AI Product Manager

We are hiring a Product Manager who has built and shipped AI-powered products in production. This role owns AI-led initiatives across risk assessment, intelligence, user experience, operations, and internal tooling. AI is a core system for us, not a feature add-on. You will work closely with founders, AI engineers, backend teams, and design to build meaningful, high-impact AI products.
Responsibilities:
Building and scaling our Risk Engine for risk assessment, scoring, and compliance decisions.
AI-driven data analytics across policies, claims, user behaviour, and operations.
Converting messy insurance documents into structured, usable data.
Building systems that explain insurance policies in simple, human language.
Detecting coverage gaps, risks, exclusions, and anomalies automatically.
Voice intelligence, including voice bots, call analysis, sentiment detection, and agent assist.
AI-assisted coding and internal tools to accelerate product development.
Designing AI-first product experiences in collaboration with design and engineering.
Applying GenAI, ML, and rule-based systems across the product lifecycle.
Owning accuracy, explainability, evaluation metrics, and guardrails for AI features.
Requirements:
Strong product fundamentals with an end-to-end ownership mindset.
Hands-on experience shipping AI or GenAI features into production.
Ability to clearly define AI use cases, constraints, and success metrics.
Comfort working deeply with AI engineers and data teams.
Clear communication and structured thinking.
4 to 5 years of Product Management experience.
12 to 18 months of real, hands-on AI product work.
Experience working closely with AI engineers or data teams.
Shipped AI features into production, not just POCs.
You should know:
Difference between LLMs, ML models, and rule-based systems.
Prompt design, hallucination risks, and AI limitations.
How to design fallbacks when AI systems fail.
Why AI UX is different from traditional product UX.
What will make you stand out:
Experience building decision engines, risk systems, or intelligence layers.
Prior work in consumer tech, fintech, or regulated domains.
Strong judgment on when not to use AI.
What we are NOT looking for (Read carefully).
PMs who only used ChatGPT for writing PRDs.
PMs who think AI equals OpenAI API integration.
PMs who avoid data, logic, or system design discussions.
PMs who wait for engineers to define solutions.

Experience
4-6 yrs