and Cross-Functional Teams

• Serve as a trusted, approachable partner to Sales Operations, Finance, IT, and Sales Leadership — listening carefully to business questions and translating them into well-scoped agents, tools, and semantic model extensions

• Run working sessions, demos, and user feedback loops with sales users to shape AI products thatactually getadopted

• Build executive-ready written materials, talking points, and demo narratives that explain complex AI systems in clear, non-technical language

Build and Maintain AI-Powered Sales Intelligence

• Build andmaintainconversational AI agents that answer sales, pipeline, bookings, discounting, and territory questions for the global sales organization

• Contribute to new agent builds and support integrations between enterprise AI platforms and our SharePoint, Salesforce, Snowflake, and Databricks systems

• Develop agent components using modern agent frameworks such as the Agent Development Kit (ADK), including specialized analyst sub-agents, tools, and connectors toBigQuery, Snowflake, and Salesforce data

• Author and iterate on YAML semantic models, retrieval pipelines, and vector search indexes that ground agent responses in trusted, governed sales data

• Build andmaintaindata pipelines in Snowflake, Databricks, and BigQuerythat feed agent tools, embeddings, and evaluation datasets

Ensure Quality, Governance, and Adoption

• Contribute to evaluation of agent quality, routing accuracy, and response faithfulness, including building andmaintainingregression test cases

• Collaborate with IT and Security teams to support security reviews, threat modeling inputs, and production deployment of AI applications

• Help enable sales users on new AI tools through documentation, onboarding sessions, office hours, and day-to-day user support

• Bring awareness to data quality, integrity, and accessibility issues and support efforts to resolve them