Product Manager (Native AI Products & New Ventures)

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 developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership. **Are you excited about building AI-native products from the ground up—not layering AI onto existing workflows, but rethinking what's possible?** Do you want to explore new product frontiers, run bold experiments, and define entirely new categories in a fast-moving AI landscape? At Oxylabs, we're looking for a **Product Manager** to spearhead our next generation of AI-native products and new ventures. **The team waiting for you:** In this role, you won't be managing an existing portfolio—you'll be creating one. You'll identify where AI unlocks genuine new value for our customers, design and test new product concepts at pace, and build the foundations for Oxylabs' next wave of growth. This is a greenfield role for someone who thrives in ambiguity and loves the 0-to-1 journey. ### In this role, you’ll: - **Explore New Opportunities:** Scan the AI and data landscape continuously—talking to customers, studying competitors, following research—to identify where Oxylabs can create genuinely new value with AI. - **Own the 0-to-1 Journey:** Define, prototype, and validate new AI-native product concepts from early hypothesis to first paying customers. Move fast, kill what doesn't work, double down on what does. - **Drive AI Product Strategy:** Develop a clear point of view on how large language models, AI agents, and intelligent automation can be built into Oxylabs' products—and make the case internally to invest in the right bets. - **Partner Engineering:** Work alongside product engineers to design AI product experiences, define evaluation criteria, and ship production-ready AI features. - **Shape the Customer Experience:** Ensure that AI capabilities aren't just technically impressive—they solve real user problems in ways people want to use. Champion simplicity and clarity in AI product design. - **Build Internal Conviction:** Communicate clearly about uncertainty, trade-offs, and early signals. Help leadership and stakeholders make confident bets in a fast-changing environment. ### Your skills & experience: - **Experience:** 2+ years in product management, with meaningful experience building new products—ideally including at least one 0-to-1 or early-stage product launch. - **AI Product Fluency:** Deep familiarity with the current AI landscape—LLMs, AI agents, embedding models, RAGs, MCPs, and how these technologies translate into real product value (not just demos). - **Entrepreneurial Drive:** Comfort operating with significant ambiguity. You know how to make progress when there's no roadmap, no clear answer, and no established playbook. - **Customer Discovery:** Strong discovery and validation skills—able to distinguish real customer problems from stated preferences and design experiments to test assumptions cheaply and quickly. - **Product Instinct:** A strong intuition for what makes AI products feel magical versus frustrating, and the judgment to make the right call without waiting for perfect data. - **Communication:** Able to build internal alignment around uncertain bets, write compelling product narratives, and explain complex AI concepts to non-technical stakeholders. - **Mindset:** High resilience, low ego, and a genuine love for learning in fast-moving, ambiguous environments. ### Nice to Have: - Hands-on experience building or shipping AI-native products (copilots, agents, AI search, intelligent data tools, etc.). - 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. ### Salary & Benefits: - **Gross salary****:** 5000 - 7000 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: .