Senior Product Manager, Toast

• Experience owning platform, infrastructure, or customer data products in a data-rich environment
• Proven track record in at least one of the following domains:
• Data governance and platform infrastructure: tools such as Datahub, Ethyca, or similar; experience with metadata modeling, classification, tagging, and policy enforcement
• Customer data infrastructure and activation: tools such as Hightouch, Tealium, Braze, Marketo, or equivalent; experience with identity resolution, event modeling, and operational data delivery
• Hands-on experience with modern data architectures and tools (e.g., Snowflake, Airflow, dbt, metadata catalogs, reverse ETL platforms)
• Proficiency in SQL—enough to engage meaningfully with technical stakeholders and dive into data use cases
• Strong strategic thinking and systems-level problem-solving skills
• Ability to operate independently in complex, cross-functional environments
• Clear and effective communication skills with both technical and business stakeholders

Desirable

• The Data Infrastructure & Performance (DIP) team plays a critical role in supporting that mission by delivering the internal data foundations that power trustworthy, scalable, and actionable data across Toast
• From governed, discoverable internal datasets to the systems that enable timely, personalized customer outreach, our team ensures that data is available, reliable, and ready for use across the business
• We are hiring a Senior Product Manager to lead a key pillar of our internal data platform
• This role will take ownership of a critical area of Toast’s data infrastructure—either our data governance and metadata platform, or our customer data infrastructure. In either area, the focus will be on delivering foundational capabilities that make data trusted, accessible, and usable at scale
• Define and lead the product vision for core areas of Toast’s internal data platform, including capabilities such as metadata management, data classification, observability, identity resolution, or customer lifecycle modeling
• Own the product roadmap and prioritization process in close collaboration with engineering, analytics, and compliance teams
• Translate regulatory requirements,internal use cases, and stakeholder feedback into clear, structured product requirements
• Partner with Data Engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Snowflake, Airflow, and dbt
• Guide adoption of data infrastructure and tooling across teams by ensuring it meets the needs of data producers and consumers alike
• Define and track success metrics that demonstrate impact on data availability, trust, usability, or activation
• Communicate product priorities, trade offs, and timelines clearly across technical and non-technical audiences