Product Manager

Loop Health

Loop Health

Product
Bengaluru, Karnataka, India
Posted on Mar 11, 2026
Loop is building the next generation of healthcare and insurance infrastructure for enterprises. Our mission is to transform how insurance and healthcare work together by making them understandable, preventive, and intelligent.
We are looking for Product Managers who are builders. People who can move from customer insight to shipped product quickly, and increasingly, through AI-native systems. You will own products across our enterprise and insurance platforms and help shape how AI augments healthcare, policy coverage, claims and support workflows, decision making, and member experiences. This includes building agentic workflows, deploying LLM-powered systems, and designing products where software and AI work together seamlessly.
This role reports to the Lead PM and requires a combination of product thinking, technical fluency, and execution ownership.
What You Will Do
  1. Own the vision, strategy, and execution of key products across Loop’s enterprise and insurance platforms
  2. Design and ship AI-first product experiences using LLMs, automation, and intelligent workflows
  3. Move quickly from problem discovery to product shipping by building prototypes, experiments, and production features
  4. Work directly with engineering, design, and data teams to deploy agentic workflows, automation, and AI-enabled decision systems
  5. Define and run product experiments, evaluation frameworks, and model performance benchmarks
  6. Align cross-functional stakeholders across sales, operations, medical teams, and customer success to build products that scale
  7. Drive clarity and decision-making across competing priorities and ambiguous problem spaces
What We Are Looking For
  1. 3-5 years of product management experience in fast-moving product environments
  2. Strong builders mindset. You ship products, not just manage backlogs
  3. Experience working on technical platforms, internal tools, or complex workflow products
  4. Comfort working with AI systems including LLMs, generative AI products, or automation-driven workflows
  5. Understanding of how to evaluate and ship AI systems including prompts, evaluation frameworks, model behaviour, and product trade-offs
  6. Ability to move from ambiguous problem spaces to clear product strategy and execution
  7. Strong product intuition around UX, workflows, and customer experience
  8. Strong written and verbal communication with the ability to articulate complex problems clearly