Adobe Systems

3 weeks ago

Principal Product Manager, Data Intelligence and AI Governance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Responsible for guiding the cross-cutting data platform initiatives that make data trustworthy for AI, including metadata strategy, governance, data lineage, and agent readiness. Own the enterprise data model, definitions, and cross-product impact analyses; define HITL governance; partner with product teams to ensure retrieval APIs and embedding pipelines are built on governed, trustworthy foundations; and drive a unified operator console.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define and drive Adobe's enterprise metadata model — what gets catalogued, how it is structured, what it means, and how it stays current across systems.
•Own the product roadmap for metadata enrichment, normalization, and publication — including benchmark definitions, event schemas, data job lineage, and entity relationships.
•Partner with the Metadata System PM to translate the metadata strategy into prioritized product features and a coherent data model.
•Establish metadata standards that external teams (product analytics, ML, BI) can build on with confidence.
•Own the product definition of 'agent-ready data' — the governance, freshness, lineage, and trust properties.
•Define the cross-product impact analysis capability: surfacing what breaks across the full stack when an event schema changes, a benchmark definition is updated, or a knowledge entity is deprecated.
•Develop and drive the agent readiness scoring model: a composite, per-agent health score that spans signal quality, metadata integrity, and knowledge freshness.
•Define the HITL (human-in-the-loop) governance framework across products — what triggers a human review, who reviews it, and how corrections propagate downstream.
•Partner with individual product teams to ensure retrieval APIs, MCP integrations, and embedding pipelines are built on governed, trustworthy foundations.
•Drive the product strategy for a unified operator console that spans across multiple systems— replacing separate registry UIs with a single, coherent governance and observability surface.
•Define the cross-layer views that operators need: dependency graphs, freshness dashboards, agent readiness panels, and HITL correction workflows.

Pay and Benefits

Salary: USD 134,400 - 253,900 annually

Key Requirements

•10+ years of product management experience, with at least 3 years in data platform, data infrastructure, or enterprise data products.
•Bachelor's degree in Computer Science, Engineering, or a related field
•Demonstrated experience owning a data governance, metadata, or data quality product — not just participating in one.
•Deep familiarity with the AI/ML data lifecycle: how models consume data, what makes data 'agent-ready', and where trust breaks down in practice.
•Ability to write engineering PRDs that translate complex technical systems into clear user problems, prioritized features, and measurable outcomes.

Experience:10+ yearsData platformEnterprise dataAI/ML data lifecycle

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:KafkaDatabricksUnity CatalogOpen MetadataAmundsenDataHubAtlanClaudeRetrieval APIs

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

3 weeks ago

Principal Product Manager, Data Intelligence and AI Governance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Define and drive Adobe's enterprise metadata model — what gets catalogued, how it is structured, what it means, and how it stays current across systems.
•Own the product roadmap for metadata enrichment, normalization, and publication — including benchmark definitions, event schemas, data job lineage, and entity relationships.
•Partner with the Metadata System PM to translate the metadata strategy into prioritized product features and a coherent data model.
•Establish metadata standards that external teams (product analytics, ML, BI) can build on with confidence.
•Own the product definition of 'agent-ready data' — the governance, freshness, lineage, and trust properties.
•Define the cross-product impact analysis capability: surfacing what breaks across the full stack when an event schema changes, a benchmark definition is updated, or a knowledge entity is deprecated.
•Develop and drive the agent readiness scoring model: a composite, per-agent health score that spans signal quality, metadata integrity, and knowledge freshness.
•Define the HITL (human-in-the-loop) governance framework across products — what triggers a human review, who reviews it, and how corrections propagate downstream.
•Partner with individual product teams to ensure retrieval APIs, MCP integrations, and embedding pipelines are built on governed, trustworthy foundations.
•Drive the product strategy for a unified operator console that spans across multiple systems— replacing separate registry UIs with a single, coherent governance and observability surface.
•Define the cross-layer views that operators need: dependency graphs, freshness dashboards, agent readiness panels, and HITL correction workflows.

Pay and Benefits

Salary: USD 134,400 - 253,900 annually

Key Requirements

•10+ years of product management experience, with at least 3 years in data platform, data infrastructure, or enterprise data products.
•Bachelor's degree in Computer Science, Engineering, or a related field
•Demonstrated experience owning a data governance, metadata, or data quality product — not just participating in one.
•Deep familiarity with the AI/ML data lifecycle: how models consume data, what makes data 'agent-ready', and where trust breaks down in practice.
•Ability to write engineering PRDs that translate complex technical systems into clear user problems, prioritized features, and measurable outcomes.

Experience:10+ yearsData platformEnterprise dataAI/ML data lifecycle

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:KafkaDatabricksUnity CatalogOpen MetadataAmundsenDataHubAtlanClaudeRetrieval APIs

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor