Principal Product Manager
Cornerstone OnDemand
Date: 3 weeks ago
City: Hyderabad, Telangana
Contract type: Full time
We're looking for a Principal Product Manager This role is Office Based, Hyderabad Office
Principal Product Manager – Labor Market Intelligence
About The Role
Cornerstone's Intelligence+ portfolio is building the workforce intelligence layer for the world's largest organizations — connecting skills, roles, people, and external labor market data into a single decision-making fabric. At the heart of this is a family of analytics and insight products that turn complex, multi-source data into trusted answers for enterprise leaders.
We're looking for a Principal Product Manager to bring Labor Market Intelligence (LMI) into the heart of our workforce intelligence product — owning how labor market data and models become customer-facing analytics, visualization, and decision experiences across the Intelligence+ platform. You'll work in close partnership with the data science team that owns the underlying LMI models.
This is a senior IC role for a PM who has built data analytics products — not just shipped software. You know what it takes to earn user trust in a number on a screen: data quality, methodology transparency, the right visualization for the right question, and AI/ML that is explainable rather than magical.
In this role you will...
You'll own a product with direct executive visibility, an enterprise customer base, and a central role in Cornerstone's AI strategy — shaping how enterprises understand and act on their workforce and the market around it.
Our Culture
Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.
Who We Are
At Cornerstone, we believe in AI that works in the service of people, amplifying their judgment to drive high-performing, future-ready organizations forward. Cornerstone Workforce AI, the intelligence platform for workforce readiness, brings together workforce and labor market data into a proprietary Cornerstone People Graph, translating signals into intelligence, targeting learning where it matters, developing critical skills, and surfacing hidden talent. Delivered as an open, enterprise platform across whatever application your people work in every day, Cornerstone Workforce AI is built for scale, security, and trust, with certified AI guardrails. As an industry leader, Cornerstone is helping approximately 7,000 organizations, 140M+ users, across 186 countries build continuous workforce readiness.
Check us out on LinkedIn , Comparably , Glassdoor , and Facebook !
Principal Product Manager – Labor Market Intelligence
About The Role
Cornerstone's Intelligence+ portfolio is building the workforce intelligence layer for the world's largest organizations — connecting skills, roles, people, and external labor market data into a single decision-making fabric. At the heart of this is a family of analytics and insight products that turn complex, multi-source data into trusted answers for enterprise leaders.
We're looking for a Principal Product Manager to bring Labor Market Intelligence (LMI) into the heart of our workforce intelligence product — owning how labor market data and models become customer-facing analytics, visualization, and decision experiences across the Intelligence+ platform. You'll work in close partnership with the data science team that owns the underlying LMI models.
This is a senior IC role for a PM who has built data analytics products — not just shipped software. You know what it takes to earn user trust in a number on a screen: data quality, methodology transparency, the right visualization for the right question, and AI/ML that is explainable rather than magical.
In this role you will...
- Own how the Labor Market Intelligence offering is embedded into the workforce intelligence product — shaping the roadmap for LMI-powered experiences from data ingestion through customer-facing analytics.
- Partner with data science on ML models, taxonomy mapping, normalization, and inference — defining evaluation criteria and making explainability a product requirement, not an afterthought.
- Collaborate with product teams across the portfolio to bring labor market signal into their own surfaces and workflows.
- Design insight and visualization experiences that make complex workforce and market data legible and decision-ready.
- Define the analytics measurement framework for the product itself: adoption, insight quality, and demonstrable customer value.
- Work directly with enterprise customers to shape requirements, run pilots, and convert feedback into product direction.
- Drive GTM readiness with field enablement, packaging, and positioning — including consultative, services-led delivery models.
- Operate as an internal and external thought leader on data-driven decision making and AI-powered workforce intelligence.
- 8+ years of product management experience with wide-ranging expertise, operating at Principal/Lead scope — you determine methods and approaches on new initiatives independently and guide the work of others.
- Demonstrated experience building data analytics and visualization products — BI, people analytics, market intelligence, or similar — where the data itself was the product.
- Genuine AI/ML product depth: you've shipped features built on models, worked with data scientists on training data, evaluation, and inference quality, and can reason about tradeoffs between deterministic and probabilistic approaches.
- Experience limited to managing a standard software development lifecycle is not sufficient for this role.
- Strong personal analytical fluency — you can pull the data yourself, sanity-check a methodology, and challenge a dashboard's framing.
- Experience with enterprise B2B customers, including executive-level stakeholder management
- Excellent written communication — PR/FAQs, customer narratives, and technical specs with equal fluency.
- Hands-on, daily use of AI tools — LLMs, AI coding assistants, and agentic workflows — to prototype, analyze data, and ship faster; you model AI-native ways of working and raise the bar for how the team builds.
- Comfort with ambiguity and a bias toward building: you'd rather put a working prototype in front of a customer than a slide.
- Experience with LLM-based features and agentic product experiences.
- Prior experience in HCM, talent intelligence, or people analytics platforms.
- Exposure to compliance considerations for AI products (EU AI Act, data privacy).
You'll own a product with direct executive visibility, an enterprise customer base, and a central role in Cornerstone's AI strategy — shaping how enterprises understand and act on their workforce and the market around it.
Our Culture
Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.
Who We Are
At Cornerstone, we believe in AI that works in the service of people, amplifying their judgment to drive high-performing, future-ready organizations forward. Cornerstone Workforce AI, the intelligence platform for workforce readiness, brings together workforce and labor market data into a proprietary Cornerstone People Graph, translating signals into intelligence, targeting learning where it matters, developing critical skills, and surfacing hidden talent. Delivered as an open, enterprise platform across whatever application your people work in every day, Cornerstone Workforce AI is built for scale, security, and trust, with certified AI guardrails. As an industry leader, Cornerstone is helping approximately 7,000 organizations, 140M+ users, across 186 countries build continuous workforce readiness.
Check us out on LinkedIn , Comparably , Glassdoor , and Facebook !
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