About Oxylabs
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.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
•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
