AI Product Associate Analyst, Early Talent

Salesforce•Chicago, IL

About The Position

The AI Product Associate Analyst supports product work for AI-powered workflows and agent capabilities within a technology organization serving professional services. The team manages tools across their lifecycle, from selection and rollout to adoption and retirement, and provides targeted support for specific use cases. It works across globally distributed teams and partners to support tool adoption, operational systems, and emerging technologies. In an Agile team, the analyst gathers and documents end-user needs, communicates with engineers and AI Product Managers, and helps deliver agent features that address those needs. The role includes analyzing data, participating in discovery, writing functional specifications and user stories, defining acceptance criteria, documenting requirements, and supporting user acceptance testing. The analyst also collaborates across professional services teams and global vendors and systems integrators, and learns product management fundamentals and AI-native tools.

Requirements

Excellent spoken and written communication skills.
Receptive listening skills and willingness to ask questions to understand end-user needs.
Keen attention to detail.
Ability to follow up diligently to complete tasks.
Self-starter who is highly motivated and can shift direction quickly when priorities change.
Willingness to receive guidance, adopt and develop best practices, and overcome obstacles with creative technical solutions.
Ability to work as a team player with virtual and global cross-functional teams.
Curiosity about AI and LLM fundamentals, including RAG and prompt engineering; professional experience is not required.
0–2 years of related experience.

Nice To Haves

Understanding of the Agentic Delivery Lifecycle (ADLC), including business process analysis, requirements and design, data modeling, detailed functional design, test planning, and UAT execution.
Exposure to the Salesforce platform, Data Cloud, or CRM concepts.
Hands-on experience with AI prototyping tools such as Cursor, ChatGPT, or Claude.
Certifications in Python, Anthropic, OpenAI, Google AI, or product ownership.
Bachelor's degree in business, management information systems, or finance; computer science or another technical or related discipline is also welcome. Recent or upcoming graduates are considered.

Responsibilities

Analyze data and participate in discovery sessions and meetings to gather business needs and requirements for AI-powered workflows.
Help write functional specifications and user stories for new agentic capabilities based on user needs.
Write acceptance criteria for user stories, including trigger conditions, response formats, and escalation logic.
Document and communicate information engineers need to design agent solutions.
Work with engineers and AI Product Managers to develop solutions as business requirements evolve.
Support user acceptance testing by drafting test scenarios, logging feedback and defects, and coordinating testing sessions.
Use Agile and iterative methodologies during the Agentic Delivery Lifecycle (ADLC).
Coordinate and collaborate across professional services teams and with global vendors and systems integrators.
Learn and use AI-native tools such as Agentforce, Cursor, Claude Code, and Slackbot.