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Enterprise AI Product Lead

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Enterprise AI Product Lead (LLM/RAG): Owning the full lifecycle of enterprise AI use cases from ideation through deployment and adoption, with an accent on KPI ownership, workflow integration, and reusable Fabric assets. Focus on leading autonomous pods, managing regulated Legal, Quality, and IT/Security dependencies, and making evidence-based kill or pivot decisions.

Location: Barcelona, Spain

Company

hirify.global provides instruments, services, consumables, applications, and measurement and asset management expertise to life science, diagnostic, and applied market laboratories worldwide.

What you will do

  • Own the enterprise AI solution lifecycle from ideation and planning through development, deployment, adoption, and continuous iteration.
  • Define use cases, KPI targets, scope, sequencing, backlog priorities, and explicit kill criteria with the business sponsor.
  • Lead a senior AI product pod and coordinate engineers, design, engineering, QA, deployment, and cross-functional dependencies.
  • Manage stakeholder RACI, including Legal, Quality, IT, and Security gates for regulated use cases.
  • Drive adoption in real business workflows, measure value and usage telemetry, and contribute reusable Fabric assets to the wider portfolio.
  • Maintain the product roadmap and partner with Sales, Marketing, and Customer Success on positioning, enablement, and measurable value delivery.

Requirements

  • At least 8 years of relevant experience and a Bachelor's or Master's degree or equivalent.
  • Experience shipping LLM applications, including agentic or RAG products, from concept to an adopted workflow tool.
  • Experience leading discovery with domain experts and acting as the accountable product representative to a VP-level sponsor.
  • Experience working in a portfolio model with explicit kill discipline, including materially pivoting or stopping a product initiative.
  • Hands-on fluency with prompting, agent composition, and evaluation of AI solutions.
  • Comfort working with regulated-environment constraints and cross-functional Legal, Quality, IT, and Security requirements.

Nice to have

  • Experience with GxP or an equivalent regulated environment.
  • Postgraduate education, professional certification, or relevant license.

Culture & Benefits

  • High-autonomy role with ownership of a small senior team and a VP-level sponsor relationship.
  • Opportunity to deliver measurable business value while creating reusable enterprise AI assets.
  • Full-time weekly schedule with a daytime shift.
  • Approximately 10% travel required.
  • No fixed end date for the position.

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