AI Product Associate Analyst, Early Talent

Quick Facts

• Role: AI Product Associate Analyst (Early Talent)

• Focus: AI agent enablement and product requirements within an Agile delivery lifecycle

• Location options: Chicago or Indianapolis

Description

You will help design solutions for AI agents by gathering business needs from end-users and translating them into functional specifications, user stories, and clear acceptance criteria. You’ll partner with engineers and AI product managers, document requirements needed to build agent solutions, and support UAT with test scenarios and feedback/defect logging. The role also involves learning AI-native tools and core product management fundamentals.

Responsibilities

• Analyze data and participate in discovery sessions to gather business needs and requirements for AI-powered workflows

• Write functional specifications and user stories for new agentic capabilities

• Define acceptance criteria for user stories, including trigger conditions, response formats, and escalation logic

• Document and communicate what engineers need to design agent solutions

• Work directly with engineers and AI product managers as business requirements evolve

• Support UAT by drafting test scenarios, logging feedback/defects, and helping coordinate testing

• Apply Agile and iterative methods during the Agentic Delivery Lifecycle (ADLC)

• Collaborate cross-functionally with professional services teams and global vendors/systems integrators

• Use and learn AI-native tools (e.g., Agentforce, Cursor, Claude Code, Slackbot) and product fundamentals (e.g., product vision, user stories, total cost of ownership)

Requirements

• 0–2 years of related experience

• Excellent written and verbal communication

• Strong listening skills and ability to ask questions to understand end-user needs

• Attention to detail

• Diligent follow-through to complete tasks

• Self-starter who can shift quickly with changing priorities

• Ability to work with virtual/global cross-functional teams

• Curiosity about AI/LLM fundamentals (RAG, prompt engineering)

• Willingness to learn, receive guidance, and follow team best practices

• Bachelor’s degree preferred (business/management information systems/finance); computer science or technical/related disciplines welcome (recent or upcoming graduate)

Benefits

• Time off programs

• Medical, dental, vision

• Mental health support

• Paid parental leave

• Life and disability insurance

• 401(k)

• Employee stock purchasing program

• AI agents to accelerate your impact

Compensation (US)

Typical base salary range: $69,200 – $76,230 annually (base salary only; may exclude bonus/incentive, equity, and benefits as applicable).