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Product Manager

Product Manager

ConfidentialJaipur, India
30+ days ago
Job description

As a Product Manager at mlHealth 360 , you will lead the next phase of development for

our AI-driven Radiology solutions, including medical imaging diagnostic AI products.

The ideal candidate will combine technical acumen, clinical understanding, and

regulatory awareness to drive end-to-end product lifecycle — from concept to

deployment and compliance with Indian SaMD regulations.

Key Responsibilities

1. Product Strategy & Roadmap

  • Define and own the product roadmap for AI-based radiology applications in CT,

MRI, and X-ray domains.

  • Conduct market and competitive analysis to identify gaps, unmet clinical needs,
  • and differentiation opportunities.

  • Collaborate with leadership to align product goals with company vision and
  • market strategy.

    2. Product Development & Execution

  • Translate clinical and business requirements into actionable product
  • specifications and user stories.

  • Work closely with AI / ML, software engineering, and UX teams to ensure timely,
  • high-quality product releases.

  • Participate in sprint planning, backlog grooming, and product reviews.
  • Drive validation activities, including performance testing, reader studies, and
  • usability testing.

    3. Regulatory & Quality Compliance (SaMD)

  • Ensure product design and documentation comply with CDSCO, ISO 13485, IEC
  • 62304, ISO 14971, and MDR (India) requirements for Software as a Medical

    Device.

  • Collaborate with QA / RA teams on :
  • o Risk management files and traceability matrices.

    o Clinical evaluation and post-market surveillance plans.

    o Change control and version management procedures.

  • Support technical file preparation for CDSCO submission and other international
  • markets (e.g., CE, FDA if applicable).

    4. Stakeholder Engagement

  • Work closely with radiologists, clinicians, and hospital IT teams to capture
  • feedback and validate clinical workflows.

  • Liaise with sales, marketing, and customer success teams to support pre-sales
  • demos, training, and go-to-market launches.

  • Communicate product vision and performance to internal and external
  • stakeholders.

    5. Data, AI, and Platform Integration

  • Understand and evaluate AI model performance metrics, datasets, and
  • annotation processes.

  • Collaborate with the AI team to define dataset requirements, validation
  • protocols, and model integration pipelines.

  • Support deployment of cloud-based and PACS-integrated AI workflows (e.g.,
  • DICOM, HL7, FHIR)

    Required Skills and Qualifications :

    Education

  • Bachelor's degree in Engineering, Computer Science, Biomedical Engineering, or
  • related field.

  • Master's in Healthcare Technology, Product Management, or Business
  • Administration is a plus.

    Experience

  • 4–7 years of total experience, including 2+ years in product management
  • (preferably in medical imaging, digital health, or SaMD).

  • Experience with AI-based medical imaging solutions, cloud / SaaS platforms,
  • or clinical workflow systems preferred.

  • Working knowledge of Indian regulatory requirements for SaMD — CDSCO, ISO
  • 13485, IEC 62304, and related frameworks.

  • Prior experience working with cross-functional R&D and clinical validation
  • teams.

    Technical & Domain Skills

  • Understanding of CT / MRI modalities, DICOM standards, and PACS / RIS
  • integration.

  • Familiarity with AI / ML lifecycle concepts — model training, testing, validation,
  • and deployment.

  • Exposure to cloud platforms (AWS / Azure / GCP), APIs, and containerization
  • (Docker / Kubernetes).

  • Proficiency with Agile tools (Jira, Confluence, Asana).
  • Soft Skills

  • Strong analytical and problem-solving mindset.
  • Excellent communication and stakeholder management abilities.
  • Ability to translate complex clinical and technical concepts into clear product
  • strategies.

  • Passion for improving healthcare outcomes through AI innovation
  • Skills Required

    iec 62304 , Iso 13485, Apis, Asana, Jira, Gcp, Confluence, Docker, containerization , Azure, Kubernetes, Aws

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