What you will be doing

1. Advertising campaigns (full ownership):

• Independent setup, management, and optimization in Google Ads (Search, Display, YouTube, Shopping), Yandex.Direct (Search, RSYA), VK Ads, and Telegram Ads.
• Budget management (daily adjustments, channel allocation, fund transfers between campaigns).
• A/B testing: creatives, ad copy, audiences, offers, landing pages.

2. Analytics and reporting:

• Setting up goals, events, and e-commerce in GA4 and Yandex.Metrica.
• End-to-end analytics: linking expenses with CRM data (leads → sales) via DataLens / Power BI / Tableau.
• Weekly and monthly reports on key metrics: CPL, CPA, ROAS, ROMI, CAC, LTV, CTR, CR, paid traffic share.

3. Funnel optimization:

• Analysis of user behavior on the website (heatmaps, behavioral factors).
• Working with retargeting and look-alike audiences to scale to new users.
• Continuous management of negative keywords and search queries (semantics).

4. Interaction with teams:

• Assigning tasks to designers (banners, videos) and copywriters (USPs, headlines).
• Collaboration with SEO specialists to synchronize paid and organic strategies.
• Coordination of promotions and offers with product and sales teams.

5. Working with contractors and tools:

• Supervision of agencies and freelancers (if part of the tasks are outsourced).
• Use of automation tools: bid managers, feed managers, competitor parsers.

Key Performance Indicators (KPI)

• Achievement of monthly lead / sales plan.
• Adherence to target CPL / CPA values.
• Growth in ROAS / ROMI compared to the previous period.
• Share of paid traffic in total revenue (not exceeding the established threshold).
• Marketing investment payback period.

Requirements:

• At least 3 years of experience in performance marketing.
• Budget management of 1,500,000 ₽ per month or more.
• In-depth knowledge of Google Ads and Yandex.Direct (including all campaign types).
• Experience setting up GA4 and Yandex.Metrica (goals, events, segments, attribution).
• Understanding of unit economics: calculation of CAC, LTV, ROMI, and profitability.
• Advanced proficiency in Excel / Google Sheets (pivot tables, VLOOKUP/INDEX-MATCH, Power Query).
• Experience assigning tasks to a creative team.

Will be a strong advantage:

• Experience in your niche (e-commerce / fintech / SaaS / edtech).
• Knowledge of SQL for data extraction from databases.
• Experience with advertising system APIs (report automation).
• Python skills (basic data analysis).
• Google / Yandex certifications.

Conditions:

• Official salary, fixed base salary to be discussed at the interview;
• Employment according to the Labor Code of the Russian Federation;
• Work schedule: 5/2, 09:00-18:00 hybrid;
• Discounts on company products;
• Work location: Skhodnenskaya metro station, "Kaleidoscope" Business Center (short walk from the metro).