Bellevue, United States; Denver, United States; Irvine, United States; Los Angeles, United States; New York, US; San Francisco, United States; San Jose, United States
Full job description
The Trade Desk seeks a Staff Product Manager to lead data cataloging, metadata infrastructure, and compliance across the platform. The role requires ownership of schema evolution, drift detection, semantic mapping, data asset tagging, and access control to ensure compliant internal data access. Responsibilities include defining product roadmaps, collaborating cross-functionally with engineering, data science, legal, and privacy teams, and translating complex data and regulatory requirements into clear business narratives. Candidates must have 6+ years of product management experience in data platforms or governance, strong knowledge of GDPR, CCPA, CPRA, schema management, and experience with Databricks, Vertica, Snowflake, or similar platforms. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, sick and vacation time, paid holidays, stock purchase plans, and variable incentives. Base salary range is $201,400 to $251,800 USD. Locations include Bellevue, Denver, Irvine, Los Angeles, New York, San Francisco, and San Jose.
What you'll do
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Bellevue, United States; Denver, United States; Irvine, United States; Los Angeles, United States; New York, US; San Francisco, United States; San Jose, United States
Full-time
Own the product roadmap for schema evolution and versioning, ensuring backward and forward compatibility without breaking downstream applications or pipelines
Define requirements for drift detection tooling that monitors real-time schema changes across unstructured and semi-structured data inputs
Build the semantic mapping layer linking technical schema columns to business terms in a centralized data glossary, including classification of fields carrying privacy or regulatory sensitivity
Define requirements for column-level lineage tracking from source files through transformations to specific report elements
Own the strategy for tagging data assets to enable discoverability, access control, and downstream activation
Define the data asset taxonomy and classification framework, including tags for PII, sensitive data categories, consent scope, and regulatory jurisdiction, in partnership with engineering, data science, legal, and privacy teams
Drive platformization of data assets so they are consistently inventoried, annotated, and accessible across teams and environments, with privacy constraints embedded at the asset level
Own the product vision for how employees and internal workflow developers access data assets in a compliant manner
Define access control requirements across internal tooling and data environments, ensuring entitlements are granular, auditable, and enforceable
Partner with Legal, Privacy, and Engineering to operationalize data use constraints into tooling rather than manual review processes
Identify and close gaps where internal data access outpaces governance coverage
Lead alignment across data engineering, data science, legal, privacy, security, and platform product teams on governance standards, tooling, and roadmap priorities
Translate complex data architecture and compliance decisions into clear narratives for senior leadership and non-technical stakeholders
Act as the internal authority on data cataloging, metadata best practices, and privacy operationalization across hybrid cloud and on-premises environments
Requirements
6+ years of product management experience focused on data platforms, data governance, regulatory compliance, or closely related domains in a complex software or adtech environment
Hands-on working knowledge of modern data catalog and metadata management tools and what it takes to build or adopt them at scale
Deep understanding of schema management: versioning, evolution, drift detection, and semantic mapping between technical schemas and business glossaries
Strong working knowledge of GDPR, CCPA, CPRA, and emerging privacy frameworks, with demonstrated experience translating regulatory requirements into data product and infrastructure requirements
Technical fluency across data infrastructure: distributed data pipelines, event-driven systems, data modeling, API design, and access control models
Experience building products on or alongside Databricks (Unity Catalog, Delta Lake), Vertica, Snowflake, or equivalent large-scale data platforms, with comfort navigating tradeoffs across cloud and on-premises environments
Proven ability to drive cross-functional alignment across engineering, data science, legal, privacy, and business stakeholders in ambiguous, fast-moving environments
Exceptional communication skills: able to translate data infrastructure complexity and regulatory constraints into business narratives, and vice versa
Tech stack
Unity CatalogDatabricksDelta LakeVerticaSnowflakedistributed data pipelinesevent-driven systemsdata modelingAPI designaccess control models
Benefits
Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependentsRetirement benefits such as a 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time for full-time employees up to 120 hours through the first year and 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseVariable compensation-based incentives and commissions depending on roleStock-based compensation grants based on company and individual performance
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