SEO Automation Engineer

About the role

Eneba is looking for an SEO Automation specialist to join its marketing team, which aims to become the leading marketplace for gamers. You will own SEO automations, building programs from scratch and setting their long-term direction rather than just maintaining existing ones. The role sits on the onsite side of SEO (strategy, technical SEO, e-commerce/marketplace/hub optimization) and works closely with the offsite team on link acquisition, publications and content.

Key responsibilities

• Identify repetitive, manual SEO workflows and automate them end-to-end.
• Build and maintain scripts, data pipelines and internal tools (Python/JS, APIs, GitLab).
• Design and run AI/LLM and agentic workflows for content, QA, internal linking and AI-visibility, with quality control at scale.
• Build programmatic and technical SEO systems (template/feed-driven pages, structured data, crawl and indexation health).
• Pull and model SEO and traffic data (DataForSEO, SimilarWeb, GSC, Mixpanel, Databricks) into usable outputs.
• Partner with SEO specialists, content and engineering/product teams to ship and integrate automations.
• Measure impact, iterate and document or hand off tooling to the team.

Required profile

• Proven track record of automating meaningful SEO work, with a portfolio of scripts, tools or pipelines (SEO or engineering background both welcome).
• Experience applying LLMs and agentic AI to real workflows (content, QA, internal linking or AI-visibility) with quality control at scale.
• Solid technical and programmatic SEO foundation: crawl budget, indexation, structured data, template/feed-driven pages.
• Good English required; fluency preferred.

Required skills

• Fluency with core SEO and data tooling (GSC, GA4 and a DataForSEO/Semrush/Ahrefs-class stack)
• Nice to have: agent/agentic-framework building, data engineering (Databricks/SQL/ETL), WordPress at scale, marketplace/e-commerce/gaming SEO, multi-market/international SEO

What we offer

• Employee stock options program
• Bonus systems: performance-based, referral, additional paid leave and a personal learning budget
• Paid volunteering opportunities
• Choice of work location: office, remote or a mix with travel
• Well-defined feedback and promotion processes