OPT AI Product Engineer Jobs
AI Product Engineer roles sit at the intersection of machine learning and product development, making them a strong fit for F-1 OPT students with STEM degrees in computer science, data science, or AI. Most roles qualify for the 24-month STEM OPT extension, giving you up to three years of authorized work experience.
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INTRODUCTION
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
ABOUT FUTUREFORCE UNIVERSITY RECRUITING
Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.
JOB CATEGORY
Finance
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).
COMPENSATION
- 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.
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.
See all 244+ OPT AI Product Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Product Engineer
Lead with your STEM OPT eligibility
AI Product Engineer roles almost universally qualify for the 24-month STEM OPT extension. Mentioning your eligibility upfront removes the employer's biggest concern and signals you've done the homework on your own authorization status.
Target companies with active H-1B sponsorship history
Companies that have sponsored H-1B visas before are significantly more likely to support OPT employees through the transition. Focus your applications on employers with a documented pattern of sponsoring technical roles in machine learning or product engineering.
Position your AI skills around business outcomes
Hiring managers for product-facing AI roles care about shipped features and measurable impact, not just model accuracy. Frame your experience around what you built, who used it, and what improved. This shifts the conversation from authorization to value.
Apply early in your OPT window
Many employers hesitate when OPT expiration is close. Applying within the first six months of your initial OPT period gives companies confidence they'll have time to evaluate you and begin H-1B planning well before your authorization runs out.
Build a portfolio of deployed AI work
Demonstrated product thinking sets AI Product Engineers apart from pure researchers. Showcase projects where you integrated a model into a real application, handled edge cases, and iterated based on user feedback. GitHub and personal projects both count.
Be direct about your timeline in interviews
Proactively explaining your OPT timeline, STEM extension eligibility, and H-1B lottery calendar builds trust rather than creating uncertainty. Employers appreciate candidates who understand the process and can plan around it without requiring hand-holding.
AI Product Engineer OPT: Frequently Asked Questions
Do AI Product Engineer jobs qualify for the 24-month STEM OPT extension?
Most do, provided your degree is in a STEM-designated field such as computer science, electrical engineering, data science, or a related discipline. The role itself must also be directly related to your field of study. AI Product Engineer positions typically satisfy this requirement given their foundation in applied machine learning and software systems, but your DSO must confirm eligibility based on your specific degree and CIP code.
How do I find AI Product Engineer employers who are open to OPT candidates?
Migrate Mate is built specifically for F-1 OPT students and surfaces AI Product Engineer roles at companies that have demonstrated willingness to sponsor or support international candidates. Filtering by OPT-friendly employers saves time compared to applying broadly and hitting walls mid-process. Prioritize companies with an existing H-1B sponsorship track record in technical roles, since that signals a clear pathway beyond your initial authorization period.
What happens to my OPT if I'm laid off from an AI Product Engineer role?
You have a 60-day grace period from the date your employment ends to find a new OPT-authorized position, transfer to a different visa status, or depart the U.S. During this window, you cannot work. If you secure a new role within 60 days, your DSO updates your SEVIS record with the new employer. Staying unemployed beyond 60 days puts you out of status, so it's critical to act quickly.
Can I work as a contractor or freelancer as an AI Product Engineer on OPT?
Yes, OPT permits self-employment and independent contracting as long as the work is directly related to your degree field and you can document it properly. For an AI Product Engineer, this typically means contract projects involving model development, AI integration, or product feature work. You must log hours in your SEVIS record and ensure each engagement is clearly tied to your field of study to remain compliant.
Does having a master's degree versus a bachelor's degree affect my OPT options for this role?
Your OPT period is the same regardless of degree level: 12 months of initial OPT plus a potential 24-month STEM extension if you qualify. However, a master's degree in a STEM field does improve your H-1B lottery odds, since master's graduates from U.S. institutions are entered into both the regular cap and the advanced degree exemption pool. For AI Product Engineer roles specifically, a master's also tends to open doors to more senior product and research-adjacent positions.