AI Sales Intelligence Analyst

Position Summary

Werelooking fora builder-minded analyticsprofessional to join F5s 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 dowritingcode: 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 withstrong 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 andBigQuerythat 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

Other

• Uphold F5s Business Code of Ethics and promptly report violations of the Code or other company policies

• Performadditionalduties as assigned

KnowledgeSkillsand 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 Googles Agent Development Kit (ADK)LangGraphLangChain 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 SnowflakeBigQuery or Databricks

• Proficiencyin Python for data work and API integrations; familiarity with full-stack development (FastAPI or similar) is a plus

• Familiarity with at least one major cloud platform: Google Cloud (Vertex AIBigQuery) or Microsoft Azure (Azure AD Key Vault Logic Apps)

• Experience working with CRM or enterprise business data such as Salesforce opportunity forecasting or territory data is a plus

• Experience with a data visualization tool such as Tableau Power BI or Looker and an eye for clearaccuratepresentation of data

• Experienced in Microsoft Office and collaborative tools (SharePoint Teams)

Qualifications

• BA/BS degree in Computer Science Data Science Statistics Finance Business Administration or a related field; coursework or academic projects in AI machine learning or applied LLM systems is a strong plus

• 23 years of professional experience in data analytics data engineering analytics engineering or applied AI/ML; equivalent combinations of relevant coursework research internships or substantial personal projects on AI systems will also be considered

• Any hands-on experience building LLM or agent-based applications professional academic or personal is strongly preferred

• Experience supporting asales revenue operations or comparable GTM organization is a plus not a requirement

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