The Economist Group

Head of Optimisation

New York, United States

Sponsorship not specified$105k-$140kDetected 13 days ago

AlgorithmsData VisualizationLLMsA/B TestingSEOGoogle AnalyticsLeadershipCollaborationAdaptability

About the role

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.
As consumption habits shift from traditional keyword searches to conversational AI and mobile-first platforms, this role will ensure our world-class journalism remains highly visible, authoritative, and easily discoverable.

Responsibilities

LLM Footprint Management: Monitor, measure, and optimize how major Large Language Models (LLMs) like ChatGPT, Claude, Gemini, and Perplexity cite, synthesize, and recommend The Economist.
Publisher Graph Authority: Manage relationships between our paywalled content and AI web-crawlers, balancing data protection with visibility in AI Overviews and answer engines.
Subscription Growth: Optimize the digital journey for premium paywalled content, maximizing organic traffic to subscriber acquisition landers.
Newsroom Integration: Partner with the editorial team to implement real-time SEO best practices for evergreen analysis and multimedia content without compromising editorial integrity.
App Acquisition: Own the organic download strategy for The Economist app on the Apple App Store and Google Play Store.
Manage a cross-functional team responsible for our conversion rate optimisation (CRO) and testing programme
Own and manage the testing and experimentation roadmap to drive continuous performance improvement
We recognise that candidates may utilise AI tools to support with their job
However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.

Requirements

Technical Proficiency: Deep understanding of web rendering, API access controls, paywall-friendly indexing, and schema markup.

Skills

Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised.
The Economist is seeking a visionary Head of

Compensation

The expected base salary for this position is $105,000 - $140,000 base plus a performance related bonus.
Rather, salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained.

Benefits

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.
In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home.
The expected base salary for this position is $105,000 - $140,000 base plus a performance related bonus.
Rather, salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained.
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.

Company info

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.
The Economist is seeking a visionary Head of Optimization to lead our organic growth strategy across three critical pillars: Search Engine Optimization (SEO), App Store Optimization (ASO), and AI Optimization (AIO).
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.
Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact.
You will lead a cross-functional squad of technical specialists, data analysts, and content strategists to drive high-intent subscriber acquisition, app downloads, and brand authority across all digital discovery engines.

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This listing is sourced directly from The Economist Group's careers page and normalized into a canonical job model.