Company

Data Team

TechnicalProductManager(DataSearch&AIsquad)

€5–6k Vilnius, Lithuania Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Technical Product Manager (Data Search & AI squad). Skills: Data Search, AI, Semantic search, Agentic search. Own product strategy and roadmap. Lead productisation of semantic search”

Industry & Context.

Data Team
Problems you'll solve

Solving challenges; Tradeoff calls; Coverage vs precision; Hallucination tolerance

What They're Looking For.

Must Have

3+ years Product Manager experience, AI/ML/Search product experience, Working understanding of modern AI, Product thinking, Comfort making product tradeoffs in AI, Experience defining evaluation frameworks, Experience working with cross-functional teams, Comfortable operating in ambiguity

What You'll Do.

Own product strategy and roadmap

Lead productisation of semantic search

Lead productisation of agentic search

Shape AI stack at product level

Design eval sets and metrics

Use metrics to drive iteration

Decide when models are good enough

Drive customer discovery

Partner with Data Product squads

Partner with Platform squads

Work with stakeholders outside Product

How You'll Work.

Team & Collaboration

Cross-functional teams; Data Product squads; Platform squads; Sales; Customer Success; Engineering leadership

Process & Methodology

Roadmap, Prioritisation, Owning outcomes

Full Job Description

## Description We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.  What’s in store for you: You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership. ## Your day-to-day Own the product strategy and roadmap for Data Search & AI - what we build, why, and how it ladders up to the company's agentic search bet. Lead the productisation of semantic search and agentic search over our data: deciding what queries we support, what "good" answers look like, and how AI capabilities are exposed to customers. Shape the AI stack at a product level - embedding models, retrieval strategies, ranking, reranking, agent design - making the tradeoff calls between relevance, latency, cost, and quality. Own evaluation: design the eval sets and metrics that determine whether the search is actually good, and use them to drive iteration. Decide when models are good enough to ship and when they need more work - coverage vs precision tradeoffs, hallucination tolerance, when to fall back to deterministic approaches. Drive customer discovery on how customers actually want to query our data - what they ask, what frustrates them today, what an AI-native interface should let them do that a traditional API or UI cannot. Partner closely with the Data Product and Platform squads on what data is being indexed and what new datasets unlock new search capabilities. Work with stakeholders outside Product - Sales, Customer Success, Engineering leadership - to keep the squad connected to commercial and operational reality. ## To be successful you need to have At least 3 years of proven experience as a Product Manager or Technical Product Manager on a p

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