Engineering manager

Oxylabs is an 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 Search team collects public data from the world's biggest search engines at a massive scale of billions of requests per week to keep the internet free and open. As an Engineering Manager, you will partner with our Tech Lead to grow the team, shape our autonomous working methods, and ensure our products remain fast, stable, and reliable. With our data powering entire industries and top AI labs, we are constantly adapting to rapid environmental changes and new technologies launched by search engines. Your challenge is to lead the team through complex technical problems - like deep packet inspection and browser patching - while maintaining high data integrity, strict SLA adherence, and a healthy work-life balance for the engineers. In this role, you will: - Apply our leadership principles to guide your team and drive results - Own the team's operational results, ensuring high success rates, data integrity, fast response times, and strict adherence to SLAs - Guide the team through complex technical challenges, including browser patching, network traffic analysis, and building self-healing autonomous scrapers - Establish and continuously improve the team's autonomous delivery processes, focusing on actual results rather than traditional sprint rituals - Balance rapid incident response with strategic, long-term engineering work to eliminate root causes of problems - Hire, mentor, and protect the team from burnout by sharing the load fairly and aligning with product stakeholders on critical priorities Your skills & experiences: - Background as a software engineer with proven experience leading and scaling engineering teams in production environments - Deep understanding of web fundamentals, including HTTP, browsers, system design, and networking, to effectively guide complex technical decisions - Strong data-driven decision-making skills with a focus on tracking reliability and performance metrics - Ability to stay calm, adapt quickly, and thrive in a fast-paced environment where priorities shift based on external technological changes - Good English communication skills, capable of thriving in an international, hybrid team setting Nice to Have: - Experience with Python or Go - Experience with web scraping, anti-bot systems, or network protocols (we will teach you if you don't have it) - Experience with browser internals (Chromium, Firefox) - Don't meet everything above? Apply anyway. We're looking for what's next, not what's already been done Tech stack: - HTML, - JavaScript, - REST APIs, - GIT, - CI/CD, - JIRA (Python / Go is a plus) Salary & Benefits: - Gross salary: from 6500 - 8600 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://source.ai/career/blog/benefits 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. 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.