Product Manager

Purpose of the Role:-

To own and drive product strategy for a consumer-facing (B2C) product area at Park+ — from identifying user problems to shipping and scaling AI-powered solutions. The role focuses on building products used by millions of vehicle owners, with AI and automation at the core of how problems get solved.

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.

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Roadmap & Prioritization: Translate user research, behavioral data, and business goals into a clear, prioritized product roadmap.

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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.

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Customer Focus: Deeply understand the end consumer through user interviews, support tickets, analytics, and market research; represent their voice in every decision.

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Stakeholder Communication : Communicate roadmap, outcomes, and trade-offs clearly to stakeholders and leadership.

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Data & Insights: Track product and funnel metrics (activation, retention, conversion, CAC/LTV, etc.) and derive actionable insights to improve the product experience.

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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.)

• 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

Preferred Qualifications

• B.Tech

Key Interactions

- Internal: Engineering, Design, Data Science, Business/Growth teams, Leadership

- External: AI/ML tooling vendors, research & UX agencies, Consultants (if applicable)