Senior Technical Product Manager

RapidAI; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

RapidAI is seeking a skilled professional to drive the platform infrastructure roadmap for its hybrid Edge Cloud platform within the healthcare sector. This role involves planning, implementing, and optimizing cloud resources while ensuring compliance with healthcare regulations. Candidates should have a strong technical background in cloud technologies, experience with healthcare IT, and the ability to collaborate across technical teams to meet customer needs.

Qualifications

• 5+ years’ experience in healthcare technology roles with a focus on IT.
• Strong understanding of cloud infrastructure and automated deployment technologies.
• Exceptional ability to communicate complex technical concepts.

Responsibilities

• Plan and implement the technical roadmap for the hybrid Edge Cloud platform.
• Define technical specifications for platform infrastructure components.
• Collaborate with engineering teams to implement healthcare solutions.

Skills

Cloud infrastructure

DevOps practices

Compliance awareness

Communication skills

Analytical mindset

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

Terraform

VMware

CloudFormation

Job description

What you will do:

• Drive platform infrastructure roadmap: Plan and implement the technical roadmap for our hybrid Edge Cloud platform, ensuring reliable processing of AI results from medical imaging scans.
• Define technical requirements: Develop and maintain clear technical specifications for platform infrastructure components, including cloud resources, containerization, networking, and automated deployment.
• Collaborate with engineering teams: Work closely with infrastructure engineers, DevOps, security, and other technical teams to implement solutions that meet our healthcare customers' needs.
• Ensure system reliability: Define SLAs, monitoring requirements, and performance metrics for our platform infrastructure to maintain high availability for critical healthcare applications.
• Optimize cloud resources: Analyze infrastructure costs and usage patterns to recommend optimizations that balance performance, reliability, and cost-effectiveness.
• Support compliance needs: Partner with security and regulatory teams to ensure platform infrastructure meets healthcare compliance requirements (HIPAA, SOC2, etc.).
• Technical documentation: Create and maintain comprehensive technical documentation for our platform infrastructure to support engineering, support, and implementation teams.
• Cross-functional alignment: Serve as the technical liaison between platform infrastructure teams and other product areas, ensuring alignment with overall product

What you will bring:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Healthcare IT experience - 5+ years’ experience in healthcare technology roles, with 3+ years’ experience in healthcare IT, medical imaging systems, and/or healthcare data platforms.
• Technical background - Strong understanding of cloud infrastructure, virtualization technologies (AWS, containers, VMware), network storage, and automated deployment technologies (Terraform, CloudFormation).
• Platform product management experience - Track record of managing technical product roadmaps for infrastructure or platform products, with ability to translate technical requirements into business value.
• Infrastructure operations knowledge - Understanding of DevOps practices, CI/CD pipelines, system monitoring, and performance optimization techniques.
• Analytical mindset - Ability to analyze system performance data, identify bottlenecks, and prioritize technical improvements.
• Communication skills - Exceptional ability to translate complex technical concepts for both technical and non-technical stakeholders.
• Security and compliance awareness - Familiarity with healthcare compliance requirements for technical systems.
• Nice to haves:
• Experience with medical imaging workflows and DICOM standards
• Understanding of AI/ML deployment requirements in production environments
• Experience with edge computing or hybrid cloud architectures
• Knowledge of healthcare EMR systems integration (e.g., EPIC)
• Background in software development or systems engineering