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:

• 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.

• 2+ years in product management, with meaningful experience building new products—ideally including at least one 0-to-1 or early-stage product launch.
• 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).
• Comfort operating with significant ambiguity. You know how to make progress when there's no roadmap, no clear answer, and no established playbook.
• Strong discovery and validation skills—able to distinguish real customer problems from stated preferences and design experiments to test assumptions cheaply and quickly.
• 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.
• Able to build internal alignment around uncertain bets, write compelling product narratives, and explain complex AI concepts to non-technical stakeholders.
• 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.

• 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 plenty of ways to mark milestones together.
• Bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need.