Product Manager, Data Platform (Data Access & Integration)

Overview

Product Manager for the data access and integration experience of Guidewire's Data Platform, focused on how data gets into the platform. Works with engineers, architects and UX to take ingestion capabilities from idea to launch.

What you'll do

• Partner with one or more engineering teams from ideation through launch of data ingestion and integration capabilities.
• Gather and write clear product requirements from a user and functional perspective, with scope and acceptance criteria engineering can build against.
• Take part in feature-level design sessions with engineers, architects and UX.
• Work through ambiguity and bring clarity to the problem so the team can find creative solutions.
• Manage dependencies across teams and keep features on schedule.
• Build consensus on priorities and keep your team's work aligned with the Data Platform and Analytics roadmap.
• Define and analyze the metrics that show whether your products succeed.
• Learn customers' goals and challenges so they adopt our data products successfully.
• Help customers, QA, support and sales with questions about our cloud-native data infrastructure.
• Triage, prioritize and respond to customer issues and escalations.

What you'll need

• 2+ years of product management experience.
• 2+ years working with the architecture and security of cloud solutions.
• Conceptual knowledge of the big data ecosystem and the AWS landscape, with a high-level grasp of microservices and distributed systems.
• Experience shipping cloud-native products, meaning products built on cloud services such as AWS.
• Comfort with data ingestion, cataloging, integration and enrichment, and how they connect to end-user analytics needs.
• Comfort using AI tools in your day-to-day product work, such as drafting requirements and specs.
• Ability to run initiatives with limited supervision, own your work and stay effective amid ambiguity.
• Clear written and verbal communication.

Nice to have

• Experience with data acquisition and replication technologies, such as change data capture (CDC) and streaming.
• Experience working on AI product features, such as agentic AI, LLM-powered capabilities or MCP server integrations.
• Experience at a B2B SaaS company.
• Software engineering experience.

Details

• Location: Bangalore, India.