Developer Experience Strategist

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 solving complex challenges and maintaining our own infrastructure with 60PB+ monthly data traffic. Here are its scale and maturity in numbers:

• 6PB+ Ceph storage
• 60PB+ monthly data traffic through our systems
• 300k+ service requests/sec processed
• 500k+ Kafka messages/sec streamed

The team waiting for you:

You’ll join a team focused on shaping our AI direction through hands-on exploration, technical insight, and a strong understanding of developer needs. Working closely with the fast-moving AI agent ecosystem, the team tests new tools in practice, turns findings into clear product recommendations, and helps ensure our products, website, documentation, and positioning resonate with a technical audience.

In this role, you’ll:

• Continuously research and test AI agent tools, developer products, and emerging infrastructure players, then turn findings into clear recommendations for our product and go-to-market direction
• Use our products end-to-end from a developer perspective, auditing the experience across product flows, website, docs, and technical messaging to identify friction, gaps, and misleading positioning
• Track changes in the AI and agent ecosystem, including MCP, browser-use standards, agent-to-agent patterns, and new developer workflows, and highlight what matters most for our product strategy
• Maintain a living view of the agent tooling landscape, including frameworks, SDKs, key competitors, and emerging categories relevant to proxies, scraping, and developer infrastructure
• Identify opportunities to connect new agent-facing use cases and integrations with our existing proxy and scraping capabilities
• Represent our technical direction in external communities by engaging with developers, following open-source conversations, and sharing ecosystem insights back with internal teams

Your skills & experience:

• 2+ years of hands-on software development experience, with a strong understanding of developer workflows, technical products, and how developers evaluate tools in practice
• Strong understanding of the AI tooling landscape, with hands-on curiosity around agents, LLM applications, developer tools, APIs, and technical workflows
• Ability to evaluate products critically from a developer-user perspective and translate observations into concrete product, positioning, or integration recommendations
• Strong written and verbal communication skills, with the ability to summarize complex technical trends clearly for both technical and non-technical stakeholders
• Comfortable working in a fast-changing space, forming opinions with incomplete information, and adjusting quickly as the ecosystem evolves

Nice to have:

• Familiarity with proxy, scraping, browser automation, or data extraction products
• Exposure to AI agent frameworks, browser-use tools, MCP-related developments, or developer infrastructure ecosystems
• Experience participating in technical communities, open-source ecosystems, conferences, or Discord/Slack developer groups

Salary & Benefits:

• Gross salary: from 2800 EUR/month to 5600 EUR/month. Keep in mind that we are open to discussing a different salary based on your skills and experience
• 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! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.