Product

AI Product Manager

NoidaOn-siteFull timeMid2-4experienceProductteam

LT-0018 · posted 38 days ago · 2 minute read

The job

TestMu AI is redefining quality engineering by shifting from manual-heavy testing to an AI-native platform. You will own a product surface end-to-end, building AI-powered workflows and integrating AI agents to autonomously enhance the QE lifecycle. This role is pivotal in rebuilding product management using agents.

What you'll do

  • Own a product surface end-to-end from discovery through deployment, focusing on customer adoption.
  • Build and integrate AI agents, including MCPs, into our platform with LLMs like Claude.
  • Drive sprint planning, manage technical debt, and maintain a strong shipping cadence.
  • Use product analytics to identify and reduce user drop-offs, improving the product experience.
  • Conduct user interviews, create feedback loops, and translate insights into product improvements.

Requirements

  • You have owned products end-to-end in a product role such as APM or PM.
  • You have experience shipping in SaaS, ideally within a B2B context.
  • You use LLMs as an operating system and can demonstrate a workflow you've built and shipped.
  • You communicate with clarity across engineering, sales, and customer teams.
  • You take full accountability for outcomes, demonstrating extreme ownership.

Why this seat exists now

TestMu AI is in the midst of a rebrand and platform evolution from LambdaTest, focusing on agentic intelligence in quality engineering. The transition moves the load and value, creating a need for innovative product management.

How we'll interview

  • Round I · Hiring Manager: Discuss product discovery and roadmap decisions.
  • Round II · Product Lead: Focus on your use of LLMs and AI execution.
  • Round III · VP Engineering: Address scale, technical debt, API and agent integration.
  • Final · Leadership: Ensure your vision aligns with our shift 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.

Toolkit

AIproduct managementLLMsquality engineeringsprint planningagent integrationSaaS

Not sure you’re a fit?

Sophia reads your CV against this role and tells you honestly where you match and where you don’t — before you spend an hour on an application.