AI PRODUCT MANAGER

Role overview

AI PRODUCT MANAGER at LambdaTest

B2B is where you will be most at home.

Clarity is not a soft skill in this role it is the job.

Responsibilities

• You will own a product surface end to end and rebuild how product management itself gets done here — using agents.
• Build and integrate AI agents into the existing platform, including MCPs, and prototype directly with Claude and other LLMs.
• Conduct deep user interviews and build continuous feedback loops with quality engineering teams, turning insights into shipped product improvements.
• You will also build agents into the product itself which means the thing you learn internally ships externally.

Employment details

• WFO 🕐 Full-Time
• Location: Noida [UP] [India]

Application details

• THE INTERVIEW LOOP

Additional role details

• AI Product Manager Product
• Agentic Quality Engineering 📍 Noida
• 2–4 Years THE MISSION We aren't automating scripts.
• We are deprecating the era of manual-heavy testing entirely.
• TestMu AI is building the world's first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle.
• We are shifting from building tools to training agents.
• The name "TestMu" comes from our community conference our users and our team are the heartbeat of what we build, not an audience.
• And while we build AI, we build it as a partner: AI augments human potential, it does not replace it.
• This role sits at the centre of that shift.
• THE PILLARS OF IMPACT 🚀 AI-Native Product Ownership Own a product surface end-to-end from discovery and solution design to production deployment and customer adoption.
• Build LLM-powered workflows that eliminate manual effort across the quality engineering lifecycle.
• Take ownership of product outcomes, not just requirements from defining the problem to shipping and improving the solution. ⚙️ Execution & Operational Excellence Drive sprint planning, remove engineering roadblocks, manage technical debt, and maintain a strong shipping cadence.
• Use product analytics to identify user drop-offs, uncover friction, and improve the overall product experience.
• Keep the roadmap, priorities, and execution transparent across engineering, sales, and other stakeholders. 🧠 Strategic Growth & Discovery Build and own the roadmap for your product surface from the ground up treating it like your own business, not a handed-down backlog.
• Stay close to customers, articulate why TestMu AI wins, and create the documentation and collateral that strengthens that story.
• WHAT AI GIVES YOU We have already removed around 60% of manual PM work here in the last six months across design, prototyping, and cognitive analysis.
• Our target is 80% fully agentic.
• You get Claude and full LLM tooling access from day one, budget for whatever else you need, and explicit permission to automate your own job.
• Anything you agent away, you keep as leverage.
• Nobody here will ask you to do manually what a well-built agent can do at 2am.
• THE BAR Signal: What you must prove Product depth.
• You have owned products end to end in a product role APM or PM, not an adjacent title.
• SaaS foundation.
• You have shipped in SaaS.
• AI in your hands, daily.
• You use LLMs as an operating system, not a feature.
• You can walk us through a workflow you built and shipped.
• Communication clarity.
• You will sit between engineering, sales, and customers.
• Extreme Ownership: Takes full accountability for outcomes, not just tasks.
• SCREENING FOR THE TOP 1% Round: What happens Round I
• Hiring Manager: Product discovery and the reasoning behind your prioritisation and roadmap decisions.
• Round II
• Product Lead: AI and execution how you use LLMs today, and what you have built from zero.
• Round III
• VP Engineering: Solving for scale technical debt, API and agent integration, communicating risk to stakeholders.
• Final
• Leadership: Vision alignment.
• Readiness to lead the move from manual-heavy testing to agentic intelligence.
• YOUR PATH Product Manager → Senior Product Manager → Product Lead.
• You move up when you own a surface end to end, lead sprint planning and customer calls, and hold product influence across a 5-10 person pod (influence, not headcount).
• Startup pace faster than the mid-size or enterprise equivalent.