Product Manager - AI / Product Intelligence

GoSats Group; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

GoSats Group is building the AI-native layer to elevate consumer experience, from intelligent wealth recommendations to personalized notifications and fraud detection. This role is highly IC and involves prototyping with Claude, Codex, and Cursor before broader engineering scale.

You will work in Bengaluru, leveraging an AWS Lambda/NodeJS backend and React-Native frontend stack to prototype and ship AI-powered features.

Qualifications

• 2+ years of PM experience with hands-on AI tooling
• Built and shipped at least one AI-powered consumer feature
• Daily user of Claude, GPT, Codex, Cursor or similar—vibe-codes products
• Strong product taste and design sensibility (form + function)
• Understanding of LLM capabilities, limitations, and cost economics
• Ability to prototype rapidly without engineering dependency

Responsibilities

• Design and build the AI-native layer of GoSats.
• Prototype with Claude, Codex, and Cursor before scaling to engineering.
• Identify opportunities to 10x consumer experience with AI features.
• Collaborate cross-functionally to align product, data, and UX needs.

Skills

PM experience

AI feature delivery

AI tooling fluency

Product sense

LLM economics

Rapid prototyping

Job description

About the Role

You will design and build the AI-native layer of GoSats. This is not a chatbot role. You will figure out where AI can 10x our consumer experience – from intelligent wealth recommendations to personalized notifications, fraud detection, smart spend analysis, and beyond. This role is heavily IC – you will prototype with Claude, Codex, and Cursor yourself before scaling to engineering.

Required Skills

• 2+ years as a PM, with deep hands‑on AI tooling experience
• Has built and shipped at least one AI-powered consumer feature
• Daily user of Claude, GPT, Codex, Cursor, or similar – vibe‑codes products
• Strong product taste and design sensibility (form + function)
• Understanding of LLM capabilities, limitations, and cost economics
• Ability to prototype rapidly without engineering dependency

Bonus

• Crypto‑native or fintech background
• Has shipped a personal AI‑powered side project
• Experience with vector databases, RAG, or fine‑tuning

Technology

We use AWS Lambda stack with NodeJS for backend. React‑Native for frontend.