10 дней назад
Senior Product Manager (AI)
5 000 - 7 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI) (AI/API products): Building AI-native products and scaling enterprise scraping API products with an accent on customer discovery, developer experience, data quality, and enterprise scalability. Focus on validating 0-to-1 concepts, shaping API roadmaps, partnering with engineering, and connecting technical decisions to adoption and revenue.
Location: Vilnius, Lithuania; Workplace: Hybrid
Gross salary: €5,000–€7,000 per month, with flexibility based on skills and competencies.
Company
develops scraping API products and explores AI-native solutions for enterprise customers and developers.
What you will do
- Define, prototype, and validate 0-to-1 AI-native product concepts using large language models and intelligent automation.
- Own the vision and roadmap for the core scraping API suite, balancing developer experience, data quality, and enterprise scalability.
- Conduct structured discovery with enterprise buyers, data engineers, and early adopters.
- Partner with engineering teams to architect API solutions and design AI product experiences.
- Track usage telemetry, expansion revenue, and technical metrics to guide product and commercial decisions.
- Communicate roadmap trade-offs, uncertain bets, and market gaps to leadership and stakeholders.
Requirements
- 3+ years of product management experience with API-first or developer-facing B2B products, or meaningful 0-to-1 product launch experience.
- Strong familiarity with AI concepts such as LLMs, AI agents, RAGs, MCPs, or technical expertise with REST APIs, web infrastructure, JSON, and HTML.
- Ability to connect technical product decisions with pricing, business outcomes, and revenue growth using data and telemetry.
- Comfort working with significant ambiguity and making progress without an established roadmap.
- Excellent written and verbal communication, including writing product specifications and explaining complex technical or AI concepts.
Nice to have
- 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 and 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 necessary work tools.
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