Senior Product Manager - AI-First Learning, Careers & Apprenticeships

About Hero Vired:

Would you like to be part of an exciting, innovative, and high-growth startup from one of the largest and most well-respected business houses in the country - the Hero Group

Hero Vired is a premiumlearning experience offeringindustry-relevant programs and world-class partnerships, to create the change-makers of tomorrow.

At Hero Vired,we believe everyoneis made of big things.With the experience, knowledge, and expertise of the Hero Group, Hero Vired is on a mission to change the way we learn. Hero Vired aims to give learners the knowledge, skills, and expertise throughdeeply engaged and holistic experiences, closely mapped with industry to empower them to transform their aspirations into reality. The focus will be on disrupting and reimagining university education & skilling for working professionals by offering high-impact online certification and degree programs.

The illustrious and renowned US$5 billion diversified Hero Group is a conglomerate of Indian companies with primary interests and operations in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. The Hero Group (BML Munjal family) companies include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University.

For detailedinformation, visit HeroVired

Role: Senior Product Manager – AI-First Learning, Careers & Apprenticeships

Experience: 6 to 10 years

Location: Gurugram Sector 42

Employment Type: Full-Time

Mode of Work: Work from Office

Department: Product

About the Role

We are looking for a Senior Product Manager to build and scale an AI-first Learning, Careers and Apprenticeship ecosystem. The role will own the learner journey across: Career Discovery → Skill Gaps → Learning → Practice → Proof of Work → Career Guidance → Apprenticeship → Job Readiness → Employment

This is a hands-on product-building role. The candidate will be expected to identify user problems, prototype solutions using AI tools, write PRDs, collaborate closely with Design & Engineering, analyse product data, launch products and iterate rapidly. The role requires someone who can take products from 0 → 1 → Product-Market Fit → Scale.

Key Responsibilities

1. AI-First Learning

Build AI-native learning experiences that improve learner engagement, personalisation and outcomes.

Key areas include:

• AI Tutors and conversational learning
• Personalised learning paths and study plans
• AI-powered doubt resolution and concept explanations
• Adaptive assessments and practice
• AI-generated projects, questions and learning content
• Automated feedback and personalised interventions
• Learner progress, engagement and retention

2. Free & Paid Learning

Build and improve learning experiences across Free and Paid products.

Free Learning:

• Courses, micro-learning and content discovery
• Skill assessments and skill-gap identification
• AI-powered learning tools
• Career discovery and recommendations
• Learner profiles and progress
• Engagement, retention and free-to-paid conversion

Paid Learning:

• Learner onboarding and personalised journeys
• Live/asynchronous learning
• AI Tutors/Copilots
• Assignments, assessments and projects
• Learning dashboards and cohort experiences
• Engagement, completion and career readiness
• Transition from learning to employment

3. AI-First Careers

Build a Career Operating System that understands learner skills, education, learning history, aspirations and job readiness.

Key areas include:

• AI Career Coach and personalised career guidance
• Career discovery and role recommendations
• Skill-gap analysis and learning recommendations
• AI resume creation and evaluation
• Portfolio/proof-of-work creation
• AI mock interviews and interview preparation
• Communication and technical assessments
• Job-readiness assessment and improvement plans
• Intelligent opportunity matching

The product should connect: Learner Skills × Career Intent × Learning Progress × Employer Requirements × Opportunities

4. Apprenticeships & Work-Integrated Learning

Build an ecosystem connecting: Learning → Practice → Real Work → Employment

Learner experience:

• Apprenticeship discovery and recommendations
• Eligibility and skill matching
• Applications, assessments and interview preparation
• Onboarding and application tracking
• Learning plans, mentoring and project tracking
• Feedback, evaluation and proof of work
• Conversion to full-time employment

Employer experience:

• Define apprenticeship requirements
• Candidate identification and shortlisting
• Skills/assessment-based evaluation
• AI-assisted screening
• Cohort and project management
• Performance tracking and feedback
• Identification of high-performing candidates for employment

Product Ownership & Execution

The Senior PM will:

• Identify customer and learner problems
• Conduct user and market research
• Analyse behavioural and product data
• Define product strategy and solutions
• Build prototypes and validate concepts
• Write detailed PRDs
• Partner closely with Design & Engineering
• Make product and technical trade-offs
• Launch, measure and iterate products
• Own product adoption, engagement and business outcomes

The expectation is for the PM to be close to the product every day, not limited to roadmap management or stakeholder coordination.

Mandatory AI Capability

Hands-on AI experience is mandatory. Candidates should have practical exposure to:

• LLMs
• Prompt Engineering
• AI Agents
• RAG
• Model APIs
• AI Workflows
• Structured Outputs
• AI Evaluation
• AI Prototyping
• No-code / Low-code AI tools

The candidate need not be an ML Engineer but should understand AI capabilities and limitations well enough to prototype solutions independently and have strong technical conversations with Engineering. Candidates should be able to demonstrate AI products, prototypes or experiments they have personally built.

Key metrics may include:

Learning: Activation, WAU/MAU, repeat learning, course completion, AI usage, assessments and free-to-paid conversion.

Paid Programs: Engagement, assignment/assessment completion, AI Tutor usage, cohort engagement, program completion, NPS and learning outcomes.

Careers: Career profile completion, AI Career Coach engagement, resumes, mock interviews, job-readiness improvement, applications, interview conversion and placement outcomes.

Apprenticeships: Applications, shortlist conversion, onboarding/completion, employer engagement, apprentice performance and apprenticeship-to-job conversion.

Candidate Profile – Must Have

• 6–10 years of Product Management experience
• Strong experience building consumer-facing digital products
• Strong product execution and ownership
• Experience owning product metrics and funnels
• Strong user-centric problem-solving ability
• Experience working closely with Design and Engineering
• Experience taking products from concept to production
• Experience in 0-to-1 / ambiguous environments
• Strong understanding of user behaviour and product analytics
• Demonstrable hands-on experience with AI/LLM products or prototypes
• Ability to independently experiment with AI tools

Relevant Backgrounds

Experience in: EdTech | Consumer Internet | AI Products | HRTech | Careers | Marketplaces Candidates from other consumer product categories may also be considered if they demonstrate strong product-building and AI capabilities.

What We Are Looking For

We are looking for a builder, not just a coordinator.

The ideal candidate should:

• Think from first principles
• Be highly hands-on with product and AI
• Build and test prototypes quickly
• Be comfortable with ambiguity
• Make data-driven product decisions
• Work closely with users, Design and Engineering
• Own outcomes rather than just deliverables
• Move quickly from problem → prototype → launch → learn → iterate