product manager for web data infrastructure

Oxylabs provides enterprise-grade web data infrastructure for organizations operating at global scale, including scraping APIs. It is part of Source, a data ecosystem focused on responsible access to web data.

• Define, prototype, and validate new AI-native product concepts, identifying 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 scalability
• Conduct structured discovery with enterprise buyers, data engineers, and early adopters to identify customer problems
• Collaborate 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 guide evidence-based commercial decisions
• Communicate uncertain bets, roadmap trade-offs, and market gaps to help leadership make informed decisions

• At least 3 years of product management experience
• A track record of building API-first or developer-facing B2B products, or meaningful experience launching early-stage products from 0 to 1
• Deep familiarity with the AI landscape, including LLMs, AI agents, RAGs, and MCPs, or strong technical knowledge of 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
• Comfortable working with significant ambiguity and using product intuition without a clear roadmap or established playbook
• Excellent writing, presentation, stakeholder communication, and ability to explain complex technical or AI concepts to non-technical teams
• Будет плюсом: 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; experience working with ML teams on model evaluation, prompt engineering, or AI product QA

• Gross salary: 5000 - 7000 EUR/month; a different salary may be discussed based on skills and competencies
• 40+ Internal learning options, external conferences, mentorship, and year-round knowledge-sharing
• Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app
• Team events, an overseas workation, quarterly team-building budgets, and milestone celebrations
• Bonus vacation days, paid life-moment days off, barista coffee, and work tools
• Hybrid work (3 office days/ 2 WFH) & WFA options
• Yearly workation, year-round internal and Tesonet community events, and team-building budget
• Cyber City office perks, latest tools, gadgets, and tech stack, extra days off, and special Tesonet product deals
• Physical well-being specialists, psychologist/psychotherapist sessions, and an inclusive family-related time-off policy