The Role
Own the vision and roadmap for AI products embedded in clinical workflows. Partner with data scientists, AI engineers, and designers on model selection, prompting, retrieval, speech, tools, and agent orchestration. Define product quality evaluations, safety guardrails, and trust metrics. Translate clinical problems into product behaviors, lead enterprise and government deployments, and manage client engagements. The role requires AI product management experience, technical API and SDK fluency, and strong judgment around healthcare AI safety.
Summary Generated by Built In
Product Manager - AI Products
Bangalore | Full-time
About Eka Care
Eka.care is one of India's leading HealthTech startups, building at the intersection of Agentic AI and the doctor's daily workflow. Our products span ambient clinical documentation (EkaScribe), an EMR trusted by thousands of doctors across clinics and hospitals, personal health records, and developer infrastructure. Our systems are already live at scale — and we're now pushing the frontier of what AI agents can do inside real clinical environments.
About the Role
As Product Manager, you will own one or more of our AI verticals, such as Voice AI (EkaScribe) or Eka Agents, that sit inside the doctor's and hospital's daily workflow. You will define what these products do, build the evaluation systems that keep them safe, and deploy them with marquee enterprise and government clients. You will work shoulder to shoulder with data scientists, engineers, and designers across the platform's pillars.
What You Will Do
- Own the product vision and roadmap for your vertical, from what it does for the doctor to how it lands in the clinic and the hospital
- Partner with data scientists and AI engineers on model selection, prompting, tool use, retrieval, speech pipelines, and multi-agent orchestration
- Define what good looks like for your product's output, and build the evaluation systems that hold it to that bar
- Translate ambiguous clinical problems into scoped product behaviors with explicit guardrails and clear safety gates
- Lead enterprise and government client engagements, and define the metrics that matter: task completion rate, escalation rate, missed-escalation rate, and user trust
What We Are Looking For
- 2-6 years of product management experience, ideally on AI/ML or platform products
- Hands-on experience building AI products such as voice AI, conversational AI, or agents
- Genuine fluency with large language models and agentic systems, able to reason about prompts, tool use, evaluations, & failure modes without needing a translator
- Technical understanding of how APIs and SDKs work, backed by hands-on experience shipping against them
- Strong judgment on AI safety and trust trade-offs in healthcare, and clear communication that works equally well with ML engineers, clinical stakeholders, and enterprise clients
Nice to Have
- Understanding of healthcare data standards and structured medical records such as FHIR, SNOMED, and HL7
- Prior work in health tech, digital health, or a clinical informatics role
What You Will Get
- Ownership of an AI vertical at one of India's most technically ambitious healthtech companies
- A front-row seat, and real influence, at the intersection of LLMs, clinical workflows, and enterprise deployment
- Close collaboration with strong data science, engineering, and design teams building on live, scaled infrastructure
- The chance to set the standard for what safe, trustworthy AI looks like in healthcare
Full-Time Employee Benefits
- Medical Insurance & Accidental Insurance
- Maternity & Paternity Benefits
- PF, Gratuity, & Leave Encashment
- Salary Advance Policy
Skills Required
- 2-6 years of product management experience, ideally with AI/ML or platform products
- Hands-on experience building AI products such as voice AI, conversational AI, or agentic systems
- Fluency with large language models and agentic systems, including prompts, tool use, evaluations, and failure modes
- Technical understanding of APIs and SDKs, supported by hands-on experience shipping against them
- Strong judgment regarding AI safety and trust trade-offs in healthcare
- Clear communication with ML engineers, clinical stakeholders, and enterprise clients
- Understanding of healthcare data standards and structured medical records such as FHIR, SNOMED, and HL7
- Prior experience in health tech, digital health, or clinical informatics
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The Company
What We Do
A digitally enabled and connected healthcare ecosystem for better health management. - Manage Your Health Records - Monitor Your Health Vitals - Easy To Use - Private And Secured - Govt. of India Approved #prioritizehealth
