Senior Product Manager

Cornerstone OnDemand; Pune District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Cornerstone OnDemand in Pune, India, is seeking a Senior Product Manager to lead strategy and execution for our AI-powered skills platform. You will own products at the intersection of AI experiences, skills intelligence, and learning outcomes, partnering with engineering, design, data science, and go-to-market teams to ship impactful features.

You will define product vision and roadmaps for skills capabilities, drive AI strategies including personalized learning paths, and collaborate with data

Qualifications

• 6-8 years of product management experience, including 2+ years in a senior or lead capacity, ideally shipping SaaS or platform products.
• Direct experience building products in the Skills, AI, Talent technology space — with hands-on familiarity with Learning Management Systems (LMS) and related learning ecosystems.
• Demonstrated experience shipping AI/ML-powered features and a working understanding of how to scope, evaluate, and productionize models (personalization, recommendations, NLP, or generative AI).
• Strong grasp of skills frameworks, competency models, or skills-based talent strategies and how they map to product experiences.
• Proven ability to translate complex, ambiguous problems into clear product strategy and executable roadmaps.
• Fluency with product analytics and a data-informed approach to decision-making and prioritization.
• Excellent communication and stakeholder management skills, with the ability to influence without authority across technical and non-technical audiences.
• A customer-obsessed mindset backed by a track record of discovery and research driven product development.

Responsibilities

• Own the product vision, strategy, and roadmap for our skills capabilities, from discovery through launch and iteration.
• Define and drive the AI product strategy — including personalized learning paths, content recommendations, skills inference, and generative/agentic features.
• Translate customer and market needs into clear requirements, prioritized backlogs, and well-scoped initiatives that engineering teams can execute against.
• Partner with data science and ML teams to build and refine models for skills mapping, competency assessment, and adaptive learning experiences.
• Lead the Skills product surface — course delivery, learning paths, assessments, reporting, admin workflows, and integrations with the broader LXP/LMS ecosystem.
• Conduct customer discovery, usability research, and win/loss analysis to validate direction and uncover opportunities.
• Define success metrics, instrument products for measurement, and use data to inform decisions and demonstrate impact.
• Collaborate cross-functionally with design, marketing, sales, and customer success to drive adoption and go-to-market readiness.
• Communicate strategy, trade-offs, and progress clearly to leadership and stakeholders across the organization.

Skills

Product strategy

Roadmapping

AI/ML features

Stakeholder management

Data-driven decision making

Job description

Senior Product Manager

About the Role

We're looking for a Senior Product Manager to lead the strategy and execution for our skills and AI platform. In this role you'll own products at the intersection of AI-powered experiences and skills intelligence — helping organizations understand the capabilities of their workforce and close skill gaps at scale. You'll partner closely with engineering, design, data science, and go-to-market teams to ship products that make learning smarter, more personalized, and measurably effective. This is a high-impact role for someone who is energized by ambiguous, fast-moving spaces and wants to shape how AI transforms how people learn and grow.

In this Role you will ..

• Own the product vision,strategy, and roadmap for our skills capabilities, from discovery throughlaunch and iteration.

• Define and drive the AIproduct strategy — including personalized learning paths, contentrecommendations, skills inference, and generative/agentic features — balancinguser value, technical feasibility, and responsible AI practices.

• Translate customer andmarket needs into clear requirements, prioritized backlogs, and well-scopedinitiatives that engineering teams can execute against.

• Partner with data scienceand ML teams to build and refine models for skills mapping, competencyassessment, and adaptive learning experiences.

• Lead the Skills productsurface — course delivery, learning paths, assessments, reporting, adminworkflows, and integrations with the broader LXP/ LMS ecosystem.

• Conduct customer discovery,usability research, and win/loss analysis to continuously validate directionand uncover new opportunities.

• Define success metrics,instrument products for measurement, and use data to inform decisions anddemonstrate impact.

• Collaboratecross-functionally with design, marketing, sales, and customer success to driveadoption and ensure go-to-market readiness.

• Communicate strategy,trade-offs, and progress clearly to leadership and stakeholders across theorganization.

You've got what it takes if you have

• 6-8 years of product management experience, including 2+years in a senior or lead capacity, ideally shipping SaaS or platform products.

• Direct experience building products in the Skills, AI,Talent technology space — with hands-on familiarity with Learning ManagementSystems (LMS) and related learning ecosystems.

• Demonstrated experience shipping AI/ML-powered featuresand a working understanding of how to scope, evaluate, and productionize models(personalization, recommendations, NLP, or generative AI).

• Strong grasp of skills frameworks, competency models, orskills-based talent strategies and how they map to product experiences.

• Proven ability to translate complex, ambiguous problemsinto clear product strategy and executable roadmaps.

• Fluency with product analytics and a data-informedapproach to decision-making and prioritization.

• Excellent communication and stakeholder managementskills, with the ability to influence without authority across technical andnon-technical audiences.

• A customer-obsessed mindset backed by a track record ofdiscovery and research driven product development.

#LI-Onsite

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at [e-mail]