Senior Product Manager
Summary
Senior Product Manager at Oxylabs (Vilnius) owning either the core scraping API suite for enterprise clients or 0-to-1 AI-native product ventures. Day-to-day is customer discovery, roadmap ownership, and close work with engineering on REST APIs, web data, and LLM-based products.
Enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale. It helped define what public web data access could look like and still sets the standard others build against.
That same ambition runs through the culture: engineers take ownership of problems no one else has solved and push each other to raise the bar.
The team waiting for you:
The Product team owns our core scraping API suite and is actively exploring new frontiers in the fast-moving AI landscape. As we expand, we are looking for Product Managers to join two distinct tracks: scaling our developer-loved API products for enterprise clients, or spearheading our 0-to-1 AI-native ventures. With the rapid evolution of data needs and AI capabilities, we are simultaneously growing our established enterprise offerings and building entirely new product categories from the ground up. Whether you are solving the technical complexities of scaling data infrastructure or navigating the ambiguity of early-stage AI innovation, this is your chance to drive Oxylabs' next wave of growth.
In this role, you’ll:
- Own the 0-to-1 AI journey: Define, prototype, and validate new AI-native product concepts, moving fast to discover where large language models and intelligent automation unlock genuine new value.
- Drive API excellence: Own the vision and roadmap for our core scraping API suite, balancing developer experience, data quality, and enterprise-grade scalability.
- Understand the customer deeply: Run structured discovery with enterprise buyers, data engineers, or early adopters to distinguish real customer problems from stated preferences.
- Partner with Engineering: Collaborate tightly with engineering teams to architect API solutions or design AI product experiences, shipping high-quality features at pace.
- Grow adoption & revenue: Track usage telemetry, expansion revenue, and technical metrics to make confident, evidence-based commercial decisions.
- Build internal conviction: Communicate clearly about uncertain bets, roadmap trade-offs, and market gaps to help leadership make confident decisions in a fast-changing environment.
Your skills & experience:
- Product Experience: 3+ years in product management, with a track record of building API-first/developer-facing B2B products OR meaningful experience in 0-to-1 early-stage product launches.
- Domain Fluency: Deep familiarity with the current AI landscape (LLMs, AI agents, RAGs, MCPs) OR strong technical comfort with REST APIs, web infrastructure, and data formats (JSON, HTML).
- Customer & Commercial Acumen: Proven ability to connect technical product decisions to business outcomes, pricing, and revenue growth using data and telemetry.
- Entrepreneurial Drive: Comfort operating with significant ambiguity, utilizing strong product intuition to make progress when there's no clear roadmap or established playbook.
- Communication: Excellent ability to write crisp specs, present convincingly to stakeholders, and explain complex technical or AI concepts to non-technical teams.
Nice to Have:
- Hands-on experience building or shipping AI-native products (copilots, agents, AI search, intelligent data tools).
- Familiarity with web data, crawling infrastructure, or data extraction as a domain.
- Experience at an early-stage startup or within a new ventures / innovation team inside a larger company.
- Background working with ML teams on model evaluation, prompt engineering, or AI product QA.
Tech stack:
- REST APIs,
- JSON,
- HTML,
- Large Language Models (LLMs),
- AI Agents,
- Embedding Models,
- RAGs,
- MCPs,
- Machine Learning (ML).
Salary & Benefits:
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Gross salary: 5000 - 7000 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.
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Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
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Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
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Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
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Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need.
Oxylabs is part of Source, a data ecosystem for a world built on intelligence. One of five independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.
Skills
As published by lever · 5 questions · 4 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, Link to your profile (Linkedin/Github etc.) URL
Pick from a list (1)
- Would you be able to work at least 3 days per week at the Vilnius office?
Written answers (4)
- Which product track interests you more and better aligns with your experience: building new AI-native products from scratch (0-to-1) or scaling enterprise-grade Web Scraper APIs? Briefly explain why. optional
- Describe the most complex B2B, API, or AI product (or feature) you have successfully launched or scaled. What was your specific role in the process, and what was the business or customer impact? optional
- Share an example of how you collaborated with an engineering team to solve a complex technical challenge (e.g., related to API architecture, data infrastructure, or LLM/ML integration). How did you ensure the technical solution delivered real user value? optional
- Working with new or fast-growing products often requires making decisions with incomplete information. Tell us about a time you had to validate a product idea or make a strategic decision without perfect data or an established playbook. How did you approach it? optional