Job Description

As a Product Manager in the HR Product & Analytics team, you will:

- End-to-End Functional & Technical Ownership: Take full ownership of one or more HR functional areas (e.g., Performance Management, Compensation, Learning & Tech Upskilling, Employee Experience). You will build process maturity roadmaps—progressing from isolated HR tools to connected, intelligent, and event-driven systems.

- Technical Solutioning & Engineering Collaboration: Act as a core technical thought partner to engineering teams. You should be able to break down complex business and operational workflows into tech architecture specs, API requirements, schema definitions, and event triggers. You will actively contribute to solution design, system design discussions, and trade-off evaluations.

- Data-Driven Flow Architecture: Use data modeling, event logs, and pipeline logic to map, explain, and validate complex user journeys. You will leverage telemetry and product analytics to continuously identify bottleneck steps, drop-offs, and manual touchpoints.

- AI & Agentic Workflow Integration: Conceptualize, prototype, and implement GenAI and Agentic AI use cases across the employee lifecycle (e.g., autonomous HR agents for policy resolution,



AI-driven performance review synthesis, intelligent learning/upskilling recommendations, and predictive retention modeling).

- First-Principles & Systems Thinking: Map out end-to-end user journeys with extreme clarity. Simplify ambiguous problem statements into structured tech solutions while considering edge cases, scalable platform architecture, and system dependencies.

- Deep Hands-On System & Product Knowledge: Maintain a deep technical and operational understanding of up-to-date HR tech infrastructure—including core HRIS configurations, data models, integration protocols (REST APIs, webhooks), and domain-specific SaaS tools.

- Agile Execution & Program Management: Define precise product requirements (PRDs), tech specs, user stories, and acceptance criteria. Drive cross-functional execution across engineering, data science, HR operations, and external implementation partners using robust Agile methodologies.

- Metrics & Continuous Iteration: Measure product success through defined quantitative metrics (adoption, latency, operational overhead reduction, CSAT/NPS) and continuously iterate based on data and qualitative feedback.

📌 Product Manager, HR (Bengaluru)
🏢 Phonepe
📍 Bengaluru