Salary
≈ $33k – $68k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 4+ years exp
Overview
Company
Impact
Profile match
Loop Health is a health insurance broker that aids businesses to provide primary and preventative healthcare services such as unlimited virtual consultation, 24/7 support, etc.
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.
Responsibilities:
- Own the vision, strategy, and execution of key products across Loop's enterprise and insurance platforms.
- Design and ship AI-first product experiences using LLMs, automation, and intelligent workflows.
- Move quickly from problem discovery to product shipping by building prototypes, experiments, and production features.
- Work directly with engineering, design, and data teams to deploy agentic workflows, automation, and AI-enabled decision systems.
- Define and run product experiments, evaluation frameworks, and model performance benchmarks.
- Align cross-functional stakeholders across sales, operations, medical teams, and customer success to build products that scale.
- Drive clarity and decision-making across competing priorities and ambiguous problem spaces.
Requirements:
- 4-8 years of product management experience in fast-moving product environments.
- Strong builder's mindset. You ship products, not just manage backlogs.
- Experience working on technical platforms, internal tools, or complex workflow products.
- Comfort working with AI systems including LLMs, generative AI products, or automation-driven workflows.
- Understanding of how to evaluate and ship AI systems, including prompts, evaluation frameworks, model behaviour, and product trade-offs.
- Ability to move from ambiguous problem spaces to clear product strategy and execution.
- Strong product intuition around UX, workflows, and customer experience.
- Strong written and verbal communication with the ability to articulate complex problems clearly.
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