Senior Product Manager

Summary

Join Toast's Data Infrastructure & Performance (DIP) team as a Senior Product Manager to lead a key pillar of our internal data platform, focusing on either data governance and metadata or customer data infrastructure. You will define and lead the product vision for core areas, own the product roadmap, translate requirements into product specifications, partner with Data Engineering, guide adoption of data infrastructure, and define success metrics. This role requires experience with platform, infrastructure, or customer data products in a data-rich environment and expertise in data governance or customer data infrastructure. Proficiency in SQL and strong communication skills are essential. The position offers flexibility for remote or hybrid work. Competitive compensation and benefits are provided.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience applying AI or ML to scale workflows in either domain—such as metadata classification, automated tagging, identity stitching, or AI decisioning in customer engagement
• Familiarity with data observability platforms or privacy and compliance frameworks (e.g., SOC 2, GDPR)
• Background implementing or scaling internal data catalogs, customer data platforms, or data activation pipelines

Benefits

• This role offers flexibility for remote or hybrid work, depending on your location
• We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry
• Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs
• The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible)