Ai Native Product Manager Job in Leap Finance

AI Native Product Manager

Location: Bengaluru
Type: Full-Time
Experience Required: 2+ Years in PM (with a B2C focus)

Role Overview: Architecting the Future of AI

We are seeking a visionary AI Native Product Manager to drive innovation within our core product suite. You will leverage deep expertise in LLMs, Generative AI, and AI Prompting to translate market trends and user needs into a cohesive, high-impact product strategy. This is a role for a "tinkerer" who understands the technical nuances of AI and the psychological drivers of B2C users.

The Ideal Candidate Profile

AI Specialization:

• Technical Fluency: Deep knowledge of Large Language Models (LLMs), Gen AI workflows, and advanced Prompt Engineering.
• Hands-on Tinkering: A genuine passion for AI advancements and a history of experimenting with cutting-edge AI tools.

Product Leadership:

• Metrics Ownership: Proven track record of owning and successfully driving Head Metrics for a digital product.
• B2C Expertise: Essential experience in B2C product management, focusing on user behavior and retention.
• GTM Strategy: Experience with Product Launches and Go-to-Market (GTM) strategies is a significant advantage.
• Agile Mastery: Expert understanding of Agile methodologies and end-to-end product lifecycle management.

Key Responsibilities

Strategy & Discovery:

• Visionary Roadmap: Develop and adapt a clear product vision based on market analysis and evolving AI trends.
• Requirements Engineering: Translate stakeholder needs into precise product specs, user stories, and acceptance criteria.

Execution & Growth:

• Cross-functional Leadership: Lead engineering, design, and marketing teams to ensure seamless execution of the roadmap.
• End-to-End Development: Manage scope, timelines, and resources to deliver high-quality AI-driven features.
• Launch & Iterate: Execute successful product launches and monitor post-launch performance to inform continuous improvements.
• Data-Driven Decisions: Use data analytics and user behavior insights to track KPIs and pivot strategies proactively.

Core Competencies

• Communication: Ability to convey complex AI concepts to non-technical stakeholders clearly.
• Problem Solving: A proactive, hands-on approach to tackling the unique challenges of non-deterministic AI outputs.
• Quantitative Mindset: Comfortable with advanced analytics tools to validate product hypotheses.