AI Optimisation Manager (SEO / GEO / AEO)

New York, United States Who we are Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information-services company powered by digital innovation, analytical rigour and evidence-based insight. Across our three businesses - The Economist, Economist Enterprise and Economist Education we deliver trusted analysis and insights to individuals and organisations in more than 170 countries. United by a shared purpose to drive progress, we empower decision-makers to make sense of change and chart a course through an increasingly complex world. As a colleague, you will be part of a culture that values ideas, encourages ownership and holds itself to high standards. We invest in people who are curious, thoughtful and adaptable, whether they are launching new products, reporting on global events or harnessing emerging technologies such as AI to improve how we work. Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised. Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact. Role Overview We're looking for an AIO Manager to help evolve our search strategy for the AI-driven discovery era. This role will report to our Head of Optimization to help optimise content for AI-powered interfaces such as ChatGPT, Gemini, Perplexity, and other generative engines. You’ll play a key role in ensuring our content is discoverable, interpretable, and cited across both search and AI ecosystems. You’ll create long-term strategies that leverage AI deliberately to drive organic subscriber acquisition growth. Key Responsibilities AI Search and Content Optimizations Create optimization strategies that ensure our brand and content is discoverable and cited in AI-driven environments Collaborate with editorial and product teams to ensure all channels are optimized for AI search discoverability Build a test-and-learn framework to scale successful AI-driven initiatives across the organisation Test various content formats and back-end engineering strategies to improve visibility in AI-generated responses Monitoring and Evaluation Analyze search patterns across LLMs to identify trends and influence content and product roadmaps Translate emerging AI search trends into actionable growth opportunities Run AIO audits and provide actionable recommendations Monitor performance metrics and provide regular reporting on AI referral channels Conduct in-depth keyword and AI prompts research and competitive audits Cross-functional Collaboration Partner closely with editorial, product, engineering, and marketing teams to align AI optimization strategies with business goals Collaborate with data and analytics teams to define measurement frameworks and reporting for LLMs Leverage AI tools and automation to improve marketing performance across acquisition channels and onsite conversion journeys Identify opportunities to streamline and automate marketing and reporting workflows, reducing manual effort and increasing speed to execution Collaborate with email marketing team on content initiatives such as subject line testing and schedule optimizations Experience & Skills Strong experience in SEO, search marketing or other technical disciplines Experience in AIO / AEO / GEO, AI research and LLMs Up to date in current and emerging AI trends Experience with analytics tools and SEO softwares Strong analytical skills and data driven decision making Excellent communication skills and cross-team collaboration Deep understanding of on-page, off-page and technical SEO best practices The expected base salary for this position is $79,000 - $106,000 base plus a performance related bonus. It is not typical for offers to be made at or near the top of the range. Rather, salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. #LI-Hybrid Working Arrangements The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required. AI usage for your application We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications. What we offer Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more. US Demographic Questions At The Economist Group, we are committed to building an inclusive workplace for all. By sharing the following information, you help us to understand the impact of our efforts and continue to make progress. Providing this information is voluntary and will not affect how your application is considered.Any details you share are stored separately from your application, with safeguards in place to ensure confidentiality and data security. Hiring managers and recruiters do not have access to this information at an individual level. Where appropriate, we may use anonymised data for reporting purposes or to meet statutory requirements in your location. #J-18808-Ljbffr Economist Group