Product Manager - B2C Segment

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.). - 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. Key Responsibilities: 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.