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 HeroViredRole: Senior Product Manager – AI-First Learning, Careers & ApprenticeshipsExperience: 6 to 10 years Location: Gurugram Sector 42

Employment Type: Full-TimeMode of Work: Work from Office

Department: ProductAbout the RoleWe 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 → EmploymentThis 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 Responsibilities1. AI-First LearningBuild AI-native learning experiences that improve learner engagement, personalisation and outcomes.Key areas include:AI Tutors and conversational learningPersonalised learning paths and study plansAI-powered doubt resolution and concept explanationsAdaptive assessments and practiceAI-generated projects, questions and learning contentAutomated feedback and personalised interventionsLearner progress, engagement and retention2. Free & Paid LearningBuild and improve learning experiences across Free and Paid products.Free Learning:Courses, micro-learning and content discoverySkill assessments and skill-gap identificationAI-powered learning toolsCareer discovery and recommendationsLearner profiles and progressEngagement, retention and free-to-paid conversionPaid Learning:Learner onboarding and personalised journeysLive/asynchronous learningAI Tutors/CopilotsAssignments, assessments and projectsLearning dashboards and cohort experiencesEngagement, completion and career readinessTransition from learning to employment3. AI-First CareersBuild a Career Operating System that understands learner skills, education, learning history, aspirations and job readiness.Key areas include:AI Career Coach and personalised career guidanceCareer discovery and role recommendationsSkill-gap analysis and learning recommendationsAI resume creation and evaluationPortfolio/proof-of-work creationAI mock interviews and interview preparationCommunication and technical assessmentsJob-readiness assessment and improvement plansIntelligent opportunity matchingThe product should connect: Learner Skills × Career Intent × Learning Progress × Employer Requirements × Opportunities4. Apprenticeships & Work-Integrated LearningBuild an ecosystem connecting: Learning → Practice → Real Work → EmploymentLearner experience:Apprenticeship discovery and recommendationsEligibility and skill matchingApplications, assessments and interview preparationOnboarding and application trackingLearning plans, mentoring and project trackingFeedback, evaluation and proof of workConversion to full-time employmentEmployer experience:Define apprenticeship requirementsCandidate identification and shortlistingSkills/assessment-based evaluationAI-assisted screeningCohort and project managementPerformance tracking and feedbackIdentification of high-performing candidates for employmentProduct Ownership & ExecutionThe Senior PM will:Identify customer and learner problemsConduct user and market researchAnalyse behavioural and product dataDefine product strategy and solutionsBuild prototypes and validate conceptsWrite detailed PRDsPartner closely with Design & EngineeringMake product and technical trade-offsLaunch, measure and iterate productsOwn product adoption, engagement and business outcomesThe expectation is for the PM to be close to the product every day, not limited to roadmap management or stakeholder coordination.Mandatory AI CapabilityHands-on AI experience is mandatory. Candidates should have practical exposure to:LLMsPrompt EngineeringAI AgentsRAGModel APIsAI WorkflowsStructured OutputsAI EvaluationAI PrototypingNo-code / Low-code AI toolsThe 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 Have6–10 years of Product Management experienceStrong experience building consumer-facing digital productsStrong product execution and ownershipExperience owning product metrics and funnelsStrong user-centric problem-solving abilityExperience working closely with Design and EngineeringExperience taking products from concept to productionExperience in 0-to-1 / ambiguous environmentsStrong understanding of user behaviour and product analyticsDemonstrable hands-on experience with AI/LLM products or prototypesAbility to independently experiment with AI toolsRelevant BackgroundsExperience 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 ForWe are looking for a builder, not just a coordinator.The ideal candidate should:Think from first principlesBe highly hands-on with product and AIBuild and test prototypes quicklyBe comfortable with ambiguityMake data-driven product decisionsWork closely with users, Design and EngineeringOwn outcomes rather than just deliverablesMove quickly from problem → prototype → launch → learn → iterate