Technical Product Manager (AI/Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Technical Product Manager (AI/Data): Designing and shipping multi-source datasets and productizing ML/AI capabilities with an accent on data quality and customer value. Focus on making tradeoff calls on ML-powered fields, driving customer discovery, and managing the data product lifecycle.
Location: Hybrid (Vilnius, Lithuania) — 3 office days / 2 WFH; WFA options available.
Company
develops cutting-edge proxy and web data scraping solutions for thousands of global businesses, including Fortune 500 companies.
What you will do
- Design and ship multi-source datasets by fusing inputs to create unique value for customers.
- Lead the productization of ML and AI capabilities directly into the data products.
- Manage critical tradeoffs for ML-powered fields, balancing coverage, precision, latency, and cost.
- Define and own business-level rules for data quality, including accuracy, completeness, and freshness.
- Drive customer discovery to understand data problems and identify new revenue-generating opportunities.
- Collaborate with Sales, Customer Success, and Marketing to align the product roadmap with commercial reality.
Requirements
- At least 5 years of experience as a Product Manager or Technical PM, ideally with data, API, or platform products.
- Technical fluency in data pipelines, schemas, transformations, and inferred fields.
- Strong product thinking skills focusing on discovery, customer research, and outcome ownership.
- Experience designing datasets as a product and managing their evolution.
- Strong written and verbal communication in English.
- Experience working in an agile B2B SaaS or API product environment.
Nice to have
- Familiarity with how LLMs, embeddings, or semantic search consume structured data.
- Experience scaling product squads or being part of a newly formed team.
- Hands-on familiarity with the full data lifecycle: extraction, transformation, storage, enrichment, and delivery.
- Experience with products where data quality is a formal customer commitment.
Culture & Benefits
- Hybrid work model with flexibility and WFA options.
- Private health insurance and comprehensive well-being support (gym, psychologist/psychotherapist).
- Vast internal and external learning resources and professional guilds.
- Yearly workations, team building budget, and internal community events.
- Modern tools, gadgets, and perks at the Cyber City office.
- Inclusive family-related time-off policy and extra days off.
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