Product Manager, Data Platform (Data Access & Integration)

Job Summary

Guidewire builds the software that property and casualty (PC) insurers use to care for customers in a crisis, whether a natural disaster or an accident.

The Data Platform team builds the secure, scalable data foundation behind Guidewire's analytics, data science and data management applications. It is built into our product portfolio, and both internal development teams and customers rely on it to put data to work.

You will help shape the data access and integration experience of the platform, with a focus on how data gets into it. You will work with engineers, architects and UX to take ingestion capabilities from idea to launch, and with customers and internal teams to make sure they succeed with what we build. You will learn fast, bring clarity to ambiguous problems and grow your ownership over time.

Job Description

Define and deliver

• 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 that 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.

Align and measure

• Build consensus on priorities and keep your teams work aligned with the Data Platform and Analytics roadmap.
• Define and analyze the metrics that show whether your products succeed.

Partner with customers and the field

• 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 bring (required)

• 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.

Strongly preferred

• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.