What will be the key mission of the CTO
We are looking for not just a development lead, but a technological leader who will build a next-generation engineering organization.
From the future CTO, we expect:
- Building an AI Native Engineering Organization;
- Implementing AI PDLC as the primary development process;
- Organizing the work of autonomous Tiny Teams;
- Creating a culture of continuous experimentation and rapid hypothesis-to-product deployment;
- Extensive use of AI for automation of engineering activities;
- Reducing the time for the full cycle Idea → Prototype → MVP → Production;
- Forming an engineering culture where the speed of learning and innovation adoption becomes a key competitive advantage.
Tasks:
- Define and implement the technological strategy of the direction together with the Product Lead and the business;
- Be responsible for the development and evolution of the key products of the direction: a next-generation mobile application, an AI assistant, a personalized risk profile platform, and intelligent services for improving quality of life and longevity;
- Form an AI Native engineering organization that ensures high speed of new product and feature releases;
- Implement modern AI PDLC practices at all stages of the AI product lifecycle — from idea and research to industrial operation;
- Organize an effective research (R&D) process, rapid prototyping, and product hypothesis validation;
- Lead several autonomous engineering teams (Tiny Teams), ensuring their high efficiency and responsibility for the final result;
- Develop Agentic AI development practices, AI Coding, and the use of AI tools for automation of engineering activities;
- Form a scalable AI-first product architecture that ensures rapid deployment of new models, services, and user scenarios;
- Manage solution architecture, technical debt, and technological risks;
- Ensure reliability, scalability, observability, and security of industrial-grade services;
- Develop an engineering culture based on automation, continuous learning, experimentation, and process improvement;
- Form the technological roadmap of the direction and ensure the achievement of business and product goals.
Requirements:
- Experience leading multiple development engineering teams for at least 2 years;
- Experience in creating and developing modern digital products with high delivery speed of changes;
- Experience in forming and implementing product technological strategy;
- Practical experience in building industrial-grade mobile and backend product architectures;
- Experience in managing architecture, development quality, and technical debt;
- Practical experience in implementing AI PDLC or similar AI product development processes;
- Deep understanding of the AI product lifecycle: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement;
- Understanding of modern approaches to developing LLM applications, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration, and Retrieval-Augmented Generation (RAG);
- Practical experience in applying modern AI development tools (Cursor, Claude Code, GitHub Copilot, etc.);
- Experience in building R&D processes, rapid prototyping, and product hypothesis validation;
- Experience organizing the work of autonomous engineering teams (Tiny Teams);
- Experience in developing mobile applications and high-load backend services;
- Understanding of principles for building personalized digital services and working with user data;
- Understanding of modern DevSecOps, CI/CD, Observability, and Platform Engineering practices;
- Experience in effective interaction with product teams and business.
Will be an advantage:
- Experience creating AI-first products based on modern LLMs;
- Experience building agent platforms or multi-agent systems;
- Experience implementing AI Native Engineering in an engineering organization;
- Experience organizing AI Quality Engineering, Continuous Evaluation, and AI Observability processes;
- Experience creating personalized recommendation systems;
- Experience developing AI Copilot, AI Assistant, or AI Agent products;
- Experience in MedTech, HealthTech, Digital Health, or Wellness;
- Experience creating mobile consumer products with high daily user activity (DAU/MAU);
- Understanding of modern Product Discovery, Experiment Driven Development, and Lean Startup approaches.
Conditions:
- Format: Hybrid (from 2 days a week, metro Technopark).
- Health Care: Free access to telemedicine and in-person appointments at private clinics (including dentistry and psychology sessions);
- Benefits: Mortgage conditions from Sberbank.
- Development: Individual development plan for everyone, which will help you always see the vector of your path;
- Learning: English with a corporate teacher and discounts on courses at Skyeng, compensation for training from leading platforms in the market;
- Stability and Comfort: Official employment, stable payments, paid sick leave and vacation, modern equipment;
- Sports: Partial compensation for sports club membership, free squash and football sessions.
