22 часа назад
Product Manager (Native AI Products & New Ventures)
5 000 - 7 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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