Senior Product Manager, Data Platform (Data Ingestion, Integration & Access)

Overview

Own the data access and integration experience of Guidewire's Data Platform, serving internal teams and customers, including AI-driven self-service capabilities.

What you'll do

• Act as the authoritative product owner for one or more data access and integration areas, leading discussions to a clear recommendation or decision.
• Build a shared vision and consensus on priorities across the company.
• Define and analyze the metrics that show whether your products succeed.
• Guide one or more engineering teams from ideation through launch of data ingestion, access and integration capabilities.
• Write product requirements from a user and functional perspective, with scope, supported patterns and acceptance criteria that engineering can build against.
• Define and ship AI-driven capabilities (for example, agentic experiences and MCP-based integrations) that make data access more self-service.
• Run feature-level design sessions with engineers, architects and UX.
• Own the product interface between the Data Platform and the teams that consume it, driving agreement on integration contracts, dependencies and scope.
• Drive initiatives to closure with limited supervision: set direction, communicate status and risks early, and follow through on commitments.
• Develop a deep understanding of customer needs and challenges so they adopt our data access products successfully.
• Be the product expert for customers, QA, support and sales on our cloud-native data infrastructure.
• Triage, prioritize and respond to customer issues and escalations.

What you'll need

• 5+ years of product management experience.
• 5+ years working with the technical architecture and security of cloud solutions.
• Working fluency with distributed data systems (data replication and CDC, streaming such as Kafka, table formats such as Apache Iceberg, data cataloging, microservices, AWS data infrastructure), enough to reason about design trade-offs and write correct requirements.
• A solid grasp of the AWS credential and access model (IAM roles, policies, principals, scoped and temporary credentials) to reason about secure data access.
• Ability to learn unfamiliar technical concepts quickly and turn them into requirements at the persona and functional level, not implementation detail.
• Comfort using AI tools across the development lifecycle, including spec-driven development and AI-assisted requirements, design and delivery.
• A record of driving complex initiatives to closure with limited supervision.
• Clear written and verbal communication that keeps stakeholders across multiple teams aligned.
• Ownership, resilience and comfort with ambiguity.

Nice to have

• Experience defining and shipping AI product features, such as agentic AI, LLM-powered capabilities or MCP server integrations.
• Understanding of Apache Iceberg and the open table format ecosystem.
• Understanding of data federation, including querying and accessing data across sources without moving it.
• Experience with data ingestion, cataloging, integration and enrichment, and how they connect to end-user analytics applications.
• Experience at a B2B SaaS company.
• Software engineering experience.

Details

• Location: Bangalore, India.