Product Management Director, AgentExchange Data Platform

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

Agent Exchange is building the trusted platform for discovering, deploying, and managing enterprise applications, AI agents, skills, and partner solutions. The Agent Exchange Data Platform provides the intelligence layer that powers these experiences by delivering trusted, governed, and reusable data products for analytics, AI, personalization, trust, and ecosystem growth. As Director of Product Management for the Agent Exchange Data Platform, you’ll define the vision, strategy, and execution for the data platform, telemetry, analytics, and intelligence capabilities that power internal teams, partners, executives, AI agents, and headless marketplace experiences.

This role sits at the intersection of Product, Engineering, Data Engineering, Data Science, Architecture, and Business Intelligence, and is responsible for transforming Agent Exchange from a collection of systems into a scalable, AI‑ready data platform.

• Own the vision and multi‑year roadmap for the Agent Exchange Data Platform, establishing the foundation for trusted, reusable data products that power analytics, AI, operational reporting, and ecosystem intelligence across App Exchange, Agent Exchange, Slack Marketplace, Partner Console, and future marketplace experiences.
• Define the products and capabilities that measure marketplace health and business performance, including customer acquisition and retention, GMV forecasting, ecosystem growth, search and conversion analytics, partner performance, customer and partner effort, and executive KPI reporting.
• Develop reusable analytics services that expose trusted marketplace intelligence through dashboards, APIs, semantic models, and AI‑ready data products, driving a “build once, consume everywhere” architecture so analytics can be consumed consistently across Salesforce products, partner experiences, and AI agents.
• Own the strategy for telemetry, instrumentation, data governance, and marketplace data architecture, establishing canonical data models, metadata standards, taxonomy, semantic definitions, identity resolution, and data quality practices that enable trusted decision‑making and scalable platform capabilities.
• Build self‑service analytics for executives, product teams, engineering, and partners while enabling predictive and AI‑powered capabilities such as forecasting, lead scoring, ecosystem health, recommendations, conversational analytics, and business intelligence.
• Partner closely with Engineering, Data Engineering, Data Science, UX, Finance, Security & Trust, and Business Intelligence to deliver reusable platform capabilities.
• Lead and mentor a team of Product Managers while influencing architecture and product strategy across multiple organizations.

• 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, including 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.
• Demonstrated success partnering with Platform Engineering, Data Engineering, Data Science, and Architecture teams.
• Strong executive communication and organizational leadership skills with the ability to influence senior technical and business leaders.
• Experience leading and developing Product Management teams.
• Familiarity with AI‑powered analytics, conversational BI, or marketplace/ecosystem products.

• Advanced degree in Computer Science, Engineering, Data…