Overview

About JAGGAER:

JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries.JAGGAER is the leader in autonomous commerce, delivering AI-powered Source-to-Pay solutions that connect buyers, suppliers, and partners across the globe. JAI, our intelligence and execution layer, is the centrepiece of JAGGAER’s AI strategy: enabling procurement teams to work smarter, move faster, and drive measurable outcomes.

Our 1,200+ global employees are obsessed with ensuring customers get full value from our products—ultimately enhancing and transforming their businesses.

For more information, visit www.jaggaer.com

Job Title: Product Manager

Location: Hyderabad, India

Reports To: Director of Product Management, JAI

Type: Full-Time

About the Role

This role owns JAGGAER’s analytics and data products: the analytics and business intelligence suite, Bulk Data Export, and the next generation of data products we build for customers. These are established, revenue-generating capabilities with live commitments across the customer base, and they are being reshaped by AI faster than any other part of the platform.

The mandate is to define and deliver what those products become in an AI-first platform. That means insight that finds the customer rather than waiting to be asked for, including generated insight and anomaly detection across their spend. It means data products built for a customer’s own systems and agents to consume, not only for a person to read. And it means owning the trust layer underneath all of it, so that the answers our AI produces are accurate enough to put in front of a procurement executive.

You will work across the JAI portfolio, because the data and intelligence layer you own is what every agent and research capability in the product reasons over.

This is a strategy and delivery role in a single seat. You will set the direction, and you will be measured on what ships against it.

Principal Responsibilities

• Product ownership: Own the strategy, roadmap and delivery for the analytics and business intelligence suite, Bulk Data Export, and the data products built on them.
• AI-native insight capabilities: Define and deliver new AI capabilities in this space, including generated insight and anomaly detection across customer spend, taking them from concept through early access to general availability.
• Product direction: Define what analytics and data products become as AI absorbs them, including how customers consume data when their own systems and agents are the consumer rather than a person, and where the boundary sits between surfacing an insight and acting on it. Establish the product direction for agent-ready data delivery.

• Data trust and accuracy: Own the quality bar for the data and semantic models our AI reasons over: the definitions of core procurement measures, the evaluation approach that proves accuracy, and the standard a model must meet before it is used with a customer.

• Committed delivery: Meet the existing analytics, reporting and data export commitments already sold to customers, including those carried in active RFPs and renewals, and keep the install base on a clear roadmap.

• Cross-functional collaboration: Work closely with engineering, applied AI, UX, and the Experience, AgentOS and Deep Research product managers, so the data and intelligence layer serves the whole JAI portfolio rather than one surface.
• Market and customer insight: Validate problems and proposed capabilities directly with customers and prospects, and use that evidence to prioritise. Support analytics and data content in RFPs and executive briefings.
• Agile execution: Translate product requirements into clear, well-defined requirements and acceptance criteria for the engineering teams, and work with them through delivery.
• Metrics and performance: Define and report the KPIs for this scope, including adoption of the AI insight surfaces, accuracy against the evaluation set, and delivery against customer commitments.

Position Requirements

What You Will Bring

• 3+ years of product management experience in SaaS or enterprise software, including ow…