AI Sales Intelligence Analyst

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.  Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. **This position is located in Seattle, WA**. ***We are not considering remote employees at this time. Thank you.*** Position Summary   We're   looking for   a builder-minded analytics   professional 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   writing   code: 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, and   maintain   conversational 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 communication   and 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 that   actually get   adopted   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 and   maintain   conversational 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 to   BigQuery , 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 and   maintain   data pipelines in Snowflake, Databricks, and   BigQuery   that 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 and   maintaining   regression 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   Other   Uphold F5's Business Code of Ethics and promptly report violations of the Code or other company policies   Perform   additional   duties as assigned   Knowledge,   Skills   and Abilities   Communication Excellence   Strong written and verbal communication skills, with the ability to convey complex technical AI concepts in clear, concise language for non-technical audiences   Comfort presenting work, demos, and findings to peers, senior stakeholders, and on occasion executive leadership   Ability to produce clear documentation, enablement materials, and user-facing written communications   Collaboration and Partnership   Exceptional collaboration instincts, with the ability to build trusted working relationships across sales, operations, finance, IT, and engineering functions   Strong listener — able to sit with ambiguous business problems, ask good questions, and translate what they hear into concrete technical scope   Comfortable working under time constraints and iterating on ambiguous problems with guidance from more senior team members   Applied AI and Agent Building   Hands-on experience building with LLMs, including prompt engineering, tool use / function calling, and retrieval-augmented generation — in a professional, academic, or substantive personal project setting   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   Working understanding of enterprise AI and data governance concepts — including access controls, PII handling, and responsible AI practices — or a clear eagerness to learn   Data and Technical Proficiency   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 develo