AI Product Associate Analyst, Early Talent

Salesforce•Indianapolis, IN

3d•$69,200 - $76,230

About The Position

The AI Product Associate Analyst supports a technology organization serving professional services as it takes end-to-end ownership of tools, from selection and rollout through adoption and retirement. The team focuses on tool adoption, operational systems, targeted enablement, and emerging industry tools and partners, collaborating across globally distributed teams and vendors. The role helps design solutions for AI agents and enables employees to use Salesforce's agentic products. As part of Agile teams, the analyst gathers end-user requirements and works with engineers and AI Product Managers to deliver agent features that address user needs. The position offers exposure to product management fundamentals and AI-native tools as part of day-to-day work.

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 when priorities change.
Willingness to receive direction and guidance, adopt and develop team 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/LLM fundamentals, including RAG and prompt engineering; professional experience is not required.
0–2 years of related experience.

Nice To Haves

Solid understanding of the Agentic Delivery Lifecycle, 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 and other technical or related disciplines are also welcome. Recent or upcoming graduates are welcome.

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 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 as business requirements evolve to identify suitable solutions.
Support user acceptance testing by drafting test scenarios, logging feedback and defects, and helping coordinate 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 across regions.
Learn and use AI-native tools such as Agentforce, Cursor, Claude Code, and Slackbot, and learn product management fundamentals.