Senior Product Manager, Data Foundry

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 or exceeding 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.

• A product manager with a minimum 6 years experience in complex technical, data or AI products, a significant portion of which should be in enterprise B2B SaaS.

• Strong grasp of data platforms, APIs and integrations, comfortable making architecture-adjacent decisions while collaborating with and holding priorities 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, confidently prioritise and measure success, balancing between competing tribe roadmaps and internal customers.

• Commercially fluent, experience with 0-1 product stages, shaping early product with new go to market motions, 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.

• Experienced owning and delivering AI capabilities, with a keen interest in how AI is reshaping the talent and workforce space, and in giving customers trusted, explainable access to their data.

Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.