VideaHealth Green Card Visa Sponsorship Jobs USA
VideaHealth sponsors Green Card visas across technical and AI-focused roles, making it a viable path for skilled professionals in the dental technology space. The company supports both EB-2 and EB-3 classifications, with sponsorship typically tied to engineering, data science, and software development positions.
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We are looking for a "10x Builder" who leverages the latest AI development tools to rapidly conceptualize, build, and deploy functional prototypes. You will operate as an autonomous unit, bypassing traditional engineering bottlenecks by using AI to generate code, design architectures, and stand up infrastructure. Your mission is validation velocity: proving technical feasibility and product-market fit through working software before we commit to a full-scale engineering build.
Key Responsibilities
- Zero to One Track Record: You’ve been in roles taking greenfield ideas and validating concepts that have resulted in successful revenue generating products.
- Rapid Feasibility Testing: Take a raw "What if...?" idea and turn it into a clickable, data-connected application within 48–72 hours to prove it can work.
- Solo End-to-End Build: Use AI coding agents and LLMs to build "Stage 1" functional products (Full-stack) from scratch without needing a dedicated backend or frontend team. This initial proof of concept will likely be thrown away - you should be comfortable with that.
- AI-Driven Toolchain Management: Curate and master a stack of "Multiplier Tools" (e.g., v0.dev for UI, Cursor/Bolt for logic, Supabase for instant backends, and Replicate for model integration).
- Customer Obsessed: Regular touchpoints with customers to understand pain points and run iterative feedback loops with prototypes to validate it meets their needs.
- Technical De-risking: Identify the "hardest" part of a concept and build a specific proof-of-concept (POC) to ensure the tech is viable before the business invests.
- Hand-off Documentation: When a prototype is validated, provide the "AI-generated blueprint" and whatever code to the core engineering team for assessment.
Required Skills & Qualifications
- Polyglot Logic: You don't need to be a master of one language, but you must be a master of system architecture. You should know enough Python, TypeScript, and SQL to guide AI agents to write working code.
- Prompt Engineering for Development: Advanced ability to "co-author" complex software with AI, including debugging AI-generated hallucinations and refactoring legacy AI code.
- Architecture Intuition: Ability to choose the right "Lego blocks" (APIs, Serverless functions, BaaS) to stand up a product instantly.
- Product Sense: A "founder mindset." You aren't just building to spec; you are building to test a hypothesis. You know when to cut corners to move faster and when quality matters.
Don’t meet all the listed requirements? We still encourage you to apply! We are looking for the right teammate who is excited to contribute to our mission and are flexible on level of experience.
VideaHealth is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
VideaHealth is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Threshold ventures, Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets. If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!
Role Overview
We are looking for a "10x Builder" who leverages the latest AI development tools to rapidly conceptualize, build, and deploy functional prototypes. You will operate as an autonomous unit, bypassing traditional engineering bottlenecks by using AI to generate code, design architectures, and stand up infrastructure. Your mission is validation velocity: proving technical feasibility and product-market fit through working software before we commit to a full-scale engineering build.
Key Responsibilities
- Zero to One Track Record: You’ve been in roles taking greenfield ideas and validating concepts that have resulted in successful revenue generating products.
- Rapid Feasibility Testing: Take a raw "What if...?" idea and turn it into a clickable, data-connected application within 48–72 hours to prove it can work.
- Solo End-to-End Build: Use AI coding agents and LLMs to build "Stage 1" functional products (Full-stack) from scratch without needing a dedicated backend or frontend team. This initial proof of concept will likely be thrown away - you should be comfortable with that.
- AI-Driven Toolchain Management: Curate and master a stack of "Multiplier Tools" (e.g., v0.dev for UI, Cursor/Bolt for logic, Supabase for instant backends, and Replicate for model integration).
- Customer Obsessed: Regular touchpoints with customers to understand pain points and run iterative feedback loops with prototypes to validate it meets their needs.
- Technical De-risking: Identify the "hardest" part of a concept and build a specific proof-of-concept (POC) to ensure the tech is viable before the business invests.
- Hand-off Documentation: When a prototype is validated, provide the "AI-generated blueprint" and whatever code to the core engineering team for assessment.
Required Skills & Qualifications
- Polyglot Logic: You don't need to be a master of one language, but you must be a master of system architecture. You should know enough Python, TypeScript, and SQL to guide AI agents to write working code.
- Prompt Engineering for Development: Advanced ability to "co-author" complex software with AI, including debugging AI-generated hallucinations and refactoring legacy AI code.
- Architecture Intuition: Ability to choose the right "Lego blocks" (APIs, Serverless functions, BaaS) to stand up a product instantly.
- Product Sense: A "founder mindset." You aren't just building to spec; you are building to test a hypothesis. You know when to cut corners to move faster and when quality matters.
Don’t meet all the listed requirements? We still encourage you to apply! We are looking for the right teammate who is excited to contribute to our mission and are flexible on level of experience.
VideaHealth is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
VideaHealth is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Threshold ventures, Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets. If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!
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Get Access To All JobsTips for Finding VideaHealth Green Card Jobs
Target roles aligned with VideaHealth's core AI platform
VideaHealth builds AI-powered dental diagnostics software, so Green Card sponsorship is most accessible to engineers, machine learning specialists, and data scientists whose work directly supports the product. Applying to roles at the heart of the technology stack improves your chances.
Understand the EB-2 versus EB-3 distinction before applying
VideaHealth sponsors both EB-2 and EB-3 classifications. EB-2 typically applies to roles requiring advanced degrees or exceptional ability, while EB-3 covers skilled positions. Knowing which category fits your background helps you ask the right questions during the interview process.
Raise Green Card sponsorship early in the offer stage
At technology companies like VideaHealth, immigration benefits are often discussed during offer negotiation rather than during screening. Bringing up Green Card sponsorship at the offer stage, not in early interviews, signals professionalism and keeps the conversation focused on your fit first.
Confirm sponsorship history before investing heavily in applications
Not every open role at a technology company comes with Green Card sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you prioritize VideaHealth roles where Green Card support has actually been provided.
Prepare for the PERM labor certification process
Green Card sponsorship at companies like VideaHealth typically begins with PERM labor certification, where VideaHealth must demonstrate no qualified U.S. worker is available. Understanding this process and cooperating with documentation requests can significantly reduce delays on your application.
Leverage your F-1 OPT status strategically if you are already in the U.S.
VideaHealth sponsors F-1 OPT, which gives you a window to prove your value before initiating the Green Card process. Using OPT to establish yourself in a core technical role at VideaHealth can make you a stronger candidate for employer-sponsored permanent residency.
VideaHealth Green Card Visa Sponsorship: Frequently Asked Questions
Does VideaHealth sponsor Green Card visas?
Yes, VideaHealth sponsors Green Card visas for qualifying employees. The company supports both EB-2 and EB-3 immigrant visa classifications, with sponsorship primarily concentrated in technical roles such as software engineering, machine learning, and data science that are central to its AI-driven dental technology platform.
Which roles at VideaHealth are most likely to receive Green Card sponsorship?
Green Card sponsorship at VideaHealth is most common in technical and product-focused departments. Software engineers, machine learning engineers, and data scientists working on the core AI diagnostics platform are the most frequent recipients. Research and clinical informatics roles may also qualify depending on the position's requirements and degree level.
How do I navigate the Green Card application process at VideaHealth?
The process typically starts with PERM labor certification, where VideaHealth files with the Department of Labor to confirm no qualified U.S. worker is available for your role. After PERM approval, the company files an I-140 immigrant petition on your behalf. Your priority date and country of birth then determine how long you wait before filing for adjustment of status.
How long does the Green Card process take when sponsored by VideaHealth?
Timeline depends primarily on your visa category and country of birth. For applicants from countries without significant backlogs, the process from PERM to Green Card approval can take two to four years. Indian and Chinese nationals face considerably longer waits due to annual per-country limits. VideaHealth's role is to initiate and support the petition; wait times are driven by government processing, not the employer.
How do I find open Green Card jobs at VideaHealth?
Start by searching for VideaHealth roles on Migrate Mate, which tracks verified Green Card sponsors and lets you filter specifically for companies with confirmed sponsorship history. When you identify a promising role, review the job description for degree and experience requirements that signal EB-2 or EB-3 eligibility, then confirm sponsorship willingness directly with the recruiter during initial conversations.
What is the prevailing wage for Green Card sponsorship at VideaHealth?
Employers sponsoring a Green Card through the PERM labor certification process must pay at least the prevailing wage for the role. The Department of Labor determines this rate based on the specific job title, location, and experience level. The prevailing wage is locked in during the PERM filing and applies through the entire Green Card process. You can look up current rates using the DOL's OFLC Wage Search tool.