Senior Product Manager

Luna Bearings; Hyderabad, Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Luna Bearings is seeking a Senior Product Manager to lead the strategy and execution for our AI-powered skills platform. You will own products at the intersection of AI-driven experiences and skills intelligence, helping organizations understand workforce capabilities and close skill gaps at scale.

In this role you will partner with engineering, data science, design, and go-to-market teams to ship products that make learning smarter, more personalized, and measurably effective.

Qualifications

• 6-8 years of product management experience with 2+ years in senior or lead roles.
• Experience shipping SaaS or platform products, especially in AI/Talent tech.
• Hands-on familiarity with LMS and learning ecosystems.

Responsibilities

• Own the product vision, strategy, and roadmap for skills capabilities from discovery to launch.
• Define AI product strategy including personalized learning paths and recommendations.
• Translate market needs into prioritized backlogs and actionable initiatives for engineering.
• Collaborate with data science/ML teams to build models for skills mapping and adaptive learning.
• Lead the Skills product surface: delivery, paths, assessments, reporting, and integrations.
• Conduct customer discovery and usability research to validate direction and opportunities.
• Define success metrics and instrument products to demonstrate impact.
• Partner with design/marketing/sales/customer success to drive adoption and GTM readiness.
• Communicate strategy and progress clearly to leadership and stakeholders.

Skills

Product strategy

Roadmap planning

SaaS products

AI/ML features

Cross-functional collaboration

Stakeholder management

Learning platforms

Metrics & analytics

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 oftheir 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.

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