AI Sales Intelligence Analyst

F5 Networks, Inc in; Seattle (WA); On-site; USD 77,000 - 116,000; Full time

Job summary

F5 maintains a broad salary range for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions. The annual base pay for this position is $77,400.00 - $116,200.00.

This role sits in Seattle, WA and is not offering remote work at this time. Your responsibilities include designing AI-powered analytics experiences for the global sales organization, translating business questions into scalable data products, and collaborating with

Qualifications

• BA/BS degree in Computer Science, Data Science, Statistics, Finance, Business Administration, or a related field; AI/ML coursework is a plus.
• 2–3 years of professional experience in data analytics, data engineering, analytics engineering, or applied AI/ML; relevant coursework or projects count as experience.

Responsibilities

• Translate business questions into well-scoped agents, semantic models, and data products.
• Build and maintain conversational AI agents for revenue, pipeline, and territory questions.
• Develop agent components using ADK and connect to Salesforce, Snowflake, and Databricks data.
• Create YAML semantic models, retrieval pipelines, and vector search indexes for trusted data.
• Build data pipelines feeding agent tools, embeddings, and evaluation datasets.

Skills

SQL skills

Python

LLM experience

Communication skills

Collaboration

CRM data knowledge

Education

BA/BS in CS/Data Science/Statistics/Finance/Business Admin

Tools

SharePoint

Salesforce

Snowflake

Databricks

BigQuery

Tableau/Power BI/Looker

Job description

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

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

AI Sales Intelligence Analyst (Security)

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 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 [e-mail] .