Product Manager

About the role

What you'll do

• Product Ownership: Own the end-to-end product lifecycle for a consumer-facing product area — from discovery and problem definition to roadmap, execution, and post-launch iteration.
• Roadmap & Prioritization: Translate user research, behavioral data, and business goals into a clear, prioritized product roadmap.
• AI & Automation: Identify opportunities to apply AI/automation — LLMs, ML models, RAG, OCR — to reduce manual effort, improve product experience, or unlock new capabilities.
• AI Feature Delivery : Own end-to-end delivery for at least one AI-powered or automated feature, from idea to adoption, partnering closely with engineering and data teams.
• Metrics & Experimentation: Define and track success metrics for every feature shipped; run experiments (A/B tests, funnel analysis) to validate impact.
• Customer Focus: Deeply understand the end consumer through user interviews, support tickets, analytics, and market research; represent their voice in every decision.
• Stakeholder Communication : Communicate roadmap, outcomes, and trade-offs clearly to stakeholders and leadership.
• Data & Insights: Track product and funnel metrics (activation, retention, conversion, CAC/LTV, etc.) and derive actionable insights to improve the product experience.
• Cross-functional Collaboration: Work closely with Engineering, Design, Data, and Business/Growth teams to ship and scale features end-to-end.
• Candidate Profile – Skills & Competencies
• 3–6 years of experience in Product Management, with proven ownership of consumer-facing (B2C) products
• Hands-on experience building or driving adoption of AI/automation-powered product features (LLMs, ML models, RAG pipelines, OCR automation, chatbots, recommendation engines, etc.)

What you'll bring

• B.Tech
• Key Interactions
• Internal: Engineering, Design, Data Science, Business/Growth teams, Leadership
• External: AI/ML tooling vendors, research & UX agencies, Consultants (if applicable)