Allerin builds production AI for enterprises, agentic systems, computer vision, machine learning, and analytics that run in the real world and are measured on real numbers. Our engineering team ships systems like automated defect detection, license plate recognition, and AI-driven analytics for
manufacturing, logistics, retail, and public safety. When we publish a case study, it says things like "false positives down 85 percent", because our clients measure whether it works, and so do we.

We are hiring a Product Manager to own one of our AI products end to end, the problem, the users, the roadmap, and the release. This is a hands-on product role at a company that runs several bets at once, so the product you own will evolve. What will not change is the nature of the work: hard,
technical, and real.

AI products fail differently from ordinary software. A model can be right 80 percent of the time while the client expects to go live next week. The judgment calls in that gap, what ships, what waits, what needs a guardrail, are the core of this job.

What you will do
Own an AI, ML,



or computer-vision product end to end: problem, users, roadmap, release
Set the KPI a release has to move, and hold the gate when it does not transparent it
Write specs engineers trust, and reason credibly about architecture, cost, and latency
Design for the failure modes, not just the demo: edge cases, false positives, the long tail
Ship against evals and real metrics, and build the guardrails that make a demo enterprise-ready
Tie the work to numbers the business actually feels, and report honestly on what is on track

What we look for
The judgment to know what to build, and the honesty to kill your own idea when the data says so
A real understanding that AI systems are probabilistic, not features that simply work or do not
The habit of prototyping your own ideas with AI tools instead of delegating every question
Plain, direct communication, especially when something is slippin

📌 Product Manager Navi Mumbai
🏢 Allerin
📍 Navi Mumbai