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Global data ecosystem linking intelligence providers

Senior Product Manager

Technical Product ManagementUpdated on Nov 13
Full-timeVilnius, Vilnius City Municipality, Lithuania€5k - €7k /moHybrid

About the Job

Requirements

  • At least 3 years of product management experience, with a track record of building API-first or developer-facing B2B products, or meaningful experience in 0-to-1 early-stage product launches.
  • Deep familiarity with the current AI landscape, including large language models, AI agents, retrieval-augmented generation, and MCPs, or strong technical comfort with REST APIs, web infrastructure, and data formats such as JSON and HTML.
  • Ability to connect technical product decisions to business outcomes, pricing, and revenue growth using data and telemetry.
  • Comfort operating with significant ambiguity and using product intuition to make progress without a clear roadmap or established playbook.
  • Ability to write clear specifications, present convincingly to stakeholders, and explain complex technical or AI concepts to non-technical teams.

Responsibilities

  • Define, prototype, and validate new AI-native product concepts, moving quickly to discover where large language models and intelligent automation create value.
  • Own the vision and roadmap for the core scraping API suite, balancing developer experience, data quality, and enterprise-grade scalability.
  • Run structured discovery with enterprise buyers, data engineers, or early adopters to distinguish real customer problems from stated preferences.
  • Collaborate closely with engineering teams to architect API solutions or design AI product experiences and ship high-quality features.
  • Track usage telemetry, expansion revenue, and technical metrics to make evidence-based commercial decisions.
  • Communicate uncertain bets, roadmap trade-offs, and market gaps to help leadership make informed decisions.

Desired Qualifications

  • 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 at an early-stage startup or in a new ventures or innovation team within a larger company.
  • Background working with machine learning teams on model evaluation, prompt engineering, or AI product quality assurance.

About the Company

Source

Global data ecosystem linking intelligence providers

The company operates as a data ecosystem that connects several independent tech firms—Oxylabs, Decodo, Webshare, ScrapingBee, Honeygain, and upcoming ventures—under shared standards, strategic support, and a commitment to responsible access to data. Each member company runs its own team and product, but they collaborate through common intelligence and scale to serve a wider market. Their approach is to provide a networked set of data tools and services that collectively enable customers to access and use data more efficiently. The goal is to empower the next generation of data-powered products and decisions by offering interoperable capabilities and scalable data access while maintaining clear accountability for data use.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
2012

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