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AI Product

Leap Finance

Bengaluru, Karnataka, IndiaFull-timeNo compensation foundPosted 9mo agoVerified open 5 days ago
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At a glance

Compensation
No compensation found
Location
Bengaluru, Karnataka, India
Schedule
Full-time
Work Authorization
Not specified

Job overview

Leap Finance is hiring an AI Product. The AI Product Associate will work at the intersection of AI systems, product design, and automation, transforming ideas into scalable internal tools and user-facing experiences. This role involves scoping products end-to-end, building MVPs, automating workflows using LLMs and n8n, and continuously experimenting to enhance product development and delivery.

Key focus areas include Scope, design, and structure new product ideas into clear, testable flows and MVPs, Use LLMs and AI tools to accelerate product thinking, research, and decision-making, and Build lightweight automations and internal tools using n8n and LLM APIs.

Important skills include AI Systems, Product Design, Automation, LLMs, n8n, and Figma.

Skills & qualifications

RequiredNice to have

Skills

AI SystemsProduct DesignAutomationLLMsn8nFigmaChatGPTGeminiCursorClaude CodeGitHub Co-PilotLLM ProficiencyPrompt EngineeringLearning & AdaptabilityProduct ThinkingDesign ExecutionCanvaData AnalysisSQLPerplexityFrontendBackendAPIDatabasesServersPythonJavaScript

Qualifications

Use ChatGPT/Gemini 10+ Hours a WeekAt Least One Active AI SubscriptionBuilt 5+ ProjectsBuilt 1-2 Projects Around the Same TopicKnows in and Out of AICan Create Automated WorkflowsHabit of Documenting/Recording Conversations and ThoughtsVibe-Coded at Least 2+ ProjectsCan Read & Understand CodeKnows Basics of Coding

Full job description

About this role:

As an AI Product Associate, you’ll work at the intersection of AI systems, product design, and automation - turning ideas into scalable internal tools and user-facing experiences. You’ll scope products end-to-end, build MVPs, automate workflows using LLMs and n8n , and constantly experiment to improve how products are built and delivered.

Roles & Responsibilities:

  • Scope, design, and structure new product ideas into clear, testable flows and MVPs.

  • Use LLMs and AI tools to accelerate product thinking, research, and decision-making.

  • Build lightweight automations and internal tools using n8n and LLM APIs.

  • Design and visualize product logic, edge cases, and user journeys through Figma or flow maps.

  • Analyze product performance and identify opportunities to improve speed, clarity, or outcomes.

  • Write concise PRDs, experiment notes, and documentation that capture product logic and reasoning.

  • Continuously explore new AI models, plugins, and frameworks to enhance product workflows. Ideal Persona:

  • Use ChatGPT/Gemini for 10+ hours a week, have at least one active AI subscription

  • Has built at least 5+ projects (App, Website, Prototypes, ChatBots) and at least 1-2 projects around the same topic.

  • Knows in and out of AI, can create automated workflows

  • Has a habit of documenting/recording conversations and thoughts (or has a lot of notes within their notes app)

  • Has vibe-coded at least 2+ projects and uses tools like Cursor/Claude Code/GitHub Co-Pilot

  • Can read & understand code, and knows basics of coding - Variables, Functions, Classes etc. Skills:

  • LLM Proficiency & Prompt Engineering - Understands when to “humanize” vs. “automate.”

  • Automation (n8n) - Hands-on with n8n for workflow automation.

  • Learning & Adaptability - Learns new tools and frameworks extremely fast; self-driven to explore new AI, automation, and product systems to improve workflows.

  • Product Thinking - Can scope products from idea to MVP, mapping user flows, edge cases, and second-order effects of product logic.

  • Design Execution - Comfortable using Figma or Canva for quick prototypes, visual flows, and journey mapping.

  • Data Analysis - Skilled at SQL, deep research using tools like Perplexity, Gemini, and ChatGPT. Technical & Systems Understanding

  • Understands how frontend, backend, APIs, LLMs, databases, and servers interact; can write or edit lightweight code (Python/JS/SQL) and use tools like Claude Code, Cursor, or GitHub Copilot.

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