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22 часа назад

Product Manager (Native AI Products & New Ventures)

5 000 - 7 000
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Product Manager (Native AI Products & New Ventures) (AI): Building AI-native products and new ventures from initial hypotheses through validation and first paying customers with an accent on customer discovery, AI product strategy, and rapid experimentation. Focus on designing LLM- and agent-powered experiences, defining evaluation criteria, and making high-confidence product bets under ambiguity.

Location: Vilnius, Lithuania; Workplace: Hybrid

Salary: €5,000–€7,000 gross per month, with flexibility based on skills and competencies.

Company

hirify.global develops web data and data extraction products and is building a new generation of AI-native products and ventures.

What you will do

  • Continuously explore the AI and data landscape, customer needs, competitors, and research to identify new product opportunities.
  • Define, prototype, and validate AI-native product concepts from early hypotheses to first paying customers.
  • Develop product strategy for LLMs, AI agents, intelligent automation, and related technologies.
  • Partner with product engineers to design AI experiences, define evaluation criteria, and ship production-ready features.
  • Shape simple, clear customer experiences that solve real user problems.
  • Communicate uncertainty, trade-offs, and early signals to align leadership and stakeholders.

Requirements

  • 2+ years of product management experience, including meaningful experience building new products and ideally at least one 0-to-1 or early-stage launch.
  • Deep familiarity with LLMs, AI agents, embedding models, RAGs, MCPs, and their application to real product value.
  • Strong customer discovery, validation, experimentation, and product judgment skills.
  • Ability to operate independently in ambiguous environments without an established roadmap or playbook.
  • Strong communication skills, including explaining complex AI concepts to non-technical stakeholders and building alignment around uncertain bets.
  • Resilience, low ego, and commitment to continuous learning.

Nice to have

  • Hands-on experience building or shipping AI-native products such as copilots, agents, AI search, or intelligent data tools.
  • Familiarity with web data, crawling infrastructure, or data extraction.
  • Experience in an early-stage startup or a new ventures or innovation team.
  • Experience working with ML teams on model evaluation, prompt engineering, or AI product QA.

Culture & Benefits

  • 40+ internal learning options, external conferences, mentorship, and year-round knowledge sharing.
  • Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
  • Team events, an overseas workation, and quarterly team-building budgets.
  • Bonus vacation days, paid life-moment days off, barista coffee, and work tools.

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