Product Manager

2 days ago

Bengaluru, Karnataka, India eka Full time US$ 1,20,000 - US$ 2,00,000 per year

About Eka Care

Eka Care is building the
Healthcare OS for India and beyond
— a GenAI-powered platform that empowers health tech startups, hospitals, clinics, and patients with connected, intelligent care solutions.

We're trusted by
50K+ doctors, 30M+ patients, and 10K+ clinics
. Deeply integrated with India's ABDM infrastructure, Eka Care enables modern, seamless healthcare journeys through
smart EMRs, PHRs, APIs, and voice/AI interfaces
.

About the Role – Product Manager (AI Healthcare Products)

We are looking for a
hands-on Product Manager
to lead the evolution of our AI-powered healthcare tools:

  • EkaScribe
    – AI medical scribe for automated clinical documentation
  • DocAssist
    – Real-time clinical decision support and smart assistant for doctors

This role is ideal for someone with
2–5 years of experience
who can combine
AI prompt design skills with product thinking
, enjoys working closely with doctors, and thrives in fast-paced, iterative development environments.

You will work with clinicians, engineers, AI scientists, and designers to deliver
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
– Medical & Accidental Insurance

Parental Support
– Maternity & Paternity Benefits

Mobility
– Relocation Benefits, Transfer Support, Travel Policy

Retirement
– PF (Flexible Contribution), Gratuity, NPS, Leave Encashment

Other
– Salary Advance Policy

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