Compensation: ₹15L – ₹30L • 0.1% – 2.0%
Did you experience an insurance product and say to yourself, “I wish there was a better process powered by modern technology”?
Here’s your opportunity to be part of a fast-growing startup on a mission to modernize the insurance ecosystem. We are building an AI-powered platform that transforms insurance underwriting, enrollment, and decision-making by leveraging LLMs, agentic models, and reasoning engines to automate and streamline complex workflows.
As a Product Manager, you will play a pivotal role in productizing cutting-edge AI innovations. You’ll work at the intersection of AI research, engineering, and product, defining how LLMs, agentic models, and reasoning engines can be leveraged to deliver intelligent, self-improving insurance workflows. If you’re passionate about building AI-first products that solve real business challenges, this role is for you!
Responsibilities:
- AI Productization – Partner with applied data scientists and research engineers to translate LLM and agentic model innovations into real-world products for insurance carriers and brokers.
- Product Strategy & Roadmap – Define and execute the roadmap for AI-powered underwriting, automation, and decision-making tools, aligning with company goals. Part of this you own the quarterly roadmaps, break it down to sprints and are responsbile for running daily standups.
- LLMs & Intelligent Agents – Drive the adoption of LLM-powered reasoning models, document intelligence, and workflow automation within our platform.
- Research Collaboration – Work closely with internal research labs to test, validate, and integrate new AI capabilities into customer-facing products.
- Customer Research & Insights – Engage with insurers, underwriters, and brokers to understand their workflows, uncover AI-driven opportunities, and validate solutions.
- Requirements Definition – Write detailed product specs, user stories, and AI model requirements, ensuring alignment between research, engineering, and business objectives.
- AI/ML Metrics & Feedback Loops – Define success metrics for LLM-based features, ensuring continuous model refinement, evaluation, and improvement.
- Collaboration with Engineering & Design – Work closely with ML engineers, software engineers, and designers as part of the daily scrum to build scalable, intuitive AI-powered solutions.
- Go-To-Market & AI Adoption – Collaborate with marketing, sales, and customer success teams to drive AI education, adoption, and value realization for customers.
- Cross-Functional Leadership – Influence teams across engineering, data science, and operations to drive successful AI product launches.
Desired Skills and Experience:
- 5+ years of product management experience, with at least 2+ years in AI/ML-driven products.
- Strong ability to define and drive a product roadmap for AI/ML-based features, ensuring model development aligns with user needs.
- Experience working with LLMs, reasoning engines, retrieval-augmented generation (RAG), agentic models, and NLP applications is a big plus.
- Deep understanding of AI-driven automation, intelligent decision-making, and agentic systems.
- Analytical mindset – comfortable with AI/ML performance metrics, experimentation, and feedback loops to refine models.
- Experience working with MLOps teams, AI research teams, and data science workflows to bring AI models from prototype to production.
- Strong communication skills – ability to bridge the gap between AI research, engineering, and business teams.
- Proactive problem solver – thrives in an ambiguous, fast-paced startup environment with a strong sense of ownership and responsibility.
- Experience in insurance technology (Insurtech), financial services, or AI-driven automation platforms is a plus.
- Experience in agile methodologies, scrum, and product development lifecycles.
Education:
BS/MS degree in Computer Science, AI/ML, Data Science, or a related field. A strong technical foundation in AI/ML concepts, NLP, and reasoning models is preferred.
This is an AI-first product management role for someone who wants to build, iterate, and bring cutting-edge AI research to life in insurance. If you’re excited about pushing the boundaries of AI in Insurtech, let’s talk!