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Senior Data Product Manager

OxylabsVilnius, LT

ProductSenior5+ yrs
Source-verified: read directly from this employer's own lever job board, not a repost.HybridPosted (3 months ago)Last verified (today)

At a glance

Location
Vilnius, LT
Workplace
Hybrid
Pay
Not published by the employer
Employment type
Not stated
Experience
5+ years
Education
No degree requirement stated
Job family
Product
Seniority
Senior
Posted by employer
1 June 2026
Last verified open
7 September 2026
Region and country
LT
Team
Product
Listed via
Lever

What the employer wrote

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.

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.

In this role, you will: • Own the Data Product roadmap end-to-end ; decide which datasets exist and how they evolve to stay ahead of what customers can build themselves.

• Design and ship multi-source datasets by combining sources in ways customers can't easily replicate - figuring out what new value emerges when you fuse the right inputs.

• Lead the productisation of ML and AI capabilities into the data itself.

• Make the hard tradeoff calls on ML-powered fields  - coverage vs. precision, latency vs. cost, when a model is good enough to ship and when it needs another iteration.

• Define what "good" data quality means from the customer's perspective - accuracy, completeness, freshness as commitments we make to customers - and own the business-level rules that determine whether the data is correct.

• Drive customer discovery:  spend time with existing and prospective customers, understand what data problems they're trying to solve, where current datasets fall short, and what would unlock new revenue if it existed.

• Work with stakeholders outside Product - sales, customer Success, marketing - to keep the roadmap connected to commercial reality.

• Own backlog, sprint planning, and user stories - but as the natural output of strategy, not the job itself.

Your skills & experience: • At least 5 years of proven experience as a Product Manager, Technical Product Manager, or Senior Product Owner, ideally on a data, API, or platform product.

• Strong product thinking: discovery, customer research, prioritisation, owning outcomes - not just managing a backlog.

• Technical fluency : comfortable reasoning about data pipelines, schemas, transformations, and inferred fields well enough to make tradeoff decisions and have credible conversations with engineers.

• Experience designing or shaping datasets as a product — deciding what fields exist, what they mean, how they evolve.

• Experience working with cross-functional teams and stakeholders outside product (Sales, Customer Success, Marketing).

• Comfortable operating in ambiguity — this is a new role and the person needs to help shape it, not just inherit a defined role.

• Strong written and verbal communication in English.

Nice to have: • Experience with B2B data, SaaS, or API products.

• Hands-on familiarity with how data moves through a system - extraction, transformation, storage, enrichment, delivery.

• Experience working on a product where data quality is a customer commitment, not just an internal metric.

• Experience splitting or scaling product squads, or being part of a newly formed team.

• Familiarity with how LLMs, embeddings, or semantic search consume structured data - useful for working with the CASE squad.

Salary & Benefits: • Gross salary: 5700-6700 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.

• Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.

• Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.

• Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.

• Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/ .

Up for the challenge? Let’s talk!

Where this record came from

Read from Oxylabs's own Lever job board on , and last confirmed still open on . The employer published it on 1 June 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

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