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Hirify AI/Оригинал
TL;DR
Senior Product Manager (AI/Data Platform): Owning and commercializing Beamery’s Data Foundry, a proprietary data platform providing infrastructure and data-as-a-service through MCP and API channels with an accent on data models, taxonomies, integrations, and enterprise governance. Focus on shaping the platform strategy, validating a new commercial channel, coordinating product and engineering priorities, and delivering secure, measurable, and explainable AI-enabled data capabilities.
Company
hirify.global develops jobs, skills, and tasks data products that support talent lifecycle management, workforce planning, recruitment, mobility, upskilling, and diversity initiatives.
What you will do
Own the vision, strategy, roadmap, and prioritization for the Data Foundry.
Define which capabilities serve as internal infrastructure and which become customer-facing data products.
Validate customer demand for data-as-a-service and build the commercial model, go-to-market plans, and success metrics.
Maintain data contracts with Talent CRM and Workforce Suite product managers as internal customers.
Prioritize delivery across data science, data engineering, and integrations engineering.
Govern workforce data exposed through APIs and MCP, ensuring security, privacy, access control, measurability, and explainability.
Requirements
At least 6 years of experience in complex technical, data, or AI products, including significant enterprise B2B SaaS experience.
Strong understanding of data platforms, APIs, and integrations, with the ability to make architecture-adjacent decisions.
Experience working with sensitive or regulated data and understanding of governance, security, and privacy.
Analytical approach to identifying opportunities, prioritizing work, and measuring product success.
Commercial experience with 0-to-1 products, new go-to-market motions, revenue, cost, and customer ROI.
Experience owning and delivering AI capabilities, with strong communication across product, data science, and engineering.
Nice to have
Experience with workforce, talent, skills intelligence, taxonomies, or knowledge graph products.
Experience with MCP-based product access and open platform ecosystems.
Culture & Benefits
Inclusive environment built around trust, empathy, honesty, and open expression.
Commitment to equal opportunity and representative teams.
Reasonable recruitment-process adjustments are available for candidates who need them.
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