AI Product Associate Analyst, Early Talent
Salesforce is hiring an AI Product Associate Analyst, Early Talent in Chicago, United States. It pays $69k-$76k a year and Level rates it ; you can apply on Salesforce.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions ChatGPT, OpenAI and Claude among its tools and skills.
- Level classes it as a junior role.
- Salesforce has 1,500+ other open roles on Level.
- Posted in the last few days.
AI in this role
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Job Category
FinanceJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
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).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $69,200 - $76,230 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.How we rate this
AI Product Associate Analyst, Early Talent at Salesforce rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What's a project where you used ChatGPT hands-on?
- Walk me through how you've used OpenAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, ChatGPT, and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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