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 development (FastAPI, Next.js, or similar) is a plus
Familiarity with at least one major cloud platform: Google Cloud (Vertex AI, BigQuery) 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 clear, accurate presentation 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 required; coursework or academic projects in AI, machine learning, or applied LLM systems is a strong plus
2–3 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 a sales, revenue operations, or comparable GTM organization is a plus, not a requirement
#LI-EM1 #LI-Hybrid
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $77,400.00 - $116,200.00
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.
You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.
