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1 день назад

Technical Product Manager (AI/Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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