Requirements

• 3+ years of experience in SEO, search analytics, content optimization, or digital search strategy, including experience identifying opportunities to improve visibility across organic search, AI-search/GEO.
• Bachelor's degree in marketing, communications, business, computer science, data analytics, engineering, or related field, or equivalent practical experience.
• Experience using tools such as Google Search Console, Google Analytics, Ahrefs, SEMrush, Screaming Frog, Bing Webmaster Tools, Baidu Webmaster Tools, Conductor, Profound, onsite search analytics, or comparable platforms.
• Passion for understanding how LLMs and answer engines discover, evaluate, and cite content, and how AI-powered search is changing brand visibility and content performance.
• Experience with onsite search platforms or relevance-tuning concepts such as synonyms, rules, boosts, facets, filters, query behavior, and search result optimization.
• Working knowledge of HTML, CSS, JavaScript, CMS platforms, and how web development decisions impact search visibility and user experience.
• Strong analytical skills with the ability to evaluate search visibility, rankings, traffic, engagement, conversions, content performance, SERP features, prompt behavior, competitor activity, and AI visibility signals, then translate findings into clear insights, prioritized recommendations, and measurable optimization plans.
• Strong communication and stakeholder management skills, with the ability to translate search opportunities into actionable recommendations for content, engineering, product, analytics, and marketing teams.

Preferred

• Experience in the semiconductor industry is a plus.