H-1B Visa Platform Manager Jobs
H-1B visa jobs for Platform Managers are concentrated at tech companies, SaaS platforms, and digital media firms that file Labor Condition Applications for product and operations roles. The position qualifies as a specialty occupation when it requires a bachelor's degree in computer science, information systems, or a related field, making it a viable H-1B target for experienced candidates.
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Get Access To All JobsAbout Autonomize AI
Autonomize AI is the healthcare industry's purpose-built AI platform for automating the complex administrative processes that consume clinicians, payers, and care teams: prior authorization, utilization management, care management, and claims processing. Backed by Valtruis, Cigna Group Ventures, Asset Management Ventures and top-tier VCs, we serve 3 of the top 5 U.S. health enterprises and are scaling aggressively.
We are not building another AI point solution. We are building the operating system for healthcare administration, a platform of AI agents, clinical workflows, and data fabric that replaces manual processes end to end. Context AI is the intelligence layer of that platform: one governed understanding of healthcare reference data and each customer's own policies, with the source behind every answer, that any agent or model can call.
Role Overview
This is a hands-on product role reporting to the VP of Product. You own Context AI: the Healthcare Context Graph, the enterprise extensions customers use to layer in their own terminology, policies, formularies and fee schedules, provenance and freshness, and the APIs, SDKs and MCP access that agents and developers build on. You also own customer discovery for the platform.
You are not a backlog manager. You spend real time with health plan and PBM data, analytics and AI teams, you find the decisions where shared context saves them time and money, and you turn that into a product engineers want to build and customers pay for.
Key Responsibilities
Customer Discovery
- Run a weekly discovery rhythm with payer and PBM data, analytics, architecture and AI leaders
- Find the costly decisions where teams each keep their own rules, mappings and retrieval, and rank the opportunities by customer and business value
- Bring field signal from Sales, pre-sales and forward deployed engineers into the roadmap every week
Context AI Product
- Own the Context AI roadmap: graph coverage across codes, crosswalks, coverage policy, payment rules and drug data, plus ontology editing, approvals, change history and source connections
- Run customer pilots with success criteria set up front, and turn what works into product
- Decide what we build next and what we stop doing
Platform and Developer Experience
- Define what our engineers, partners and customer builders need to build agents and apps on the platform: APIs, SDKs, MCP access, docs and onboarding
- Measure adoption and remove the friction that slows builders down
Execution
- Write clear PRDs, acceptance criteria and evals for data quality, retrieval accuracy and freshness
- Set the release rhythm with engineering and hold it
Go-To-Market
- Give Sales and Marketing the positioning, packaging inputs and proof points for Context AI
- Join technical customer conversations when a deal needs a product voice
What Success Looks Like After One Year
- Production adoption. Context AI running in production at multiple customers beyond pilot, on their own policies and terminology.
- Pilot conversion. Pilots that convert to paid, each with written success criteria.
- Platform pull. A growing number of our agents and customer-built agents calling Context AI by default.
- Discovery system. Every roadmap item traceable to a customer problem.
- Trusted data. Published accuracy and freshness metrics, with provenance on every answer.
Qualifications
Experience
- 5+ years in product management, with B2B data, AI or platform products shipped to enterprise customers
- A track record of customer discovery that changed what a team built
- Experience shipping APIs, SDKs or developer platforms that other teams build on
- Healthcare payer or PBM experience strongly preferred, especially with reference data such as code sets, coverage policy, formularies or fee schedules
AI and Technical Depth
- Working knowledge of knowledge graphs, ontologies, semantic layers, retrieval and how LLM agents use context
- Familiarity with MCP, REST APIs and data catalogs, and comfort writing SQL
- Familiarity with healthcare code sets and data standards such as ICD-10, CPT/HCPCS, NDC, FHIR and X12
The Right Mindset
- Driver, not a passenger. You pick up the problem and lead, without waiting to be asked.
- Embraces the mess. There is work in progress everywhere and less process than you would like. You move us from chaos to structure without slowing us down.
- Customer curiosity. You go to the customer first and come back with problems, not feature requests.
- Bias for action. Ships, measures and iterates. Makes decisions with imperfect information and owns the outcome.
- Simplifies and drives clarity. You make complicated infrastructure legible to a payer executive and an engineer alike.
- Honesty and humility. Transparent, low-ego, customer-leaned, truth-seeking.
What We Offer
- Competitive compensation and meaningful equity
- 100% employer-paid medical, dental, and vision insurance, plus 401(k), disability insurance, and employee assistance programs
- Direct work with experienced founders, engineering leaders and the largest health enterprises in the U.S.
- High ownership in one of the most consequential chapters of healthcare AI
Location
In person in Austin, TX.
How To Apply
Send your resume and a brief note to careers@autonomize.ai telling us about a customer insight that changed what you built.
About Autonomize AI
Autonomize AI is the healthcare industry's purpose-built AI platform for automating the complex administrative processes that consume clinicians, payers, and care teams: prior authorization, utilization management, care management, and claims processing. Backed by Valtruis, Cigna Group Ventures, Asset Management Ventures and top-tier VCs, we serve 3 of the top 5 U.S. health enterprises and are scaling aggressively.
We are not building another AI point solution. We are building the operating system for healthcare administration, a platform of AI agents, clinical workflows, and data fabric that replaces manual processes end to end. Context AI is the intelligence layer of that platform: one governed understanding of healthcare reference data and each customer's own policies, with the source behind every answer, that any agent or model can call.
Role Overview
This is a hands-on product role reporting to the VP of Product. You own Context AI: the Healthcare Context Graph, the enterprise extensions customers use to layer in their own terminology, policies, formularies and fee schedules, provenance and freshness, and the APIs, SDKs and MCP access that agents and developers build on. You also own customer discovery for the platform.
You are not a backlog manager. You spend real time with health plan and PBM data, analytics and AI teams, you find the decisions where shared context saves them time and money, and you turn that into a product engineers want to build and customers pay for.
Key Responsibilities
Customer Discovery
- Run a weekly discovery rhythm with payer and PBM data, analytics, architecture and AI leaders
- Find the costly decisions where teams each keep their own rules, mappings and retrieval, and rank the opportunities by customer and business value
- Bring field signal from Sales, pre-sales and forward deployed engineers into the roadmap every week
Context AI Product
- Own the Context AI roadmap: graph coverage across codes, crosswalks, coverage policy, payment rules and drug data, plus ontology editing, approvals, change history and source connections
- Run customer pilots with success criteria set up front, and turn what works into product
- Decide what we build next and what we stop doing
Platform and Developer Experience
- Define what our engineers, partners and customer builders need to build agents and apps on the platform: APIs, SDKs, MCP access, docs and onboarding
- Measure adoption and remove the friction that slows builders down
Execution
- Write clear PRDs, acceptance criteria and evals for data quality, retrieval accuracy and freshness
- Set the release rhythm with engineering and hold it
Go-To-Market
- Give Sales and Marketing the positioning, packaging inputs and proof points for Context AI
- Join technical customer conversations when a deal needs a product voice
What Success Looks Like After One Year
- Production adoption. Context AI running in production at multiple customers beyond pilot, on their own policies and terminology.
- Pilot conversion. Pilots that convert to paid, each with written success criteria.
- Platform pull. A growing number of our agents and customer-built agents calling Context AI by default.
- Discovery system. Every roadmap item traceable to a customer problem.
- Trusted data. Published accuracy and freshness metrics, with provenance on every answer.
Qualifications
Experience
- 5+ years in product management, with B2B data, AI or platform products shipped to enterprise customers
- A track record of customer discovery that changed what a team built
- Experience shipping APIs, SDKs or developer platforms that other teams build on
- Healthcare payer or PBM experience strongly preferred, especially with reference data such as code sets, coverage policy, formularies or fee schedules
AI and Technical Depth
- Working knowledge of knowledge graphs, ontologies, semantic layers, retrieval and how LLM agents use context
- Familiarity with MCP, REST APIs and data catalogs, and comfort writing SQL
- Familiarity with healthcare code sets and data standards such as ICD-10, CPT/HCPCS, NDC, FHIR and X12
The Right Mindset
- Driver, not a passenger. You pick up the problem and lead, without waiting to be asked.
- Embraces the mess. There is work in progress everywhere and less process than you would like. You move us from chaos to structure without slowing us down.
- Customer curiosity. You go to the customer first and come back with problems, not feature requests.
- Bias for action. Ships, measures and iterates. Makes decisions with imperfect information and owns the outcome.
- Simplifies and drives clarity. You make complicated infrastructure legible to a payer executive and an engineer alike.
- Honesty and humility. Transparent, low-ego, customer-leaned, truth-seeking.
What We Offer
- Competitive compensation and meaningful equity
- 100% employer-paid medical, dental, and vision insurance, plus 401(k), disability insurance, and employee assistance programs
- Direct work with experienced founders, engineering leaders and the largest health enterprises in the U.S.
- High ownership in one of the most consequential chapters of healthcare AI
Location
In person in Austin, TX.
How To Apply
Send your resume and a brief note to careers@autonomize.ai telling us about a customer insight that changed what you built.
See all 143+ H-1B Visa Platform Manager Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Platform Manager
Map your degree to platform management duties
USCIS evaluates whether your specific degree field directly relates to the Platform Manager role, not just whether you hold a bachelor's degree. Document how your coursework in information systems, computer science, or business technology maps to your day-to-day platform oversight and product responsibilities.
Verify prevailing wage before accepting an offer
Your employer's LCA must certify wages at or above the DOL prevailing wage for your SOC code and work location. Run your role through the OFLC Wage Search using the correct occupational code before you evaluate any offer, so you know the floor the employer is legally bound to meet.
Target employers with active LCA filing history
Use Migrate Mate to identify companies that have already certified LCAs for Platform Manager or closely related product operations roles. Employers with recent filing history have an established internal process, which shortens the time between offer and petition filing.
Clarify multi-site work arrangements before filing
If your role involves managing platforms across multiple office locations or client sites, each worksite needs its own certified LCA. Raise this with your employer's immigration counsel before the I-129 petition is filed to avoid worksite compliance issues that can jeopardize your status.
Review the O*NET profile for your occupation code
The O*NET occupation profile for your SOC code describes the degree requirements and core tasks USCIS uses to assess specialty occupation status. Cross-check your job description against those listed tasks so your offer letter and employer support letter use language consistent with how the role is officially classified.
Plan your H-1B timeline around the annual cap
H-1B visa selection rules have changed recently, so confirm the current process with your employer's immigration attorney well before your OPT or other work authorization expires. Status is granted for up to three years initially, with extensions available up to a six-year maximum under standard cap-subject rules.
H-1B Visa Platform Manager: Frequently Asked Questions
Does a Platform Manager role qualify as an H-1B specialty occupation?
Yes, when the position requires at least a bachelor's degree in a directly related field such as computer science, information systems, or engineering. USCIS looks at whether the degree requirement is a genuine prerequisite for the specific duties involved. Employers strengthen the case by writing job descriptions that tie platform architecture, API management, or system integration tasks explicitly to degree-level knowledge.
How do I find employers who sponsor H-1B visas for Platform Manager roles?
Migrate Mate shows employers with verified H-1B LCA filing history for platform and product operations roles, so you can focus your applications on companies that have already navigated the sponsorship process. Filtering by employers with recent filings is more reliable than assuming any technology company will sponsor, since H-1B sponsorship policies vary significantly even within the same industry.
What SOC code is typically used for Platform Manager H-1B petitions?
Platform Manager roles are most commonly filed under SOC codes for Computer and Information Systems Managers or Software Developers depending on how the employer structures the position. The SOC code determines the prevailing wage level your employer must certify on the LCA, so confirming the correct classification before filing matters for both compliance and your offer negotiation.
Can my employer file a single LCA if I work from home and occasionally visit client sites?
No. Each worksite where you perform H-1B duties for more than a short-term period requires its own certified LCA listing that location. Remote work from your home address and recurring client site visits each count as separate worksites under DOL rules. Your employer's immigration counsel should conduct a worksite audit before the I-129 petition is submitted to USCIS.
How long does H-1B status last for a Platform Manager position?
H-1B status is initially granted for up to three years and can be extended to a maximum of six years under standard cap-subject rules. Extensions beyond six years are available only if you have an approved I-140 immigrant visa petition or a pending PERM labor certification that meets specific age requirements under AC21 portability rules.