The job, in the employer's words
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.
The Enterprise Data Solutions (EDS) team at Toast is on a mission to deliver a trusted, scalable, and governed data foundation that empowers every team to make decisions with speed and confidence. We are seeking an Associate Product Manager to join our Enterprise Data Solutions team. In this role, you will be a key contributor to the operational execution and strategic evolution of our Enterprise Data Governance Program. You will play a critical role in making Toast's data trustworthy, compliant, and discoverable as the company scales its AI and data capabilities.
A day in the life (Responsibilities)
- Measurement: Stand up the dashboards to monitor that data requirements are being adhered to across the organization.
- Design & Strategy: Support the facilitation of the Data Governance Council working sessions and act as a Subject Matter Expert for the enterprise Business Glossary.
- Automation & Scalability: Partner with the data catalog team to streamline metadata standards, automating data discovery across business platforms and analytics tools.
- Governance & Documentation: Develop comprehensive governance documentation, stewardship training materials, and SOPs to ensure domains scale with consistent practices.
- Continuous Improvement: Research emerging data management frameworks and AI governance best practices to proactively enhance enterprise data policies.
- Platform Health: Take ownership of governance dashboards, proactive compliance monitoring, and data quality tracking to maintain overall data foundation reliability.
- Stakeholder Collaboration: Work closely with cross-functional partners (e.g., Engineering, Analytics, Legal) to translate business definitions into technical metadata specifications.
What you'll need to thrive (Requirements)
- Years of Experience: 2+ years of professional experience in data governance, data management, product management, or analytics.
- Technical Mastery: Proven experience with modern data platforms (Snowflake, dbt) and data catalogs (DataHub, Alation, Atlan), specifically focused on enterprise metadata and stewardship deployments.
- Implementation: Demonstrated ability to implement data governance frameworks, business glossaries, and data domain models for core enterprise applications.
- Problem Solving: Solid understanding of industry standards and best practices within data management, metrics standardization, and metadata curation.
- Tools: Experience with SQL for governance reporting, analytics, and data quality analysis.
- Communication: Excellent analytical and verbal skills to communicate complex governance policies and lead cross-functional workshops across technical and non-technical audiences.
What will help you stand out (Nonessential/Nice to Haves)
- Certifications: Certified Data Management Professional (CDMP) or active coursework toward certification.
- Domain Knowledge: Familiarity with compliance frameworks (e.g., SOC 2, GDPR, CCPA) or data management frameworks like DAMA-DMBOK.
- Breadth: Experience with adjacent tools and frameworks such as data observability platforms (Monte Carlo, Great Expectations) or AI governance models.
- Industry Context: Prior experience in B2B SaaS, restaurant technology, or a fast-paced product company.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
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. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast
People Are the Secret Ingredient in Our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Requirements mentioned
- Years of Experience: 2+ years of professional experience in data governance, data management, product management, or analytics.
- Technical Mastery: Proven experience with modern data platforms (Snowflake, dbt) and data catalogs (DataHub, Alation, Atlan), specifically focused on enterprise metadata and stewardship deployments.
- Implementation: Demonstrated ability to implement data governance frameworks, business glossaries, and data domain models for core enterprise applications.
- Problem Solving: Solid understanding of industry standards and best practices within data management, metrics standardization, and metadata curation.
- Tools: Experience with SQL for governance reporting, analytics, and data quality analysis.
- Communication: Excellent analytical and verbal skills to communicate complex governance policies and lead cross-functional workshops across technical and non-technical audiences.
- Certifications: Certified Data Management Professional (CDMP) or active coursework toward certification.
- Domain Knowledge: Familiarity with compliance frameworks (e.g., SOC 2, GDPR, CCPA) or data management frameworks like DAMA-DMBOK.
- Breadth: Experience with adjacent tools and frameworks such as data observability platforms (Monte Carlo, Great Expectations) or AI governance models.
- Industry Context: Prior experience in B2B SaaS, restaurant technology, or a fast-paced product company.
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