Senior Data Product Manager

Location: Vilnius, Lithuania; hybrid workplace

Gross salary: €5,700–€6,700 per month, with flexibility based on skills and competencies

Company

hirify.global develops proxy and web data scraping solutions and data products for businesses worldwide.

What you will do

• Own the Data Product roadmap end-to-end and define how datasets evolve.
• Design and ship multi-source datasets by combining inputs into differentiated customer value.
• Productise ML and AI capabilities within data products.
• Make tradeoffs across coverage, precision, latency, cost, and model readiness.
• Define customer-facing data quality standards covering accuracy, completeness, and freshness.
• Conduct customer discovery and align the roadmap with Sales, Customer Success, and Marketing.

Requirements

• At least 5 years of experience as a Product Manager, Technical Product Manager, or Senior Product Owner.
• Strong product thinking focused on discovery, customer research, prioritisation, and outcomes.
• Technical fluency with data pipelines, schemas, transformations, and inferred fields.
• Experience designing or shaping datasets as products and defining how their fields evolve.
• Experience working with cross-functional teams and stakeholders outside Product.
• Strong written and verbal English communication skills.

Nice to have

• Experience with B2B data, SaaS, or API products.
• Hands-on familiarity with extraction, transformation, storage, enrichment, and data delivery.
• Experience treating data quality as a customer commitment.
• Experience splitting or scaling product squads or joining a newly formed team.
• Familiarity with LLMs, embeddings, or semantic search consuming structured data.

Culture & Benefits

• Access to 40+ internal learning options, external conferences, mentorship, and knowledge-sharing.
• Private health insurance, psychotherapy, 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 work equipment.

Hiring process

• Artificial intelligence tools may support application review and assessment.
• Final hiring decisions are made by people.