Product Manager

This Product Manager role focuses on building an ML platform and enterprise AI products. You will bridge the gap between custom consulting solutions and scalable, multi-tenant software features.

What you’d own

ML platform, enterprise AI products, and AI control plane
Translating ambiguous business challenges into reusable product features
Defining requirements for LLM, RAG, and agentic workflows
Tracking performance metrics like latency and task completion accuracy

Who it’s for

A fit if you…

✓5+ years of experience in enterprise software, SaaS, or developer tools
✓Technical depth in software architecture, APIs, and backend infrastructure
✓Direct experience with LLMs, RAG frameworks, or prompt systems
✓Proven ability to take products from 0-to-1 in multi-stakeholder environments

Not for you if…

✗You prefer well-defined requirements over translating ambiguous client needs
✗You prefer consumer-facing apps over complex enterprise infrastructure and data platforms
✗You prefer a non-technical role without involvement in architecture or SDLC

Reading between the lines

The 'Consulting-to-Product' transition suggests you will be turning one-off custom projects into standardized features.
The mention of 'ruthless prioritization' and 'ambitious environment' implies a high-pressure, fast-paced execution style.

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Full job description

What You’ll Do

Define Product Vision & Roadmap: Own the product strategy, roadmap, and core positioning for Korza.ai http://Korza.ai’s ML platform, enterprise AI products, and AI control plane.

Drive Consulting-to-Product Transition: Partner with enterprise client teams to translate ambiguous business challenges into scalable, multi-tenant platform features and reusable AI products.

Architect AI-First User Experiences: Translate complex LLM, RAG, and agentic workflows into intuitive product requirements (PRDs), specifications, and functional end-to-end user journeys.

Cross-Functional Leadership: Collaborate directly with AI/ML engineers, technical project managers, designers, and business leaders to drive rapid, high-impact product releases.

Data & Metrics Ownership: Define and track product performance metrics (adoption, latency, task completion accuracy, retention) to continuously iterate and optimize product utility.

What We’re Looking For

Product Management Mastery: 5+ years of product management experience shipping enterprise software, SaaS, developer tools, or data platforms.

Technical & Architecture Depth: Strong understanding of modern software architecture, APIs, enterprise SDLC, and backend infrastructure.

AI/ML Technical Exposure: Functional expertise or direct experience with Large Language Models (LLMs), RAG frameworks, prompt systems, or agent-based workflows.

Enterprise Product Delivery: Proven track record of taking products from 0-to-1 and managing complex, multi-stakeholder enterprise requirements.

Problem-Solving & Agility: Ability to bring structure to ambiguous problems, prioritize ruthlessly, and thrive in an ambitious, fast-paced hub environment.

Why Join Us

Real AI Product Impact: Work on genuine AI products and complex systems that serve global Fortune 100–1000 clients across the US, UK, and Europe.

Shape the SDLC Future: Participate in defining the future of AI-driven software development by turning real-world enterprise learnings into next-generation AI platforms.

Core Ownership: Be a pivotal member of our core hub in Bangalore, taking deep ownership in a high-growth, high-talent-density engineering environment.

About Korza

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Korza is an AI-native services company that combines engineering, product management and business consulting to build custom AI applications, agents and data platforms for its clients. Most of its work is with leadership teams at private equity-owned businesses that want to transform operations quickly. Founded in 2026 by Roy Singh, formerly head of AI at Bain, and Zack Kass, formerly of OpenAI, it reports about 80 people and 15 clients. The team mixes engineers from Google, AWS and Microsoft with consultants from McKinsey, BCG and Bain, and product managers sit alongside both from definition through delivery.

AI & Machine LearningEnterprise Software