STEM OPT AI Product Engineer Jobs
AI Product Engineer roles sit squarely in STEM-designated fields, making them strong candidates for the 24-month STEM OPT extension beyond your initial 12 months. Your employer must be enrolled in E-Verify, and your degree in computer science, engineering, or a related STEM discipline must align with the role's CIP code to qualify.
Find STEM OPT AI Product Engineer JobsOverview
Showing 5 of 287+ AI Product Engineer jobs
See all 287+ AI Product Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer roles.
Get Access To All JobsThe Position
Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
Who We Are
Our Data, Digital and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Opportunity
As an AI & Digital Data Product Manager, you will drive execution from strategy through implementation for a designated portfolio of advanced AI/ML pipelines and digital data products. Reporting directly to the Director AI & Digital Data Products, you will own the full product lifecycle, spearhead digital transformation initiatives, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable AI and digital data solutions.
- Product Lifecycle Ownership: Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
- Agile Collaboration & Digital Transformation: Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
- Stakeholder Liaison: Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
- Data Standards & AI Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
- Architectural Guidance & Advanced Strategy: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
- Backlog Management: Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
- Performance Monitoring: Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.
Who you are
- You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
- You have 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
- You demonstrate strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
- You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
- You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
Preferred
- Advanced degree such as an MBA or related graduate-level qualification.
- Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
- Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
- Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
- Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.
Location
- This role is based in South San Francisco and offers a hybrid schedule working 3 days per week on campus.
- No relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $125,200 - $232,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
The Position
Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
Who We Are
Our Data, Digital and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Opportunity
As an AI & Digital Data Product Manager, you will drive execution from strategy through implementation for a designated portfolio of advanced AI/ML pipelines and digital data products. Reporting directly to the Director AI & Digital Data Products, you will own the full product lifecycle, spearhead digital transformation initiatives, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable AI and digital data solutions.
- Product Lifecycle Ownership: Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
- Agile Collaboration & Digital Transformation: Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
- Stakeholder Liaison: Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
- Data Standards & AI Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
- Architectural Guidance & Advanced Strategy: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
- Backlog Management: Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
- Performance Monitoring: Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.
Who you are
- You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
- You have 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
- You demonstrate strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
- You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
- You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
Preferred
- Advanced degree such as an MBA or related graduate-level qualification.
- Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
- Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
- Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
- Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.
Location
- This role is based in South San Francisco and offers a hybrid schedule working 3 days per week on campus.
- No relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $125,200 - $232,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
See all 287+ STEM OPT AI Product Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Product Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Product Engineer
Verify your CIP code before applying
Your STEM degree's CIP code must align with the AI Product Engineer role to qualify for the 24-month extension. Cross-reference your program against the DHS STEM Designated Degree Program List before submitting any application to avoid surprises at the extension stage.
Confirm E-Verify enrollment before accepting offers
Ask your recruiter to confirm their E-Verify company ID number before you sign anything. An employer who isn't enrolled cannot legally employ you on STEM OPT, and onboarding won't fix that gap retroactively.
Use O*NET to frame your technical experience
AI Product Engineer roles map to specific SOC codes in O*NET. Pull the listed tasks and knowledge areas from your occupation profile and mirror that language in your resume and I-983 training plan to strengthen the practical training connection.
File your I-983 training plan before day one
Your I-983 must be signed by both you and your employer and submitted to your DSO before your STEM OPT extension start date. A gap in your training plan documentation can jeopardize your work authorization, not just your extension approval.
Target companies with active LCA filings in AI roles
Employers who have filed Labor Condition Applications for AI or machine learning engineers have already cleared the DOL wage certification process. Use Migrate Mate to filter for companies with verified LCA filing history in this space, so you're targeting roles where sponsorship infrastructure already exists.
Check prevailing wage tiers before negotiating
Look up the wage level for AI Product Engineer roles in your target metro using the OFLC Wage Search before any offer conversation. Employers filing an LCA must pay at least the prevailing wage, so knowing the floor helps you negotiate from an informed position.
Frequently Asked Questions
Does an AI Product Engineer role qualify for the STEM OPT extension?
It depends on two things: your degree's CIP code and the role's SOC code. AI Product Engineer positions typically map to computer science or engineering SOC codes that appear on the DHS STEM Designated Degree Program List. Your DSO confirms eligibility at the extension stage, so align your CIP code with the role before applying rather than after you've accepted an offer.
What E-Verify requirement applies to my STEM OPT employer?
Every employer who hires you on a STEM OPT extension must be enrolled in E-Verify at the specific worksite where you'll work. A company-wide enrollment doesn't automatically cover a subsidiary, a remote office, or a staffing arrangement. Ask your recruiter for the E-Verify company ID and verify enrollment status through the E-Verify employer search before your start date.
What should my I-983 training plan include for an AI Product Engineer role?
Your I-983 must describe concrete learning objectives tied to your STEM degree, not just your job duties. For an AI Product Engineer, that means documenting how the role builds skills in machine learning systems, product development methodologies, or data engineering, connecting each objective back to your academic training. Both you and your employer sign it, and your DSO must receive it before your extension begins.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your H-1B visa petition is filed before your STEM OPT expires and USCIS selects it in the lottery, cap-gap automatically extends your OPT work authorization through September 30 of that fiscal year. You can continue working as an AI Product Engineer without interruption, provided your employer remains E-Verify enrolled and your I-983 stays current through the cap-gap period.
Where can I find AI Product Engineer jobs where employers are already set up for STEM OPT?
Migrate Mate filters AI Product Engineer listings by employers with verified E-Verify enrollment and LCA filing history, so you're not spending weeks vetting companies that can't support your work authorization. Searching there surfaces roles where the employer has already navigated the DOL filing process for similar positions, which significantly shortens the path from offer to compliant employment.