ABOUT THE OPPORTUNITY AT BEAMERY

We are looking for a Senior Product Manager to own Beamery's Data Foundry end to end. The Data Foundry is Beamery's proprietary data platform that powers existing and emerging product lines, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API as an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across the platform.

You will treat data both as infrastructure embedded within our products and as a product that customers buy in its own right. Beyond internal embedding and direct commercial sales, the platform is open — customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define how the platform opens up for customer and partner innovation.

You will work at the centre of the platform. On one side you serve the Talent CRM and Workforce Suite product managers as your customers, agreeing the data contracts they build on. On the other you partner with the data science, data engineering and integrations engineering leads to turn those needs into delivery.

WHAT YOU WILL BE DOING

Ownership and strategy

• Own the Data Foundry vision, strategy and roadmap, framing each item as a bet with a clear driver, aligned to overall strategic objectives
• Ensure alignment of Data Foundry strategy to Beamery's AI strategy, reflecting the shift from providing AI assistants to providing AI access through MCP and API channels.
• Decide what Data Foundry provides as internal infrastructure and what is packaged and sold as a customer-facing product.
• Make and defend build versus buy decisions across integrations, analytics, AI and taxonomy capabilities.

Discovery and commercial impact

• Discover and validate what external customers want from data-as-a-service, and partner with Sales and Customer Success to drive adoption with clear GTM and enablement plans
• Build the case for Data Foundry as a new commercial channel, defining and proving the standalone commercial model alongside its role as platform foundation, quantify the value it unlocks for specific customers and deals, and measure success against value and usage metrics.

Partnership and delivery

• Lead your team to deliver solutions our customers can’t imagine working without and that deliver measurable customer and business outcomes
• Agree and maintain the data contracts with the CRM and Workforce Suite product managers, treating them as internal customers with real commitments.
• Prioritise across data science, data engineering and integrations engineering, translating tribe needs into a clear and deliverable plan.

Communication & alignment

• Communicate transparently and create alignment between peers and leadership on priorities, trade offs and progress
• Manage customer and sales expectations through well managed structured cadences

Data governance and trust

• Own how workforce data is governed, secured and access-controlled as it is exposed through APIs and MCP, meeting enterprise privacy and compliance expectations.
• Ensure the outputs of Data Foundry's models are measurable and explainable, so customers and internal teams can trust and act on the results.

WHAT WE ARE LOOKING FOR

• A product manager experienced in complex technical, data or AI products, ideally in enterprise B2B SaaS.
• Strong grasp of data platforms, APIs and integrations, comfortable making architecture-adjacent decisions with engineering and data science leads.
• Experience handling sensitive or regulated data, with a clear view of governance, security and privacy.
• An analytical thinker who uses data to find opportunities, prioritise and measure success.
• A confident prioritiser who can balance competing tribe roadmaps and internal customers without losing direction.
• Commercially fluent, able to connect product decisions to revenue, cost and customer ROI.
• A clear communicator who builds trust across product, data science and engineering, and who is comfortable taking a position and explaining the reasoning.
• Genuinely interested in how AI is reshaping the talent and workforce space, and in giving customers trusted, explainable access to their data.