The GigaChat marketing team is developing and promoting a neural network model, as well as forming an ecosystem of products around it. Its activity is aimed at making technologies accessible to a wide audience.

Responsibilities

• Ensuring sustainable growth of key business metrics (MAU, DAU, installs, authorizations, new users) through effective performance channel management and continuous funnel optimization
• Managing a marketing budget of tens of millions of rubles per month; planning, purchasing, and optimizing traffic across all key digital channels (Yandex Direct, VK Ads, DSP/Programmatic, affiliate and CPA networks, mobile tools for attracting installs, including pre-installs)
• Building end-to-end analytics and regularly calculating product unit economics (CAC, CPA, CPI, ROAS, ROMI, CIR); making decisions on scaling channels based on their effectiveness
• In-depth data analysis using SQL (desirable), advanced Excel / Google Sheets, BI systems (Tableau, Power BI, Looker), and product platforms (Amplitude, Mixpanel, AppMetrica, GA4) to find insights, formulate hypotheses, and identify reasons for metric changes
• Collaborating with the Product Manager and Growth team on improving the user journey: onboarding, activation, conversion, retention, referral mechanics, and monetization
• Building an experimentation culture: continuous A/B testing, rapid hypothesis validation with control of statistical significance of results, and seeking new growth points
• Forming the marketing team structure, hiring and developing employees, establishing work processes, and managing agencies and contractors.

Requirements

• Higher education
• Work experience: 7+ years in performance marketing
• Proven experience managing budgets of tens of millions of rubles per month
• Experience leading a team of 5–10 people, cases of scaling products with millions of users
• Deep expertise in Yandex Direct, VK Ads, DSP/Programmatic, Affiliate/CPA, Mobile Install; proficiency in economics (CAC, CPA, CPI, ROAS, ROMI, CIR); advanced skills in SQL, Excel/Sheets, BI (Tableau, Power BI, Looker), Amplitude, Mixpanel, AppMetrica, GA4; understanding of onboarding, activation, retention, referral mechanics; experience conducting A/B tests with knowledge of statistical significance.
• Knowledge of Yandex and VK advertising cabinets, DSP platforms, AppsFlyer/Adjust, Tableau/Power BI/Looker, Amplitude/Mixpanel/AppMetrica, Google Analytics 4, MMP, marketing automation systems, and CDP.
• Systems thinking, high analytical culture, ability to make decisions under uncertainty, entrepreneurial approach, leadership, results orientation

Will be an advantage:

• Experience in mass B2C products (mobile apps, AI/SaaS/subscriptions)
• Experience with AI tools.

Conditions

• Comfortable modern office near Kutuzovskaya metro station
• Corporate gym and relaxation areas
• Unique Sber learning system for professional and career development
• Adaptation program and supervisor support at the start
• Extended voluntary medical insurance and preferential family insurance
• Flexible mortgage loan discount equal to 1/3 of the Central Bank's key rate
• Prime subscription with the possibility of shared use with three close individuals
• Reward for recommending friends to the Sber team
• Corporate pension program.