About the Role
At Benrey, content is a system to run, not text to write. We operate multi-domain, multilingual platforms across seven international markets and six languages. In our competitive verticals, manual writing and manual optimization cannot scale. If a task is repeatable, our goal is to automate it.
We are looking for an SEO Content Specialist (AI & Automation) to own this system end to end. You will decide what to build based on SERP evidence, define what "good" looks like across different languages, and run automated pipelines that deliver high-quality, factually accurate content at a sustainable unit cost.
You don’t need a computer science degree for this role. We are looking for an SEO specialist with a sharp editorial eye and a builder’s mindset. You can immediately tell the difference between polished AI filler and truly authoritative, search-aligned copy and you can pinpoint exactly why a draft fails so the underlying system can be improved. At the same time, you love practical automation: using APIs, lightweight Python or JavaScript, and AI coding assistants to take repetitive work off the table.
What You’ll Do
SERP & Demand Mapping at Scale: Turn large keyword datasets into structured content maps using SERP overlap clustering, search intent classification, and template mapping ensuring zero cannibalization between page types or markets.
Evidence-Based Production Decisions: Study search results to identify what search engines actually reward (SERP features, structured tables, direct answers, AI Overviews). Prioritize production runs based on measurable commercial value and traffic potential, not arbitrary word-count quotas.
Autonomous Multilingual Planning: Plan, cluster, and run content operations in languages you don’t personally speak. You’ll use SERP patterns, translation tools, and competitor structures to manage the workflows independently; native speakers step in for final review, but you drive the process.
Running & Tuning Content Pipelines: Run multi-stage generation workflows (Writer Grounding Editor Native Polish). You will ensure models pull from verified structured data rather than memory, keeping regulated facts (e.g., game rules, bonus terms, RTP figures) strictly accurate.
Automated Quality Control: Build automated checks that catch formatting issues, hallucinations, and tone errors before a human ever looks at the draft. When a native proofreader catches an issue, you turn their feedback into a permanent prompt adjustment or validation rule.
Building Micro-Tools & Scripts: Create small, durable scripts and workflows that remove manual work from everyday SEO tasks - whether that’s pulling SERP data, checking content gaps, generating briefs, or handling batch uploads.
Cost & Model Optimization: Keep an eye on cost per page, latency, and API usage across batch runs. You’ll test models side-by-side to find the right balance between output quality and generation cost.
Performance Feedback Loops: Track indexation rates, impressions, and ranking distributions per template and market to validate batches before scaling up generation.
What We Expect
3+ Years in SEO Content Strategy: You have planned and owned organic content performance for a site at scale, rather than just writing individual articles.
Hands-On Automation Experience: You have built at least one functional SEO or content automation powered by APIs (OpenAI, Claude, Gemini, DataForSEO, Firecrawl, Search Console, WordPress REST, or similar). You can show us what it does, talk through what broke while building it, and explain its unit cost. Functional workflows built in Make or n8n count if you understand their limits.
Pragmatic Scripting Skills (Python or JavaScript): You can read, adapt, and troubleshoot your own scripts. Using AI coding tools (Cursor, Claude Code, Copilot) is fully encouraged - you don’t need to write code from scratch from memory, but you must understand the logic and be able to
