Product Director of "Search and Recommendations" Domain at Ozon Tech

Ozon Tech is looking for a Product Director for the "Search and Recommendations" domain to elevate product leadership in this area and add additional momentum to one of the company's most crucial segments.

Search, Recommendations, and Advertising is one of Ozon Tech's key departments, determining how customers find and choose products on the marketplace. They develop services that form product showcases and directly impact customer experience, conversion, and business economics. Every day, millions of customers order products found through search and recommendations.

You will grow sales and improve the user journey together: looking into the bright future and developing next-generation e-commerce with widespread AI adoption, as well as looking into the less-than-bright past and improving the performance of core mechanisms. The team consists of ~20 people in product and ~300 in development. Location: preferably Moscow. Context: trillions of rubles in GMV, billions of products displayed daily, tens of millions of orders collected, processing a huge amount of data, ML of all types and sizes, research, and A/B tests. A desire to run fast and cause irreparable benefit is required.

What is required from the candidate:

• Strong Product Thinking. This is the main criterion. They are looking for a person with strong product intuition and proven leadership experience in a large B2C product, who knows how to find growth points, improve service quality, and turn complex user problems into understandable and feasible product solutions. You will be working in a domain where there are no easy answers: you need to operate at the intersection of user value, technical constraints, ML mechanics, and marketplace economics. Experience in e-commerce, search, or recommendation systems will be a plus.
• Technical Acumen. Machine learning is widely used in the products: ranking models, foundation models, and LLMs in large-scale production systems. Candidates are expected to understand how ML systems, NLP / RecSys / LLM work, where the boundaries of technology applicability lie, and what compromises arise during implementation. Experience with LLM-based products will be a plus.
• Data-Driven Approach. Billions of products are shown to customers daily, generating tens of millions of orders – this provides a vast amount of signals but requires a high culture of data interpretation. You need to be able to formulate hypotheses, design experiments, correctly read A/B test results, and make decisions based on quantitative and qualitative signals. Strong analytical skills are expected: confident work with metrics, statistics, and an experimental approach.
• Team Management. You will manage product teams, develop people, raise the overall bar, set clear expectations, provide direct feedback, and hire strong employees. Proven experience managing a team of product managers is expected.
• Cross-Functional Collaboration. In this role, you will have to work extensively with development leads, analysts, designers, and business vertical leads in adjacent teams. You need not only to be able to devise optimal solutions but also to ensure their implementation, guiding the large organization in the right direction.

What is NOT required from the candidate:

• PnL Management. PnL management is not within the scope of this role, as our team is not a standalone business unit.
• Strategy Creation. We have a formed understanding of key goals, priorities, and growth points. We expect not the construction of a strategy from scratch, but the ability to strengthen and develop the current course: improve the quality of product solutions, find new opportunities within the domain, and help teams bring strong ideas to fruition faster.

Vision of Success:

• The team expects that with the arrival of this role, one of Ozon's key directions will gain more momentum, depth, and a higher bar for product quality. Important growth opportunities will be identified and turned into strong solutions more quickly, hypotheses will be better developed, and teams will more confidently bring complex initiatives to completion.
• For the candidate, this is an opportunity to take on a role of significant scale and influence in one of the company's most technologically rich product domains: working with strong teams, complex ML-driven systems, and products that influence the choices and purchases of millions of people every day. The outcome should be stronger solutions for customers, a greater contribution from the domain to key business metrics, and a more mature level of product leadership within the direction.

Work Format:

• Hybrid, 50% of the time in the office. Moscow / St. Petersburg, preferably Moscow, as the main part of the product team is located there.