AI/LLM SEO Expert, Global

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. We seek an AI/LLM SEO specialist who combines machine learning engineering expertise with advanced SEO knowledge to build scalable automation systems that drive organic growth. This role architects and deploys Python-based SEO tools, LLM-optimized content strategies, and ML-powered analysis frameworks to accelerate our market share growth in organic search traffic. Responsibilities:

Build automated SEO monitoring and diagnostic systems using Python, BigQuery, and ML frameworks to analyze 500K+ pages at scale

Develop LLM-optimized content strategies targeting AI Overviews, ChatGPT, Perplexity, and other generative search platforms

Design and implement ML-based internal linking recommendation engines (graph databases, semantic similarity models) to replace manual link building

Create automated content quality assessment systems using NLP/LLM APIs to identify thin content, duplicate issues, and optimization opportunities

Build custom SEO APIs and MCP servers integrating Google Search Console, Ahrefs, DataForSEO, and internal analytics for Claude/AI agent workflows

Develop Python scripts for log file analysis, crawl pattern optimization, and automated technical SEO auditsEngineer real-time performance dashboards combining organic traffic, conversion attribution, and competitive positioning metrics

Implement E-E-A-T signal optimization through automated authorship systems, schema markup generation, and structured data validation

Train and deploy ML models for keyword clustering, search intent classification, and cannibalization detection across multi-language content

Build automated QA frameworks for SEO validation in CI/CD pipelines (schema testing, hreflang validation, indexation checks)

Requirements:

5+ years combining software engineering/ML with hands-on SEO execution (not just theory)

Strong experience with BigQuery, SQL, and data warehouse architectures for SEO analytics

Strong Python programming experience: pandas, scikit-learn, API integrations, web scraping, data pipeline orchestration

Understanding of NLP, semantic search, entity recognition, and knowledge graph concepts

Deep understanding of LLM architectures, prompt engineering, and RAG systems for search optimization

Proven experience building SEO automation tools that drive measurable organic traffic growth

Expertise in SEO APIs: Google Search Console API, Ahrefs API, DataForSEO, custom crawler development

Experience with cloud platforms (GCP/AWS) and workflow orchestration (Airflow, Cloud Composer)

Demonstrated ability to translate business requirements into technical specifications and working code

Familiarity with modern web technologies: JavaScript rendering, SSR/CSR, Core Web Vitals optimization

Experience in cryptocurrency/fintech industry is a strong plus

Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be a strong advantage