Product Manager

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