Principal Product Manager - HR Platforms & Technology
Listed on 2026-08-28
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Business
AI Business & Operations
Principal Product Manager | HR Technology Platforms | Hyderabad Summary
SummaryCornerstone OnDemand is seeking a Principal Product Manager to grow our performance and talent management agent portfolio, leading the delivery of AI-native products and enterprise outcome agents that drive measurable customer value. This is a customer-facing AI-native product management role for a hands-on PM who can move quickly from customer discovery and requirements to working prototypes, using modern AI-native product development tools such as Lovable, Claude, Co-Pilot and similar platforms.
The role requires close collaboration with customers, FDEs, engineering, and cross-functional teams to validate solutions early, iterate rapidly, and launch outcome agents that solve meaningful business problems. As our agent portfolio grows, individual agents increasingly work together to compound value for customers, and this role will help shape how new agents fit into that broader picture. The ideal candidate is highly execution-oriented, comfortable working in ambiguity, and able to translate customer needs into prototypes, product direction, and shipped capabilities with speed and rigor.
the Team
You'll join a growing product team building AI-native agents for the performance and talent management domain, part of a broader portfolio of enterprise outcome agents agents help enterprise customers connect everyday work to business outcomes, from goal-setting to performance reviews to coaching and development. As the portfolio expands, we're increasingly focused on how individual agents can work together to create more value than any single agent alone.
This role is an opportunity to help shape that next chapter, taking ownership of new agent areas as the team grows.
In your first 6 to 12 months, you will:
- Take end-to-end ownership of one or more new agent initiatives within the performance and talent domain, from customer discovery through working prototype.
- Build strong relationships with customers, FDEs, and engineering partners, establishing a fast, repeatable feedback loop between discovery and prototype iteration.
- Ship a working AI-native prototype that customers and internal stakeholders can review, test, and validate against real business problems.
- Identify meaningful opportunities for your agent(s) to complement others in the portfolio, contributing to how the team thinks about multi-agent value.
- Establish yourself as a trusted, execution-oriented voice on the team, someone who can take ambiguous customer problems and turn them into shipped product direction with minimal oversight.
You Will:
- Lead end-to-end delivery of new AI-native products and enterprise outcome agents within the performance and talent management domain, from customer discovery and requirements gathering through prototype creation, iteration, and launch.
- Partner directly with customers to understand business problems, workflows, pain points, and desired outcomes in performance management, goal-setting, and talent development.
- Translate customer needs into clear product requirements, use cases, and solution concepts that can quickly be tested and refined.
- Identify opportunities for new agents to complement existing ones in the portfolio, contributing to a cohesive experience as agents are increasingly deployed together.
- Build and evolve working prototypes using AI-native tools such as Lovable, Claude, Co-Pilot and similar rapid prototyping platforms, using prototypes as the new PRD motion so customers, FDEs, and engineering can review, test, and refine solutions directly.
- Collaborate closely with FDEs and engineering to validate feasibility, refine user flows, and prepare solutions for launch, working in tight feedback loops to confirm value and shape deliverable product capabilities.
- Drive cross-functional execution across product, engineering, design, data science, architecture, and go-to-market teams to bring validated concepts into production.
- Turn customer specific outcome agents into re-sellable out-of-the-box agents.
- Ensure launched outcome agents are practical, scalable, and easy for enterprise customers to…
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