Komodo Health
Posted 48 days agoVerified live 1d ago
Implementation Operations Engineer – AI Solutions
Brief overview
Remote
40 H-1B approvalsDept. of Labor
11 green cardsCertified filings
SQLData ValidationAPI IntegrationCloud PlatformsGenAI ToolsSnowflakeAWSPythonAirflowHealthcare DataSaaS ImplementationStakeholder Management
About the company
Komodo Healthkomodohealth.com
Healthcare analytics company building AI-powered healthcare insights platform.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.40H-1B approved
100%approval rate
5new H-1B hires
11PERM certified
$174,405median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20238
202416
202514
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20237
20247
20255
20261
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232
20243
20256
Top sponsored roles
Senior Data Product ManagerSenior Engineering ManagerProduct Strategy DirectorSenior Security EngineerSenior Cloud Infrastructure Engineer
Sponsored employees from
IndiaIsrael
Job description
Summary
Komodo Health is a healthcare technology company that uses real-world patient data, algorithms, and software applications to reduce the global burden of disease. The Implementation Operations Engineer will manage customer implementations, recurring data deliveries, production workflows, and operational support while supporting AI-enabled implementations. The role will also drive automation, documentation, and process improvements to improve the scalability and reliability of delivery operations.
Responsibilities
- Own end-to-end implementation operations, including customer onboarding, recurring data deliveries, production workflows, and operational support
- Support AI enabled implementations and onboarding by partnering with relevant technical and cross-functional teams
- Execute and validate production deliveries while maintaining high standards for data quality, timeliness, documentation, and customer impact
- Collaborate closely with Product, Engineering, DPQ, Customer Success, and Technical Engagement to resolve issues and deliver customer outcomes
- Use GenAI tools and AI capabilities to improve productivity, accelerate technical workflows, and identify opportunities for operational improvement
- Drive automation, documentation, and process improvements that make implementation operations more scalable and reliable
Skills
- Strong SQL and data fundamentals, with the ability to investigate data, validate outputs, and troubleshoot delivery workflows
- Curiosity and aptitude to learn AI technologies and AI-enabled implementation workflows
- Experience working with APIs, cloud platforms, or modern data ecosystems
- Strong ownership, communication, and stakeholder management skills across technical and non-technical partners
- Comfort working through ambiguity, learning new systems, and taking initiative to solve problems
- Experience with Snowflake, AWS, Python, or Airflow
- Healthcare or Life Sciences industry experience
- SaaS implementation or technical onboarding experience
- Familiarity with GenAI tools and AI-enabled workflows
Qualifications
Must Haves
- Strong SQL and data fundamentals, with the ability to investigate data, validate outputs, and troubleshoot delivery workflows
- Curiosity and aptitude to learn AI technologies and AI-enabled implementation workflows
- Experience working with APIs, cloud platforms, or modern data ecosystems
- Strong ownership, communication, and stakeholder management skills across technical and non-technical partners
- Comfort working through ambiguity, learning new systems, and taking initiative to solve problems
Nice to Haves
- Experience with Snowflake, AWS, Python, or Airflow
- Healthcare or Life Sciences industry experience
- SaaS implementation or technical onboarding experience
- Familiarity with GenAI tools and AI-enabled workflows
Benefits
- Hybrid work model with hubs in San Francisco, New York City, and Chicago
- For hub-based Dragons, intentional in-office rhythms alongside flexibility
- Some roles can be performed from anywhere in the country
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