Job Description
Join QuantumLeap Digital at the forefront of digital transformation! We're seeking an AI-Driven SEO Strategist to revolutionize search visibility through cutting-edge artificial intelligence. This senior role will architect next-gen SEO frameworks, leveraging predictive analytics and machine learning to dominate 2026's digital landscape.
Shape how brands connect with audiences in the AI era. You'll lead cross-functional teams in developing autonomous optimization systems, pioneer neural network-driven content strategies, and pioneer real-time SERP manipulation techniques. Perfect for visionaries who thrive at the intersection of technology and marketing.
Enjoy unparalleled benefits: equity in our pre-IPO growth stage company, flexible hybrid work in our downtown SF hub, and a $15k annual learning stipend for emerging tech certifications. This isn't just a job—it's your chance to redefine SEO for the decade ahead.
Responsibilities
- Architect AI-powered SEO ecosystems using predictive analytics and NLP models
- Develop autonomous optimization frameworks for dynamic SERP manipulation
- Lead neural network-driven content strategies with 90%+ conversion rates
- Execute quantum computing-enhanced keyword clustering for 2026 search algorithms
- Train proprietary ML models on 10M+ real-time search behavior datasets
- Coordinate cross-functional AI squads (data scientists, engineers, content creators)
- Pioneer real-time SERP prediction systems with 95% accuracy
- Drive industry thought leadership through patented SEO AI methodologies
Qualifications
- 7+ years in SEO with 3+ years implementing AI/ML solutions
- Expertise in Python, TensorFlow, and quantum computing APIs
- Proven track record developing autonomous SEO systems
- Deep understanding of 2026 search algorithm projections
- Certification in Google Cloud AI and AWS Machine Learning
- Published research on neural network-driven content optimization
- Experience leading cross-functional AI development teams
- Mastery of real-time data processing frameworks (Apache Kafka, Spark)