Job Description
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)
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