ironquill.tech/board

$ cat jobs/head-of-engineering-yotpo-f2fc9f7c7931.json

Head of Engineering

Yotpo·Worldwide·Tel Aviv·mid
llm
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Yotpo is leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, Yotpo delivers seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth. If you’ve ever asked ChatGPT or Perplexity a shopping question, you’ve already glimpsed the next frontier of eCommerce where Large Language Models (LLMs) shape how consumers discover and trust brands. That’s where Yotpo Discover comes in. We’re leading Yotpo’s mission to make brands visible, cited, and trusted in this new world of AI-driven discovery. We are pioneering the industry's transition from traditional SEO to AEO (AI Engine Optimization) . Our team works like a startup inside Yotpo—fast, hands-on, and driven by curiosity. We experiment, build, and launch new AI-powered products that redefine how brands connect with shoppers in the age of conversational search. As we explore this emerging domain, we’re looking for a Head of Engineering to own technical execution and build a world-class engineering team to win this new market. What You Will Do As the Head of Engineering for Discover, you will own the technical strategy, execution, quality, and delivery of the product. Execution & Delivery Ownership: Own the end-to-end execution of our engineering roadmap. You will unblock technical hurdles, and stabilize our MVP infrastructure to support complex, multi-brand, and agency-level scale. You ensure that we ship robust, performant code at startup speed. Hands-On Technical Leadership: This is a highly active role. You aren't just managing from a distance; you will write code, build prototypes, review PRs, and work side-by-side with your engineers to design scalable systems (LLM pipelines, data ingestion, and event-driven architectures). E

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