Product@Lenskart - HRTech & AI-Native Platform

Lenskart.com; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Lenskart.com is seeking a Product Manager for an HRTech & AI-Native Platform to translate workforce challenges into measurable product outcomes.

You will own the journey from discovery through launch, write clear requirements and acceptance criteria, and work with engineering, HR and business partners to deploy AI-powered workflows.

Qualifications

• 3-5 years of core product management experience.
• Ability to work with diverse stakeholders including engineers and business leaders.
• Comfort with APIs, data models and system reliability.
• Interest in AI-enabled workflows and enterprise platforms.

Responsibilities

• Own discovery to launch and iteration of HRTech & AI-Native platform.
• Write PRDs, user stories, data contracts and acceptance criteria.
• Collaborate with engineering, data, security and IT teams.
• Define instrumentation and measure outcomes with evidence.

Skills

APIs

Data flows

System reliability

Product analytics

AI/LLM concepts

Tools

HRMS

ATS

CRM

Job description

Product Manager : HRTech & AI-Native Platform

What you’ll do

Discover the real problem

• Work 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 world

• Own 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 data

• Collaborate 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 measurable

• Identify 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 execution

• Prioritise 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 you

• Have 3-5 years of Core product management experience
• Are 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 for

You do not need to be an engineer, but you should be comfortable with several of the following:

• REST APIs, webhooks and system integrations
• Relational data models and basic SQL
• Identity, roles and permissions
• Event-driven workflows and automation
• Product analytics and experimentation
• AI/LLM concepts such as retrieval, evaluation, grounding and Evals
• Security, privacy and data-residency considerations
• Enterprise platforms such as HRMS, ATS, payroll, CRM or workflow systems

What you can expect from this role

• Real 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 apply

You 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.