We are at the stage of searching for product-market fit: there are no established processes, priorities change frequently, and decisions are made based on experiments and user feedback.
Responsibilities
- Identify non-obvious client problems and turn them into product solutions
- Use AI tools (including vibe coding) and no-code to quickly create MVPs and interface prototypes
- Quickly test hypotheses, proactively make decisions based on experiment results
Requirements
- Commercial Python development experience, understanding of product architecture — from backend to interface
- Experience working with LLMs: integrating models into a product, working with prompts and APIs
- Experience working with Kubernetes for deploying services
- Practical experience with AI tools (including vibe coding)
- Experience with independent prototyping and rapid hypothesis testing
- Willingness to work in conditions of uncertainty, limited resources, and changing priorities
- Experience in early-stage projects (startups, MVP, 0→1) will be a plus
Conditions
- Flexible hybrid (discussed individually).
- Modern IT office near Moscow City with a fitness room.
- Mortgage with employee benefits and preferential lending terms.
- Free SberPrime+ subscription.
- Discounts on partner company products.
- Voluntary medical insurance from day one and preferential insurance for loved ones.
- Corporate pension program.
- Company-sponsored training: online courses at Sber's online school and unlimited library access, training at the Corporate University, workshops, meetups, and the opportunity to obtain new qualifications.
- Largest DS&AI Community — over 600 bank DS professionals, regular knowledge and experience exchange, best practices, interactive lectures and masterclasses from leading universities and tech companies, digest of the latest DS&AI developments and reports from major global conferences.
