The perfumery and cosmetics supermarket Zolotoye Yabloko is looking for an AI Product Lead.
You will be working in the Data Management Department: the team makes data the basis for business solutions: develops a unified data platform, analytics and reporting, and implements AI tools.
Tasks:
- Formulate and prioritize the AI product portfolio: what to do, what not to do, and in what order.
- Manage products through their full cycle: from definition to implementation and effect measurement.
- Independently set up experiments and assemble prototypes, select models and solution architectures.
- Design agent logic, prompts, rules for working with data sources, and failure behavior.
- Establish a quality assessment system for responses: reference question sets, regular labeling, accuracy metrics, checks with every change.
- Achieve real-world usage: work with teams, training, support for implementation.
- Calculate and justify the effect in measurable terms, both costs and benefits.
- Define requirements for prototypes and readiness criteria for production.
- Lead development: an engineer directly reporting to you, plus specialists from guilds and domains.
- Formulate AI development standards within the department.
Candidate Expectations:
- Experience in launching LLM solutions into production: working products with users, not pilots and demonstrations.
- Ability to independently break down a solution into components and explain the choice of each.
- Python and SQL at a level sufficient to assemble a prototype without external help.
- RAG practice: indexing, search, quality assessment of responses.
- Quality assessment practice: reference sets, accuracy metrics, behavior with incorrect answers.
- Understanding the difference between models and criteria for selection: quality, speed, cost, deployment in your own infrastructure.
- Experience managing engineers, including in a matrix model.
- Product approach: prioritization, product metrics, readiness to close unpromising directions.
- Ability to calculate benefits, not just costs.
- Ability to work with resistance to change: explain, train, bring to actual use.
Will be a plus:
- Experience with internal products: implementation among colleagues differs from working with external users.
- Text-to-SQL and work with analytical data warehouses.
- Analytical subject area: metrics, reporting, BI.
- Experience with locally deployed models and evaluating their cost.
- Retail or e-commerce.
Conditions:
- An accredited IT company that creates and develops one of the top 10 largest online stores in the country.
- Personal salary offer and official employment.
- Flexible schedule and remote work option.
- Career consultant assistance for choosing an individual development path.
- A broad social package including dental care, office meal compensation, discounts, and partner bonuses — everything to make life and work comfortable.
- Modern work equipment.
- Stylish and cozy office in the center of Yekaterinburg and Moscow – if you prefer to visit the office.
- A corporate culture with a similar spirit and special energy — you'll feel like you belong here.
- English language learning at GA English Club, compensation for training, and development in our own online university.
- No restrictions on dress code or appearance.
