Product Manager, HR

Team context

Role overview

Product and technical ownership

• Own HR functional areas such as performance management, compensation, learning and technical upskilling, or employee experience.
• Develop roadmaps that progress from isolated HR tools to connected, intelligent, event-driven systems.
• Translate operational workflows into architecture specifications, API requirements, schema definitions, and event triggers.
• Contribute to solution and system design discussions and evaluate technical trade-offs.

Data, AI, and execution

• Use data modeling, event logs, pipeline logic, telemetry, and product analytics to understand journeys and identify bottlenecks, drop-offs, and manual steps.
• Build and implement GenAI and agentic AI use cases, such as HR policy agents, performance review synthesis, learning recommendations, and predictive retention modeling.
• Define PRDs, technical specifications, user stories, and acceptance criteria, and drive Agile cross-functional execution.
• Measure adoption, latency, operational overhead reduction, CSAT, and NPS; iterate using data and feedback.

Qualifications

• At least 3 years of Product Management experience in B2B SaaS, with exposure to technical solutioning.
• Technical and data aptitude to work with system architecture, APIs, schemas, SQL, and analytics.
• Practical understanding of GenAI, LLMs, and agentic workflows.
• Strong systems design thinking, organizational design, and user-centric process mapping.
• Clear communication across business, HR, engineering, and data teams.
• Engineering background such as B.Tech or B.E.; a Tier-1 MBA is optional.

Technical domain

• Modern HR technology, including HRIS configuration, data models, REST APIs, webhooks, and domain-specific SaaS tools.
• Product data and analytics methods, including data modeling, event logs, pipeline logic, and telemetry.