Product@Lenskart - HRTech & AI-Native Platform

Product Manager : HRTech & AI-Native Platform

What you’ll doDiscover the real problemWork directly with employees, store managers, recruiters, HR teams, business leaders and engineers.Absorb inputs from multiple stakeholders without treating every suggestion as a requirement.Separate symptoms, preferences and edge cases from the underlying problem.Use workflow observation, data and root-cause analysis to understand where work actually breaks.Convert ambiguous business problems into clear product hypotheses and measurable outcomes.Build products that work in the real worldOwn the journey from discovery and product definition through launch, adoption and iteration.Write clear product requirements, user stories, process flows, data contracts and acceptance criteria.Design for different workforce contexts—frontline, manufacturing, corporate, Tech/Product and new markets.Make thoughtful build, buy, integrate, extend and retire recommendations.Protect the global product core while accounting for legitimate country, policy and operational differences.Work deeply with technology and dataCollaborate closely with engineering, architecture, data, security and enterprise IT teams.Understand APIs, system integrations, identity, data models, events, permissions and failure scenarios.Use SQL, analytics tools or structured data exploration to answer product questions independently.Define instrumentation before launch and use evidence not anecdotes to assess outcomes.Challenge point-to-point fixes that create long-term complexity or operational risk.Consider reliability, privacy, security and scalability part of the product—not post-launch checklists.Make AI useful, trusted and measurableIdentify problems where AI can materially improve speed, quality or cost not simply add an AI label.Help develop grounded assistants, intelligent workflows and automation.Define evaluation datasets, quality thresholds, escalation paths and human accountability.Measure successful task completion, outcome quality, time saved, cost per successful task and user trust.Stop or redesign AI use cases that do not meet quality, fairness, security or economic thresholds.Drive decisions and executionPrioritise ruthlessly across user pain, business value, risk, effort and strategic fit.Align senior stakeholders without relying on endless meetings or consensus.Surface trade-offs early and communicate decisions clearly.Work through dependencies and operational constraints to get products shipped.Stay close to adoption after launch and take ownership of business outcomes—not merely feature delivery.

You’ll thrive here if youHave 3–5 years of Core product management experienceAre street-smart and resourceful: you can make progress even when the process, ownership or data is imperfect.Are intellectually curious and willing to go several layers deeper than the initial request.Can process conflicting inputs without becoming paralysed or turning the roadmap into a stakeholder wish list.Have strong product judgment and know when to use research, data, first principles or a fast experiment.Are technically fluent enough to have meaningful conversations about APIs, data flows, integrations, identity and system reliability & can get your hands dirty when required to build.Can communicate equally well with an engineer, an HR operations specialist, a store manager and a senior executive.Prefer solving a meaningful problem over shipping a fashionable feature.Technical comfort we’re looking forYou do not need to be an engineer, but you should be comfortable with several of the following:REST APIs, webhooks and system integrationsRelational data models and basic SQLIdentity, roles and permissionsEvent-driven workflows and automationProduct analytics and experimentationAI/LLM concepts such as retrieval, evaluation, grounding and EvalsSecurity, privacy and data-residency considerationsEnterprise platforms such as HRMS, ATS, payroll, CRM or workflow systemsWhat you can expect from this roleReal ownership, not backlog administration.Problems that sit at the intersection of people, technology and global scale.Space to experiment with AI, with clear expectations around evidence and responsibility.A high-learning environment where curiosity, speed and depth are valued.A note before you applyYou do not need to match every bullet. We care more about how you think, learn and operate than whether your previous job title was perfect.