H-1B Visa Technical Product Owner Jobs
Technical Product Owner roles sit at the intersection of business strategy and engineering, which makes them strong candidates for H-1B visa specialty occupation classification. Employers filing LCAs for this role typically use SOC codes tied to computer occupations, and the 85,000-slot annual cap means timing your job search around the April 1 filing window matters.
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The Senior Technical Product Owner – AI Native is responsible for defining, prioritizing, and validating AI-enabled products and solutions that align with business objectives, customer needs, and company strategy. This role combines strong technical understanding with product ownership expertise to translate business needs into clear requirements, feature briefs, story specifications, and prioritized backlogs. Working closely with engineering, data science, business stakeholders, and customers, this role provides product intent, grounding context, and acceptance boundaries that guide both human and AI-assisted development. The role also performs high-fidelity epic and requirements validation to reduce ambiguity, minimize rework, and support faster, higher-quality delivery. The Senior Technical Product Owner – AI Native ensures teams build the right capabilities, at the right scope and time, while coaching Technical Product Owners, Business Analysts, and other product practitioners on product definition, backlog management, and validation practices. The role does not require deep AI or ML specialization but does require an understanding of how AI-enabled development changes delivery speed, iteration cycles, and product discovery.
Responsibilities:
Product Ownership and Prioritization
- Author Feature Briefs and shape upcoming features in partnership with the Product Owner and Tech Lead.
- Co-author Story Specs with the Tech Lead and ensure stories are ready for fast, iterative delivery.
- Own one or more Product or Team Key Results and make day-to-day scope and sequencing decisions to minimize delivery friction and rework.
- Coach Technical Product Owners and establish AI-native product ownership standards, practices, and delivery frameworks across the organization.
- Lead resolution of complex product(s), delivery, and business risks that extend beyond a single team.
- Drive continuous improvement in product definition practices to improve product quality, predictability, outcome realization, and the effectiveness of AI-assisted engineering workflows.
Requirements & Solution Definition
- Conduct interviews and requirements workshops with business and technical stakeholders to elicit, clarify, and validate business needs.
- Translate business needs into clear, well-structured, testable requirements that account for architectural, regulatory, operational, and business constraints.
- Coordinate dependencies and requirement priorities across multiple teams and stakeholder groups to support solution clarity and delivery readiness.
- Maintain precise documentation that enables efficient, accurate implementation and minimizes downstream ambiguity.
Product Intent & Grounding Context
- Establish and evolve standards for product intent, grounding context, and high-fidelity validation across AI-native delivery teams.
- Define clear product intent by articulating the problem being solved, desired outcomes, constraints, and acceptance boundaries.
- Provide grounding context for engineers and AI-assisted workflows, including domain assumptions, user behaviors, system invariants, and relevant business or technical constraints.
- Keep intent and context current as requirements evolve and serve as the primary source of truth for what success looks like at the epic, feature, and story level.
Validation and Outcome Alignment
- Perform high-fidelity validation of epics before decomposition, ensuring they are precise, well-scoped, actionable, testable, grounded in product intent, aligned with architectural constraints, and free of unresolved assumptions or gaps that could create downstream rework.
- Clarify requirements during delivery, validate work against product intent, and accept increments as they emerge as AI-assisted workflows iterate rapidly (in-flight validation).
- Ensure delivered functionality is usable, extensible, and aligned with domain constraints, system boundaries, and quality expectations (outcome-level quality assessment) rather than ceremony milestones.
- Evaluate opportunities to accelerate discovery, validation, and delivery through AI-enabled product management practices and influence the outcome.
Stakeholder Communication
- Communicate progress, scope tradeoffs, risks, and delivery outcomes to stakeholders.
- Act as the primary product point of contact for one or more AI-Native teams, ensuring alignment between business intent and engineering execution.
- Detect gaps between intended and actual outcomes early and drive corrective action before scale or automation amplifies defects.
-
Identify risks and drive resolution of issues impacting delivery or quality.
-
Complete all responsibilities as outlined in the annual performance review and/or goal setting.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
QUALIFICATIONS
Requirements
- Bachelor's degree in computer science, information technology, or a relevant field preferred.
- 10+ years’ experience in product ownership, product management, or business analysis roles within Agile delivery environments.
- Experience with cloud-based AI platforms e.g. (AWS, Azure, GCP).
- Prior success in launching AI driven products or features.
- Knowledge of data privacy, security, and compliance in the context of AI.
- Strong experience translating business problems into clear, testable products and technical requirements.
- Excellent written and verbal communication skills.
- Proven analytical and problem-solving skills, with experience in systems modeling, workflow analysis, or solution design.
- Ability to learn complex domains quickly; healthcare experience preferred.
- Experience with systems modeling, user interface design, and prototyping, decision trees, data flow.
- A wide degree of creativity and latitude is expected.
Cognitive / Mental Requirements
- Problem-solving and critical thinking — navigating competing priorities, capacity constraints, staffing questions, dependencies, and unexpected issues.
- Judgment and decision-making — determining how Design resources should be allocated and making timely decisions when there isn’t a clear answer.
- Planning and prioritization — managing multiple concurrent workstreams and determining what needs attention when.
- Information synthesis — taking in information from multiple sources and perspectives and forming a clear understanding of priorities, risks, and needs.
- Pattern recognition — identifying trends in workload, capacity, team capability, and organizational needs.
- Adaptability and learning — quickly learning new tools, technologies, and ways of working and applying them to changing circumstances.
- Communication and collaboration — processing and communicating information effectively with people across Design, Product, Engineering, and leadership.
- Coaching and interpersonal judgment — understanding individual strengths, development needs, and team dynamics and responding appropriately.
Physical Requirements and Working Conditions
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Communicating with others to exchange information.
- Repeating motions that may include the wrists, hands and/or fingers.
- Assessing the accuracy, neatness and thoroughness of the work assigned.
- No adverse environmental conditions expected.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
COMPENSATION
- Base compensation ranges from $135,000 to $148,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for a discretionary bonus.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 11/10/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 2/10/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-LL1
remote
senior
Overview:
The Senior Technical Product Owner – AI Native is responsible for defining, prioritizing, and validating AI-enabled products and solutions that align with business objectives, customer needs, and company strategy. This role combines strong technical understanding with product ownership expertise to translate business needs into clear requirements, feature briefs, story specifications, and prioritized backlogs. Working closely with engineering, data science, business stakeholders, and customers, this role provides product intent, grounding context, and acceptance boundaries that guide both human and AI-assisted development. The role also performs high-fidelity epic and requirements validation to reduce ambiguity, minimize rework, and support faster, higher-quality delivery. The Senior Technical Product Owner – AI Native ensures teams build the right capabilities, at the right scope and time, while coaching Technical Product Owners, Business Analysts, and other product practitioners on product definition, backlog management, and validation practices. The role does not require deep AI or ML specialization but does require an understanding of how AI-enabled development changes delivery speed, iteration cycles, and product discovery.
Responsibilities:
Product Ownership and Prioritization
- Author Feature Briefs and shape upcoming features in partnership with the Product Owner and Tech Lead.
- Co-author Story Specs with the Tech Lead and ensure stories are ready for fast, iterative delivery.
- Own one or more Product or Team Key Results and make day-to-day scope and sequencing decisions to minimize delivery friction and rework.
- Coach Technical Product Owners and establish AI-native product ownership standards, practices, and delivery frameworks across the organization.
- Lead resolution of complex product(s), delivery, and business risks that extend beyond a single team.
- Drive continuous improvement in product definition practices to improve product quality, predictability, outcome realization, and the effectiveness of AI-assisted engineering workflows.
Requirements & Solution Definition
- Conduct interviews and requirements workshops with business and technical stakeholders to elicit, clarify, and validate business needs.
- Translate business needs into clear, well-structured, testable requirements that account for architectural, regulatory, operational, and business constraints.
- Coordinate dependencies and requirement priorities across multiple teams and stakeholder groups to support solution clarity and delivery readiness.
- Maintain precise documentation that enables efficient, accurate implementation and minimizes downstream ambiguity.
Product Intent & Grounding Context
- Establish and evolve standards for product intent, grounding context, and high-fidelity validation across AI-native delivery teams.
- Define clear product intent by articulating the problem being solved, desired outcomes, constraints, and acceptance boundaries.
- Provide grounding context for engineers and AI-assisted workflows, including domain assumptions, user behaviors, system invariants, and relevant business or technical constraints.
- Keep intent and context current as requirements evolve and serve as the primary source of truth for what success looks like at the epic, feature, and story level.
Validation and Outcome Alignment
- Perform high-fidelity validation of epics before decomposition, ensuring they are precise, well-scoped, actionable, testable, grounded in product intent, aligned with architectural constraints, and free of unresolved assumptions or gaps that could create downstream rework.
- Clarify requirements during delivery, validate work against product intent, and accept increments as they emerge as AI-assisted workflows iterate rapidly (in-flight validation).
- Ensure delivered functionality is usable, extensible, and aligned with domain constraints, system boundaries, and quality expectations (outcome-level quality assessment) rather than ceremony milestones.
- Evaluate opportunities to accelerate discovery, validation, and delivery through AI-enabled product management practices and influence the outcome.
Stakeholder Communication
- Communicate progress, scope tradeoffs, risks, and delivery outcomes to stakeholders.
- Act as the primary product point of contact for one or more AI-Native teams, ensuring alignment between business intent and engineering execution.
- Detect gaps between intended and actual outcomes early and drive corrective action before scale or automation amplifies defects.
-
Identify risks and drive resolution of issues impacting delivery or quality.
-
Complete all responsibilities as outlined in the annual performance review and/or goal setting.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
QUALIFICATIONS
Requirements
- Bachelor's degree in computer science, information technology, or a relevant field preferred.
- 10+ years’ experience in product ownership, product management, or business analysis roles within Agile delivery environments.
- Experience with cloud-based AI platforms e.g. (AWS, Azure, GCP).
- Prior success in launching AI driven products or features.
- Knowledge of data privacy, security, and compliance in the context of AI.
- Strong experience translating business problems into clear, testable products and technical requirements.
- Excellent written and verbal communication skills.
- Proven analytical and problem-solving skills, with experience in systems modeling, workflow analysis, or solution design.
- Ability to learn complex domains quickly; healthcare experience preferred.
- Experience with systems modeling, user interface design, and prototyping, decision trees, data flow.
- A wide degree of creativity and latitude is expected.
Cognitive / Mental Requirements
- Problem-solving and critical thinking — navigating competing priorities, capacity constraints, staffing questions, dependencies, and unexpected issues.
- Judgment and decision-making — determining how Design resources should be allocated and making timely decisions when there isn’t a clear answer.
- Planning and prioritization — managing multiple concurrent workstreams and determining what needs attention when.
- Information synthesis — taking in information from multiple sources and perspectives and forming a clear understanding of priorities, risks, and needs.
- Pattern recognition — identifying trends in workload, capacity, team capability, and organizational needs.
- Adaptability and learning — quickly learning new tools, technologies, and ways of working and applying them to changing circumstances.
- Communication and collaboration — processing and communicating information effectively with people across Design, Product, Engineering, and leadership.
- Coaching and interpersonal judgment — understanding individual strengths, development needs, and team dynamics and responding appropriately.
Physical Requirements and Working Conditions
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Communicating with others to exchange information.
- Repeating motions that may include the wrists, hands and/or fingers.
- Assessing the accuracy, neatness and thoroughness of the work assigned.
- No adverse environmental conditions expected.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
COMPENSATION
- Base compensation ranges from $135,000 to $148,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for a discretionary bonus.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 11/10/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 2/10/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-LL1
remote
senior
See all 2,986+ H-1B Visa Technical Product Owner Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Technical Product Owner Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Technical Product Owner
Map your role to the right SOC code
Technical Product Owner positions are most often classified under computer and information systems SOC codes. Confirm which code your target employers use before applying so your degree and experience align with what the LCA will certify.
Verify your degree field supports specialty occupation
USCIS requires a direct connection between your degree field and the Technical Product Owner role. A computer science or engineering degree maps cleanly, but business degrees need supporting coursework or experience to satisfy the specialty occupation requirement.
Target employers with active LCA filing history
Use Migrate Mate to filter Technical Product Owner roles by employers who have filed H-1B LCAs for this occupation code, so you're only spending time on companies with a proven willingness to sponsor rather than guessing from job descriptions.
Ask about cap-exempt status during screening
Universities, nonprofits affiliated with higher education, and certain research institutions are cap-exempt, meaning your petition can be filed year-round without entering the lottery. Many Technical Product Owner roles exist at these organizations and are routinely overlooked by candidates fixated on big tech.
Request premium processing before your 60-day grace period shrinks
If you're changing employers after a layoff, the 60-day grace period is tight. Ask your new employer to file with premium processing so USCIS adjudicates within 15 business days and you have a decision before your grace period expires.
Cross-reference your prevailing wage level before accepting an offer
Look up the DOL prevailing wage for your specific metro area and experience level using OFLC Wage Search before your offer letter is drafted. Level I and Level II wages differ substantially, and the LCA must certify the offered salary meets the applicable threshold.
H-1B Visa Technical Product Owner: Frequently Asked Questions
Does a Technical Product Owner role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates specialty occupation based on whether the role normally requires a bachelor's degree or higher in a specific field. Technical Product Owner positions that involve software development lifecycle oversight, system architecture decisions, or cross-functional engineering leadership typically satisfy this standard when paired with a computer science, engineering, or related degree.
Which employers typically sponsor H-1B visas for Technical Product Owner roles?
Technology companies, financial services firms, healthcare systems, and enterprise software vendors are the most consistent H-1B sponsors for this role. Cap-exempt employers like research universities and affiliated nonprofits also hire Technical Product Owners and can file petitions outside the lottery window. Migrate Mate lets you browse open roles filtered by employers with verified LCA filing history for this occupation.
How does the H-1B lottery affect my timeline for starting a Technical Product Owner role?
If your target employer is cap-subject, your petition must be registered in March and, if selected, filed by June 30 for an October 1 start date. That means a job offer needs to be in place by late February or early March at the latest. Missing the registration window means waiting a full year for the next cycle unless the employer is cap-exempt.
Can I transfer my H-1B to a new employer if my Technical Product Owner role is eliminated?
Yes. H-1B portability under AC21 lets you transfer to a new employer once your petition has been pending for 180 days or is already approved. Your new employer files an H-1B transfer petition, and you can start working as soon as USCIS receives it. The 60-day grace period from your termination date gives you a window to secure the next offer.
What documentation should I prepare to support an H-1B petition for a Technical Product Owner position?
You'll need educational transcripts and degree certificates showing a field directly related to the role, a detailed job description from your employer that establishes specialty occupation, and evidence of any prior relevant experience. If your degree is from outside the U.S., a credential evaluation is typically required. Your employer's attorney will use these materials to build the LCA and I-129 petition.