Salesforce

2 days ago

Product Management Director, AgentExchange Data Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 45 minutes agoStatus: Live

Job Summary

Define the vision, strategy, and execution for the AgentExchange Data Platform’s trusted intelligence layer. Own a multi-year roadmap for telemetry, analytics, governance, and reusable data products that power marketplace health metrics, executive KPIs, and AI-ready experiences across AppExchange, AgentExchange, and partner consoles. Lead and mentor Product Managers, partnering closely with Engineering, Data Engineering, Data Science, UX, Finance, Security & Trust, and Business Intelligence to turn a systems collection into a scalable, AI-ready platform.

Location: San Francisco, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key Responsibilities

•Own the vision and multi-year roadmap for the AgentExchange Data Platform, defining trusted, reusable data products powering analytics, AI, and ecosystem intelligence across marketplaces.
•Define marketplace health and business performance products (e.g., customer acquisition/retention, GMV forecasting, search/conversion analytics, partner performance, executive KPI reporting).
•Develop reusable analytics services that expose trusted marketplace intelligence through dashboards, APIs, semantic models, and AI-ready data products for a “build once, consume everywhere” architecture.
•Own telemetry strategy, instrumentation, data governance, and marketplace data architecture, including canonical data models, metadata standards, taxonomy, semantic definitions, identity resolution, and data quality.
•Build self-service analytics and predictive/AI-powered capabilities (forecasting, lead scoring, ecosystem health, recommendations, conversational analytics, and business intelligence) while leading and mentoring a team of Product Managers.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually

Perks:Health InsuranceDentalVisionParental Leave401kLife InsuranceDisability InsuranceEquityTime Off

Key Requirements

•10+ years of Product Management experience building enterprise platform products.
•Experience building data platforms, analytics platforms, telemetry systems, or business intelligence products.
•Strong understanding of modern data platform architecture (data modeling, APIs, event-driven systems, governance, metadata management, semantic layers, experimentation, and AI/ML data pipelines).
•Experience delivering reusable platform services and data products consumed by multiple applications.
•Experience leading and developing Product Management teams, with demonstrated success partnering across Platform Engineering, Data Engineering, Data Science, and Architecture.

Experience:10+ yearsEnterprise platformData platformsAnalytics platformsTelemetry systemsBusiness intelligenceAI/ML

Skills:Executive communicationOrganizational leadershipMentorshipInfluencing senior leaders

Tech Stack:APIsTelemetryDashboardsSemantic modelsData modelingEvent-driven systemsData governanceMetadata managementSemantic layersExperimentationAI/ML data pipelinesConversational BI

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

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 Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

2 days ago

Product Management Director, AgentExchange Data Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 45 minutes agoStatus: Live

Job Summary

Location: San Francisco, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key Responsibilities

•Own the vision and multi-year roadmap for the AgentExchange Data Platform, defining trusted, reusable data products powering analytics, AI, and ecosystem intelligence across marketplaces.
•Define marketplace health and business performance products (e.g., customer acquisition/retention, GMV forecasting, search/conversion analytics, partner performance, executive KPI reporting).
•Develop reusable analytics services that expose trusted marketplace intelligence through dashboards, APIs, semantic models, and AI-ready data products for a “build once, consume everywhere” architecture.
•Own telemetry strategy, instrumentation, data governance, and marketplace data architecture, including canonical data models, metadata standards, taxonomy, semantic definitions, identity resolution, and data quality.
•Build self-service analytics and predictive/AI-powered capabilities (forecasting, lead scoring, ecosystem health, recommendations, conversational analytics, and business intelligence) while leading and mentoring a team of Product Managers.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually

Perks:Health InsuranceDentalVisionParental Leave401kLife InsuranceDisability InsuranceEquityTime Off

Key Requirements

•10+ years of Product Management experience building enterprise platform products.
•Experience building data platforms, analytics platforms, telemetry systems, or business intelligence products.
•Strong understanding of modern data platform architecture (data modeling, APIs, event-driven systems, governance, metadata management, semantic layers, experimentation, and AI/ML data pipelines).
•Experience delivering reusable platform services and data products consumed by multiple applications.
•Experience leading and developing Product Management teams, with demonstrated success partnering across Platform Engineering, Data Engineering, Data Science, and Architecture.

Experience:10+ yearsEnterprise platformData platformsAnalytics platformsTelemetry systemsBusiness intelligenceAI/ML

Skills:Executive communicationOrganizational leadershipMentorshipInfluencing senior leaders

Tech Stack:APIsTelemetryDashboardsSemantic modelsData modelingEvent-driven systemsData governanceMetadata managementSemantic layersExperimentationAI/ML data pipelinesConversational BI

Company Brief

Salesforce

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 Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor