Chief Technology Officer – Fractional CTO

Job not on LinkedIn

🕒 June 3

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Logo of Ancient Remedies

Ancient Remedies

51 - 200 employees

📱 Media

🛍️ eCommerce

Media • eCommerce

Ancient Remedies is a book publisher that focuses on producing high-quality, best-selling books and using strong marketing techniques to maximize their reach. The provided site text emphasizes crafting "best-in-class" books, a commitment to creating best-sellers, an average 4. 7-star catalog rating, and claims of over 100,000 books sold in more than 100 countries. The company highlights marketing and distribution to ensure global readership.

📋 Description

• Use technology and AI to massively accelerate revenue growth • Build systems that produce better ads, optimize performance automatically, and empower the marketing team • Own platform vision, roadmap, and architecture for the proprietary growth engine • Lead engineering team: hiring, quality bar, delivery cadence, and building autonomy • Develop AI strategy: creative ideation, automated ad generation, intelligent testing, cross-market translation, compliance automation • Ensure data integrity: contribution margin, attribution, performance data must be trustworthy • Drive revenue acceleration through technology: every project must connect to measurable revenue impact

🎯 Requirements

• Exceptionally sharp and fast to learn • Understanding of marketing and advertising • Experience with ecommerce, ad tech, martech, or direct-response growth systems is a massive bonus • Deeply AI-forward: using AI coding agents, understanding LLM capabilities • Capability to lead a team and build • Hands-on enough to architect systems, strategic enough to set direction • Owner-like thinking: every technical decision serves revenue growth • Ability to build autonomously given context and objectives • Nice to have: experience with internal tooling, growth platforms, or creative workflow systems • Nice to have: experience leading engineering in a fast-growth ecommerce or advertising environment • Familiarity with data pipelines, cloud infrastructure, and analytics environments

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