
AI Product Associate Analyst, Early Talent
Indianapolis, INJobPosted 3 days agoStill listed 1 day ago
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Job overview
The AI Product Associate Analyst supports Agile teams developing AI agent features for employee workflows. The role gathers user requirements, helps create specifications and user stories, and supports acceptance criteria and user acceptance testing. It works with engineers, AI Product Managers, professional services teams, and global partners, while learning product management fundamentals and using AI-native tools.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description TITLE: AI Product Associate Analyst
Location Options: Chicago, Indianapolis
The Experience The team sits within a broader technology organization supporting professional services, and is evolving to own tools end-to-end — from selection and rollout through ongoing adoption and eventual retirement. Enablement is shifting from broad, one-size-fits-all training toward targeted support for specific tool use cases. The org is focused on tool adoption, operational systems, and staying ahead of emerging industry tools and partners. Overall, the team acts as an internal standards and systems group for professional services, working across a globally distributed set of teams and partners.
Our ideal candidate is interested in designing solutions for our AI agents and helping employees use Salesforce's agentic products in innovative new ways to do their best work. Product Analysts play an important role in Agile teams by gathering requirements from end-users and communicating with engineers and AI Product Managers to deliver the right agent features to meet these user needs.
What You'll Actually Be Doing
- Analyze data, sit in on discovery sessions, and participate in meetings to help gather business needs and requirements for AI-powered workflows.
- Help write functional specifications and User Stories for new agentic capabilities based on users' needs.
- Write Acceptance Criteria for User Stories, learning to define trigger conditions, response formats, and escalation logic.
- Clearly document and communicate information engineers need to design agent solutions.
- Keep pace with evolving business requirements and be willing to work directly with engineers and AI Product Managers on the best possible solution.
- Support UAT — 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 cross-functionally across professional services teams and with global vendors and systems integrators (e.g. PwC, Deloitte) spanning regions such as Australia, Hyderabad, Dublin, London, Germany, and Israel.
- Pick up AI-native tools (Agentforce, Cursor, Claude Code, Slackbot) as part of daily work, and learn core product management fundamentals (product vision, product-market fit, total cost of ownership, press-release/FAQ docs, user stories).
You're Our Person If...
- Excellent spoken and written communication skills.
- Receptive listening skills, willing to ask questions to fully understand what end-users need and why.
- A keen attention to detail.
- Able to follow up diligently to get tasks completed.
- A self-starter, highly motivated, and able to shift directions quickly when priorities change.
- Willing to receive direction and guidance within a team environment, adopt and develop best practices, and overcome obstacles with creative technical solutions.
- Excellent team player able to work with virtual and global cross-functional teams.
- Curiosity about AI/LLM fundamentals (RAG, prompt engineering) — no professional experience required.
- 0-2 years of related experience.
Even Better If...
- A solid understanding of the Agentic Delivery Lifecycle (ADLC) covering business process analysis, requirements and design, data modeling, detailed functional design, test planning, and UAT execution.
- Exposure to Salesforce platform, Data Cloud, or CRM concepts.
- Any hands-on experience with AI prototyping tools (Cursor, ChatGPT, Claude, etc.).
- Certifications in Python, Anthropic, OpenAI, Google AI, or product ownership are a plus.
- Bachelor's degree in business, management information systems, or finance preferred; computer science or other technical/related disciplines also welcome (recent or upcoming graduate).
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
How this job compares
Set against the 467 open Product Analyst jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This postingNot listed
- US median$94–173K/yr339 salary ranges
- US median$28–59/hr37 hourly ranges
- Openings
- Olive Jobs lists 467 open Product Analyst jobs across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- CVS Health65 open
- Wolters Kluwer49 open
- The Hartford29 open
- Experience
- This posting asks for no prior experience — less than three in four Product Analyst postings that state a minimum ask for (median 5 years, across 403 postings).
- Education
- 121 of the 467 open Product Analyst jobs (26%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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