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1 месяц назад

Senior Product Manager (AI/Data Platform)

Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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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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