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Product Manager

4 weeks ago


Solapur, Maharashtra, India eka Full time
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