Product Management - Product Manager (AI) - Devices Product

Title - Product Management - Product Manager - EDC (AI)

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

Role Overview
We are seeking a passionate and data-driven Product Manager/Sr. Product Manager to lead the development and scaling of IoT device solutions, including

AI-integrated hardware such as

Soundbox and EDCs. The ideal candidate should bring strong product instincts, cross-functional leadership, and experience in building AI-enabled user experiences at scale.

Key Responsibilities
Collaborate with business, design, and engineering teams to define customer journeys, drive hardware + AI use cases

(e.g., AI bot integration, predictive device health), and enhance merchant experience.

Understand IoT hardware architecture and

AI capabilities such as NLP, speech-to-text models, and embedded intelligence to shape product direction.

Define and manage detailed Product Requirement Documents (PRDs), balancing innovation with feasibility across firmware, cloud, and AI pipelines.

Influence business stakeholders and cross-functional teams to expedite decisions and navigate technical roadblocks effectively.

Drive product planning and execution through Agile/Scrum methodologies, aligning sprint goals with roadmap priorities and ensuring timely delivery.

Leverage analytics, real-time device data, and ML models to identify user pain points, track health metrics, and proactively improve product engagement and uptime.

Own product KPIs and continuously refine strategy based on merchant feedback, business impact, and market insights.

Key Qualifications
MBA or Bachelor’s degree in Engineering, Computer Science, or a related field.

Minimum 4 years of experience in Product Management; additional 1–2 years working with hardware and software products is a strong plus.

Good understanding of AI/ML applications in product workflows (e.g., voice assistants, AI bots, predictive diagnostics).

Strong problem-solving, communication, and stakeholder management skills across tech, business, and design teams.

Comfortable working in fast-paced, ambiguous environments with a strong bias for execution.