Product Owner, India

• Location: Bangalore, India
• Level: Early career (typically 1 to 5 years)
• Team: Product Management, reporting to US-based product executive, working with our India-based engineering pods
• Work mode: onsite in Bangalore
• Employment: full-time

About the Role

We are looking for a Product Owner who builds with AI every day to be the day-to-day product link to our engineering pods in India. At Emergence, engineers work with AI agents that do much of the building, testing and shipping. Your job is to make sure the pods build the right thing and that it works. You turn customer signals into clear specs, keep the evals and acceptance criteria that define "done", and check what the pods ship before it reaches customers. This is a role for someone at this experience level who wants to learn and apply product management in a team that works this way.

You will learn and practice product management the way it is done in AI-first teams, owning real product work from day one, with a senior product lead who mentors you and signs off releases. In your first months, success looks like running sprint planning and the demo review for your pods, every open item having an owner and a status that matches what is merged, and acceptance criteria and release evidence a senior lead can sign off without rework.

You'll be doing: 

• Turn customer requests, support tickets, notes from our Solutions team and usage data into short, clear briefs that say what to build and why, for engineers and their agents.

• Write and maintain eval sets and acceptance criteria that define "done", for features and for non-functional needs such as security, data handling and reliability, stated as outcomes rather than implementation, and help a senior product lead scope engineering studies.

• Test and verify what the pods ship against those criteria, and help gather the evidence a release needs before a senior product lead signs it off.

• Keep Jira and our Confluence pages accurate: check ticket status against what is actually merged, record decisions, risks and dependencies, and make sure every open item has an owner.

• Run sprint planning and the weekly demo review for your pods, and prepare short updates and presentations for stakeholders.

• Build quick prototypes with AI coding tools to show what a feature should do before the build starts.

• Work across time zones with product, design, engineering and solutions colleagues in India, the US and Europe.

You'll Have:

• Typically 1 to 5 years of experience in product, engineering, data, QA or a technical consulting role; graduates with relevant project or internship work are welcome.

• You use AI tools daily (for example Claude, ChatGPT, Cursor or similar) to prototype, write, analyze and automate, and you can talk us through what you've built.

• Comfortable reading code and pull requests, and working with APIs, data, SQL and simple scripts (Python a plus).

• Clear written and spoken English; you write short, precise specs.

• Curious, structured and detail-minded; you check your own work and others'.

• Able to overlap a few hours a day with US and European colleagues within a normal working day ([typical IST window to confirm]); we shift hours rather than extend them.

• Bachelor's degree in engineering, computer science or a related field, or equivalent experience.

• You take ownership: you follow through, raise problems early and help your teammates succeed.

Bonus Points: 

• Things you have built with AI, at work, in your studies or on your own (a description is fine where the work is confidential).

• Experience writing tests, evals or prompts for LLM-based applications.

• Exposure to manufacturing, semiconductors or industrial data (for example test, yield or wafer data).

• Experience with data science or multi-agent AI systems.

• Experience working with distributed teams or customers across countries and time zones.

About Emergence

Emergence AI is a frontier agentic AI lab advancing safe, autonomous AI through its pioneering Neuroformal architecture. We are building the next generation of enterprise AI: systems capable of understanding complex knowledge, reasoning across information, executing multi-step workflows, and taking action with the verifiability and reliability required for mission-critical environments.

Our Enterprise Agent Platform provides the foundation for building, deploying, and operating AI systems in production — from data connectivity and knowledge management to workflow orchestration, observability, evaluation, and governance. We partner with organizations in semiconductor manufacturing, life sciences, and other data-intensive industries to solve complex challenges that require trusted AI systems capable of operating in real-world environments.

Our team brings experience from leading AI research labs and technology companies, including IBM Research, The Allen Institute for AI, Amazon, and Broadcom. With headquarters in New York and offices across California, Spain, and India, we bring together diverse expertise and perspectives to tackle some of the most challenging problems in enterprise AI.