Senior PM, Data Foundry – Shape AI-Driven Talent Platform

Beamery; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Beamery is seeking a Senior Product Manager to own the Data Foundry, Beamery's data platform powering the Talent CRM and Workforce Suite. You will define strategy, data contracts, and how data is exposed via MCP/API, shaping product lines and data-as-a-service.

You will collaborate with data science, data engineering, and integrations leads to deliver customer-ready data products, ensure governance and security, and connect product decisions to revenue and ROI.

Qualifications

• Experience leading complex data or AI product initiatives.
• Strong knowledge of data platforms, APIs and integrations.
• Experience handling sensitive data with governance and privacy focus.
• Analytical thinker who uses data to identify opportunities and measure outcomes.
• Ability to prioritise competing roadmaps while maintaining direction.
• Ability to connect product decisions to revenue, cost and ROI.
• Excellent written and verbal communication across product, engineering and data teams.
• Genuine interest in how AI reshapes talent and workforce.

Responsibilities

• Own Data Foundry vision, strategy and roadmap aligned to Beamery objectives.
• Align Data Foundry with Beamery AI strategy and MCP/API channels.
• Decide internal infra vs customer-facing data products.
• Lead cross-functional teams to deliver data-driven outcomes.
• Define internal data contracts with CRM and Workforce teams.
• Set priorities across data science, data engineering and integrations.
• Communicate priorities and progress to stakeholders.
• Govern and secure workforce data across APIs and MCP.

Skills

Data/AI products

Data platforms & APIs

Governance & security

Data-driven analysis

Prioritisation

Business impact

Cross-team communication

AI in talent space

Job description

Beamery is seeking a Senior Product Manager to own the Data Foundry, Beamery's data platform powering the Talent CRM and Workforce Suite. You will define strategy, data contracts, and how data is exposed via MCP/API, shaping product lines and data-as-a-service.

You will collaborate with data science, data engineering, and integrations leads to deliver customer-ready data products, ensure governance and security, and connect product decisions to revenue and ROI.