STEM OPT Senior AI Product Designer Jobs

Senior AI Product Designer roles sit at the intersection of machine learning systems and user experience, making them a strong fit for STEM OPT graduates in computer science, human-computer interaction, or related fields. Your 24-month STEM OPT extension applies here, and every employer must be enrolled in E-Verify before your training plan can begin.

Find STEM OPT Senior AI Product Designer Jobs

Overview

Open Jobs313+
Work Type79% On-site
Top LocationSan Francisco, CA
Most JobsApple

Showing 5 of 313+ Senior AI Product Designer jobs

Massachusetts Bay Transportation Authority
User Experience (UX) Designer
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Massachusetts Bay Transportation Authority
New 15h ago
User Experience (UX) Designer
Massachusetts Bay Transportation Authority
Boston, Massachusetts
Creative & Design
Product Management
Customer Success
UI/UX Design
$125k - $140k/yr
On-Site
Bachelor's
5,001-10,000

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TikTok USDS Joint Venture
UX Researcher
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TikTok USDS Joint Venture
Added 1w ago
UX Researcher
TikTok USDS Joint Venture
Los Angeles, California
Data Science & Analytics
Customer Success
Product Management
Data Science
$120k - $212k/yr
On-Site
Bachelor's

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iManage
UX Researcher
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iManage
Added 1w ago
UX Researcher
iManage
Chicago, Illinois
Product Management
Customer Success
$85k - $125k/yr
Hybrid
Bachelor's
501-1,000

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Hewlett Packard Enterprise | HPE
Software UI Engineer II
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Hewlett Packard Enterprise | HPE
Added 1w ago
Software UI Engineer II
Hewlett Packard Enterprise | HPE
San Juan, PR
Software Engineering
Creative & Design
Frontend Engineering
UI/UX Design
Hybrid
Bachelor's
10,000+

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TikTok
UX Researcher
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TikTok
Added 2w ago
UX Researcher
TikTok
Seattle, Washington
Data Science & Analytics
Data Science
$80k - $122k/yr
On-Site
Bachelor's

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See all 313+ STEM OPT Senior AI Product Designer Jobs

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Tips for Finding STEM OPT Authorization as a Senior AI Product Designer

Verify your CIP code covers this role

Check that your degree's Classification of Instructional Programs code maps to a STEM-designated field recognized by ICE. Human-computer interaction, computer science, and information systems codes commonly support AI Product Designer positions, but your DSO confirms the exact match.

Confirm E-Verify enrollment before accepting offers

Ask hiring managers directly whether the company is enrolled in E-Verify before you move past the offer stage. An employer that isn't enrolled cannot legally employ you on STEM OPT, no matter how eager they are to hire.

Build a portfolio that connects AI to measurable outcomes

Senior AI Product Designer roles require demonstrating that you've shipped AI-powered features, not just designed them. Document model integration decisions, user research on AI interactions, and measurable impact to stand out in technical screening rounds.

Use Migrate Mate to filter for STEM OPT employers

Search Migrate Mate for Senior AI Product Designer roles filtered to E-Verify-enrolled employers. This removes companies that can't support your authorization before you invest time in their interview process.

Negotiate your I-983 training plan scope early

The I-983 requires a formal learning objective tied to your STEM degree. In AI Product Designer roles, frame your plan around applied machine learning product development so the connection to your degree is explicit and survives a USCIS audit.

Time your extension filing against your OPT end date

USCIS recommends filing your STEM OPT extension application at least 90 days before your initial OPT expires. For Senior AI Designer searches that run long, a late filing puts your authorization at risk during active offer negotiations.

Frequently Asked Questions

Does a Senior AI Product Designer role qualify for the STEM OPT extension?

It can, but the qualifying factor is your degree, not the job title. Your degree must carry a STEM-designated CIP code, and the role must provide practical training directly related to that field. AI Product Designer positions grounded in computer science, HCI, or information systems commonly satisfy this connection, but your DSO makes the final determination based on your specific degree and I-983 training plan.

What goes into the I-983 training plan for an AI Product Designer position?

Your I-983 must describe specific learning goals tied to your STEM degree, the supervision structure, and how the work advances your field of study. For AI Product Designer roles, this typically means documenting responsibilities like designing AI interaction models, conducting user research on machine learning outputs, and collaborating with engineering on model integration. Both you and your employer sign the form, and your DSO must authorize it before the extension begins.

How do I confirm that a company is enrolled in E-Verify before applying?

You can search the E-Verify employer search tool directly through the E-Verify program's public database. Searching by company name shows current enrollment status. For companies not appearing there, ask the recruiter or HR contact directly during early conversations. Companies that can't confirm enrollment aren't able to support your STEM OPT training legally, so verifying this before you invest interview time protects your job search timeline.

Does cap-gap protection apply if I'm on STEM OPT and selected in the H-1B lottery?

Yes. If you're on STEM OPT when your employer files an H-1B visa petition on your behalf and you're selected in the lottery, cap-gap extends your OPT work authorization automatically through September 30 of that year. Your EAD remains valid during this period without any additional filing on your part, as long as your H-1B petition was timely filed and your OPT was still valid at the time of filing.

Where can I find Senior AI Product Designer jobs with employers that support STEM OPT?

Migrate Mate lists Senior AI Product Designer roles filtered to companies enrolled in E-Verify, which is the baseline requirement for any STEM OPT employer. Searching there lets you skip companies that can't legally support your authorization and focus on employers already set up to hire STEM OPT students, which matters especially in competitive AI design roles where interview cycles run long.