Product Manager

• Define and own the product roadmap for one or more core product lines or features.
  
• Translate business goals, user needs, and technical opportunities into clear product strategies.
  
• Prioritize features and enhancements based on impact, effort, and strategic alignment.

2. Execution & Delivery

• Write detailed Product Requirement Documents (PRDs) and ensure clarity across engineering, design, and QA teams.
  
• Work with engineering leads to define scope, timelines, and technical trade-offs.
  
• Drive sprint planning, backlog grooming, and release management.
  
• Ensure high-quality delivery with metrics on performance, reliability, and usability.

3. Technical Collaboration

• Act as the product liaison with engineering understanding APIs, architecture, data models, and system constraints.

4. User Experience & Feedback

• Partner with design and user research teams to develop intuitive, user-centric experiences.
  
• Collect and analyze customer feedback and usage metrics to inform product improvements.

5. Cross-functional Leadership

• Collaborate with sales, marketing, and operations to ensure successful launches and go-to-market alignment.
  
• Support customer success and pre-sales teams with product expertise and demos.
  
• Communicate product vision and progress effectively to stakeholders at all levels.

Required Skills

• Bacheloror Masterdegree from IITs, NITs, or BITS.
  
• 3-5 years of experience in product management or technical program management.
  
• Strong understanding of APIs, cloud platforms, databases, and system integrations.
  
• Experience with Agile/Scrum processes and tools (e.g., Jira, Confluence).
  
• Excellent analytical, communication, and documentation skills.

Preferred Skills

• Prior experience in AI/ML, SaaS, or healthcare tech products.
  
• Familiarity with DICOM, REST APIs, FHIR, or integration frameworks.
  
• Exposure to data analytics, dashboards, or workflow automation systems.
  
• Technical proficiency to work hands-on with development teams and interpret logs, metrics, or model outputs.