Product Manager

HuntingCube; Gurugram District; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

HuntingCube is seeking a Product Manager to own the end-to-end lifecycle of a consumer-facing product area—from discovery to roadmap, execution, and post-launch iteration.

You will translate user research and business goals into a prioritized product roadmap, drive AI-powered features with the engineering and data teams, and define metrics while running experiments to validate impact. The role emphasizes customer focus and cross-functional collaboration.

Qualifications

• 3-6 years of experience in Product Management.
• Hands-on experience building or driving AI/automation-powered product features (LLMs, ML models, OCR).
• Strong grasp of product metrics and funnel thinking; able to cite real numbers (conversion lift, retention).
• Excellent communication and stakeholder management skills; cross-functional collaboration.

Responsibilities

• Own the end-to-end product lifecycle for a consumer-facing product area from discovery to post-launch iteration.
• Translate user research, behavior data, and business goals into a clear, prioritized product roadmap.
• Identify opportunities to apply AI/automation to improve product experience and unlock capabilities.
• Own end-to-end delivery for at least one AI-powered or automated feature with engineering and data teams.
• Define and track success metrics and run experiments to validate impact.
• Deeply understand the end consumer through interviews and analytics; represent their voice in decisions.
• Communicate roadmap, outcomes, and trade-offs clearly to stakeholders and leadership.
• Track product and funnel metrics and derive actionable insights to improve the product experience.
• Work closely with Engineering, Design, Data, and Growth teams to ship and scale features end-to-end.

Skills

AI Automation

Product Management

LLM

Job description

Job Description
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

Job Description
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

Required Skills

• AI Automation
• Product Management
• LLM

Additional Information

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.)- Strong grasp of product metrics and funnel thinking - comfortable citing real numbers (conversion lift, CAC reduction, retention improvement) tied to your work- Excellent communication and stakeholder management skills - ability to work cross-functionally with engineering, design, data, and business teams- Strong analytical skills - comfortable with Excel, SQL, and analytics platforms (Mixpanel, Amplitude, or similar) for data-driven decision-making- High ownership, adaptability, and ability to thrive in a fast-paced, high-growth environment