Principal Product Manager, Data Platform
Toast, Inc. - Dublin
Posted May 18, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Principal Product Manager, Data Platform Dublin Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we'll deliver on their needs for today while investing in experiences that will power their restaurant of the future. The Opportunity We're looking for a Principal Product Manager to lead two critical data platform teams that power Toast's entire engineering and analytics ecosystem. You'll own the roadmap for: OLAP Platform - The real-time data backbone that enables Toast engineers to build faster and more effectively. This platform delivers low-latency, highly available, real-time data access across the company, directly accelerating how quickly we can ship features for our restaurant customers. Advanced Analytics Platform - The offline data infrastructure serving data scientists, ML engineers, and product teams company-wide. You'll create reusable data primitives that scale across the organization, eliminating redundant work and unlocking new analytical capabilities. What You'll Do Your mission is to identify high-leverage opportunities where thoughtful platform investments can meaningfully accelerate development velocity across Toast. Rather than building one-off solutions, you'll craft general-purpose capabilities that multiply the productivity of dozens of teams. You'll partner with a diverse set of stakeholders, including data scientists, machine learning engineers,
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