Product Manager

About Eka Care

Healthcare OS for India and beyond

50K+ doctors, 30M+ patients, and 10K+ clinics

About the Role – Product Manager (AI Healthcare Products)

hands-on Product Manager

• EkaScribe

  – AI medical scribe for automated clinical documentation

• DocAssist

  – Real-time clinical decision support and smart assistant for doctors

2–5 years of experience

clinically accurate, easy-to-use, and delightful experiences

Key Responsibilities

1. AI-First Product Development

• Translate clinical workflows into AI-enabled user journeys.
• Collaborate with data science teams on prompt engineering, LLM output tuning, and multi-step prompt logic.
• Run experiments to test model responses and fine-tune prompts for accuracy, safety, and relevance.

2. Product Discovery & Design

• Engage with doctors and clinical staff to capture requirements and pain points.
• Convert insights into PRDs, user stories, and wireframes with the design team.
• Define acceptance criteria covering both UX and AI output quality.

3. Delivery & Iteration

• Work with engineering to ship features on time with high quality.
• Track adoption, usage analytics, and model performance (accuracy, hallucination rate, response time).
• Prioritize improvements based on clinical feedback and AI evaluation data.

4. Clinical & Regulatory Context

• Ensure AI outputs follow evidence-based guidelines and are clinically safe.
• Stay informed on compliance standards (HIPAA, NABH, NDHM/ABDM).
• Design explainable AI interactions to build clinician trust.
  

Qualifications

Must-Have:

• 3–5 years in product management, AI products, or related roles.
• Hands-on experience in prompt engineering, AI interaction design, or LLM workflows.
• Strong analytical skills to test hypotheses using both data and user feedback.
• Excellent communication skills, comfortable with doctors and tech teams.

Nice-to-Have:

• Experience with healthcare products, EMR/HIMS, or clinical documentation.
• Knowledge of medical NLP, speech-to-text, or summarization models.
• Familiarity with HL7/FHIR integrations.

Key Success Metrics

• Optimised prompts for

  accuracy, speed, and clinical trust

  .
• New features measurably improve

  doctor productivity and documentation quality

  .
• AI evaluation loop is embedded into product development.
• High clinician satisfaction and adoption of

  EkaScribe & DocAssist

  .

Full-Time Employee Benefits

Insurance

Parental Support

Mobility

Retirement

Other