Jobs / United States / Toast INC

Toast INC

Associate Product Manager, Data Governance

Remote, US · Remote · US only Posted today

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Skills this job asks for

ComplianceProduct managementSnowflakedbtSQLB2B sales

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Where you can work from

United States only

Based on the listing's location: Remote, US.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 29 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Toast INC paid sponsored hires in similar roles1 certified filing for “Senior Manager, Credit Risk” (Data Scientists) in IL: $200k–$200k, median $200k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 29 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Toast INC paid sponsored hires in similar roles
1 certified filing for “Senior Manager, Credit Risk” (Data Scientists) in IL: $200k–$200k, median $200k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 o

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