H-1B Visa AI Product Owner Jobs
AI Product Owner roles sit at the intersection of machine learning systems and business strategy, making them strong candidates for H-1B visa specialty occupation classification. Employers filing LCAs for this title typically use SOC codes tied to computer occupations, and the role's degree requirement in computer science, data science, or a related technical field supports petition approval.
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Get Access To All JobsAs a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
This role is part of CrowdStrike's Core Tech, Go To Market IT Apps Team — a team of Architects, Engineers, QA, BSAs, and Product Owners delivering highly Reliable, Scalable, and Secure Infrastructure and Automation Services across GTM Applications to Accelerate Business Velocity and Operational Excellence. As part of the GTM AI Pod, every member is expected to embrace Agentic AI technologies, operate with an open-source AI engineering mindset, and actively contribute to building the next generation of intelligent GTM workflows.
As a GTM AI Product Owner, you will define and drive the product vision for agentic AI capabilities across CrowdStrike's GTM technology stack. You will partner with Engineering, Business, and AI stakeholders to translate complex GTM problems into actionable, AI-powered product roadmaps. You will own the backlog, prioritize ruthlessly, and ship outcomes — not just features.
What You'll Do:
- Own the AI product roadmap for GTM apps team, aligned with business OKRs and AI strategy.
- Identify AI opportunities in Lead-to-Cash and customer Success processes by driving Business workshops, ideation sessions and Executive meetings.
- Define, prioritize, and groom the backlog for agentic workflows (autonomous agents, AI Assisted Workflows and LLM Integrations) across Sales, Marketing, and Customer Success platforms.
- Translate business requirements into clear epics, user stories, and acceptance criteria for engineering.
- Make effective Build Vs Buy decisions on Agentic capabilities in complex applications environment.
- Partner with Business to Define and track AI-specific KPIs: model accuracy, agent task completion rate, hallucination rate, business ROI, data privacy compliance, fairness reviews, and responsible use policies.
- Design and champion prompt engineering standards and context-window optimization strategies across GTM features.
- Partner with Data and Analytics teams to ensure GTM data is AI-ready: clean, structured, and access-governed.
- Evangelize AI-first product thinking and drive AI adoption metrics across the GTM IT organization.
- Embrace Agentic AI and LLM-powered tooling as a core part of your practice.
- Stay current with rapidly evolving AI/ML technologies and apply them pragmatically to GTM systems.
- Champion automation-first thinking — if it can be agentic, make it agentic.
What You'll Need:
- Bachelor's degree in Business, Computer Science, Information Systems, or related field.
- 8+ years of product management experience, with at least 2 years in enterprise SaaS or GTM technology with focus on AI.
- Proven track record delivering AI or automation products end-to-end.
- Strong understanding of GTM business processes: Lead-to-Cash, CPQ, CRM, Marketing Automation.
- Hands-on familiarity with Agentic AI, LLMs, or AI workflow platforms.
- Working knowledge of RAG architecture, prompt engineering patterns, and LLM API capabilities (OpenAI, Anthropic, AWS Bedrock, SaaS Agents).
- Experience working in Agile/Scrum environments with cross-functional engineering teams.
- Comfort operating under uncertainty — AI features are probabilistic, not deterministic.
Bonus Points:
- Experience in Go to Market IT space.
- Experience with Amazon Bedrock, Salesforce Agentforce and GCP product features.
- Familiarity with MCP (Model Context Protocol) and agent interoperability standards.
- Prior experience in a high-growth SaaS or cybersecurity company.
Benefits of Working at CrowdStrike:
- Market leader in compensation and equity awards.
- Comprehensive physical and mental wellness programs.
- Competitive vacation and holidays for recharge.
- Paid parental and adoption leaves.
- Professional development opportunities for all employees regardless of level or role.
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
- Vibrant office culture with world class amenities.
- Great Place to Work Certified™ across the globe.
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions—including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs—on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
Right to Work
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $145,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
This role is part of CrowdStrike's Core Tech, Go To Market IT Apps Team — a team of Architects, Engineers, QA, BSAs, and Product Owners delivering highly Reliable, Scalable, and Secure Infrastructure and Automation Services across GTM Applications to Accelerate Business Velocity and Operational Excellence. As part of the GTM AI Pod, every member is expected to embrace Agentic AI technologies, operate with an open-source AI engineering mindset, and actively contribute to building the next generation of intelligent GTM workflows.
As a GTM AI Product Owner, you will define and drive the product vision for agentic AI capabilities across CrowdStrike's GTM technology stack. You will partner with Engineering, Business, and AI stakeholders to translate complex GTM problems into actionable, AI-powered product roadmaps. You will own the backlog, prioritize ruthlessly, and ship outcomes — not just features.
What You'll Do:
- Own the AI product roadmap for GTM apps team, aligned with business OKRs and AI strategy.
- Identify AI opportunities in Lead-to-Cash and customer Success processes by driving Business workshops, ideation sessions and Executive meetings.
- Define, prioritize, and groom the backlog for agentic workflows (autonomous agents, AI Assisted Workflows and LLM Integrations) across Sales, Marketing, and Customer Success platforms.
- Translate business requirements into clear epics, user stories, and acceptance criteria for engineering.
- Make effective Build Vs Buy decisions on Agentic capabilities in complex applications environment.
- Partner with Business to Define and track AI-specific KPIs: model accuracy, agent task completion rate, hallucination rate, business ROI, data privacy compliance, fairness reviews, and responsible use policies.
- Design and champion prompt engineering standards and context-window optimization strategies across GTM features.
- Partner with Data and Analytics teams to ensure GTM data is AI-ready: clean, structured, and access-governed.
- Evangelize AI-first product thinking and drive AI adoption metrics across the GTM IT organization.
- Embrace Agentic AI and LLM-powered tooling as a core part of your practice.
- Stay current with rapidly evolving AI/ML technologies and apply them pragmatically to GTM systems.
- Champion automation-first thinking — if it can be agentic, make it agentic.
What You'll Need:
- Bachelor's degree in Business, Computer Science, Information Systems, or related field.
- 8+ years of product management experience, with at least 2 years in enterprise SaaS or GTM technology with focus on AI.
- Proven track record delivering AI or automation products end-to-end.
- Strong understanding of GTM business processes: Lead-to-Cash, CPQ, CRM, Marketing Automation.
- Hands-on familiarity with Agentic AI, LLMs, or AI workflow platforms.
- Working knowledge of RAG architecture, prompt engineering patterns, and LLM API capabilities (OpenAI, Anthropic, AWS Bedrock, SaaS Agents).
- Experience working in Agile/Scrum environments with cross-functional engineering teams.
- Comfort operating under uncertainty — AI features are probabilistic, not deterministic.
Bonus Points:
- Experience in Go to Market IT space.
- Experience with Amazon Bedrock, Salesforce Agentforce and GCP product features.
- Familiarity with MCP (Model Context Protocol) and agent interoperability standards.
- Prior experience in a high-growth SaaS or cybersecurity company.
Benefits of Working at CrowdStrike:
- Market leader in compensation and equity awards.
- Comprehensive physical and mental wellness programs.
- Competitive vacation and holidays for recharge.
- Paid parental and adoption leaves.
- Professional development opportunities for all employees regardless of level or role.
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.
- Vibrant office culture with world class amenities.
- Great Place to Work Certified™ across the globe.
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions—including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs—on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
Right to Work
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $145,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
See all 340+ H-1B Visa AI Product Owner Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Product Owner Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Product Owner
Map your role to the right SOC code
AI Product Owner petitions are filed under SOC codes for software developers or computer and information systems managers. Confirm which code your employer plans to use before the LCA is submitted, since it determines your prevailing wage level and affects petition defensibility.
Verify the specialty occupation connection
USCIS scrutinizes product roles for degree specificity. Pull the O*NET profile for your target SOC code and confirm it lists a bachelor's degree in a directly related field as a typical entry requirement, then document how your actual duties align.
Search LCA filings to target active sponsors
Use Migrate Mate to filter employers by H-1B LCA filing history for AI and product management occupations. This shows you which companies have already cleared DOL certification for similar roles, cutting your search time significantly.
Check prevailing wage before negotiating salary
Run the OFLC Wage Search for your job title and work location before your offer call. Your offered salary must meet the DOL prevailing wage for the specific SOC code and geographic area, and going in informed prevents last-minute petition complications.
Flag AI tool ownership in your job description
If your role involves owning a model pipeline or making architectural decisions about AI systems, ensure the written job description captures that. Vague product language weakens the specialty occupation argument; specific technical responsibilities strengthen the I-129 petition narrative.
Time your transfer around premium processing windows
If you're changing employers mid-status, your 60-day grace period starts when your current employment ends. Premium processing reduces USCIS adjudication to 15 business days, which matters when your start date and grace period deadline are close together.
H-1B Visa AI Product Owner: Frequently Asked Questions
Does an AI Product Owner role qualify as a specialty occupation for H-1B purposes?
Yes, if the job description requires a bachelor's degree or higher in a specific technical field such as computer science, data science, or engineering. Generic product management duties alone may not meet the bar. Roles that include hands-on AI system ownership, model evaluation, or technical roadmap decisions are more defensible because USCIS looks for a direct relationship between the required degree and the job's core duties.
Which SOC code do employers typically use when filing an H-1B for an AI Product Owner?
Most employers file under either 15-1252 (Software Developers) or 11-3021 (Computer and Information Systems Managers), depending on how technical the role is. The choice affects the DOL prevailing wage level and the O*NET profile used to support specialty occupation. Ask your employer's immigration counsel which code they plan to use before the LCA is submitted, since switching later delays certification.
How do I find employers who are actively sponsoring H-1B visas for AI Product Owner roles?
Migrate Mate lets you filter job listings by verified LCA filing history, so you can identify companies that have already obtained DOL certification for AI and product management titles. This is more reliable than assuming any company that posts an AI Product Owner role will sponsor, since LCA filings confirm actual H-1B intent rather than just hiring interest.
Can an AI Product Owner role be filed as cap-exempt?
Possibly, if your employer is a qualifying institution such as a university, a nonprofit affiliated with one, or a government research organization. Most AI product roles at tech companies and startups are cap-subject, meaning you'd need to go through the annual H-1B lottery. If you're already in H-1B status and changing employers, your new petition is also cap-exempt under portability rules established by AC21.
What documentation strengthens an H-1B petition for an AI Product Owner?
A detailed job description that ties specific duties to your degree field is the foundation. Supporting documents include your academic transcripts, any credentials in machine learning or product management, and a letter from the employer explaining why the role requires a technically specialized degree. If your degree field doesn't exactly match the job title, a credentials evaluation showing equivalency can fill the gap for USCIS adjudication purposes.