Content Marketing Lead for Research & Insights (AI)
Контакты
140 000 - 188 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/US
media relationsaiseoanalyticscontent marketingstartupgeoeditorial strategyresearch communicationscrypto crime
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$140к-188к/год
$140к$170кмедиана$200к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3к/мес ($2.4к - $4.5к)
72
Хорошая вакансия
развернуть
Роль хорошо очерчена, предполагает высокую самостоятельность и работу в финансируемой компании в актуальной сфере ИИ, но зарплата ниже рыночного ориентира, а компания прямо предупреждает о высоком темпе и интенсивной нагрузке.
Кликните для подробной информации
Ниже ориентираВысокий темпПонятная зона ответственностиИИ и аналитикаСильное финансирование
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Content Marketing Lead for Research & Insights (AI): Building a research-driven content engine that turns intelligence findings into reports, articles, campaigns, and media stories with an accent on editorial strategy, AI-assisted production, distribution, and search visibility. Focus on shaping complex data narratives, building reusable AI workflows, and moving flagship research from concept to press-ready publication.
Location: Remote in the United States or London, United Kingdom; fully remote with overlap with US-based team collaboration hours. Minimal occasional team or event travel.
Salary: US base salary of $140,000–$188,000 annually; equity plan may also be available.
Company
hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crypto crime and financial crime.
What you will do
Set and own a proactive editorial agenda with the Insights team, deciding which findings become reports, blog posts, social content, or media pitches.
Turn research findings into approximately 1–3 published and distributed content pieces per week.
Shape and pressure-test narratives and data, then use AI to draft variants, headlines, and channel-specific content.
Plan and manage distribution across owned, paid, and earned channels, including social, newsletters, and executive voice.
Grow TRM’s search and AI-citation visibility using SEO and GEO tools to identify gaps and measure impact.
Partner with the Head of Communications on journalist outreach and use coverage insights to improve future releases.
Requirements
5+ years of B2B content marketing, editorial, or research-communications experience, including a portfolio of data- or research-based point-of-view work.
AI-native experience applying AI to research review, drafting, repurposing, optimization, and reusable workflow development.
Strong editorial judgment and the ability to improve complex technical narratives while maintaining accuracy, including when AI creates the first draft.
Experience owning content end to end from concept through publication and distribution, while proactively planning content.
Comfort with content distribution, AI, and analytics for measuring and improving performance.
Ability to translate technical, data-driven material into clear, engaging content and adapt tone and format for different audiences.
Availability for collaboration-hour overlap with the US-based team.
Culture & Benefits
Fully remote, distributed-first work across the US and Europe/UK, with async-first communication and regular syncs.
Close collaboration with Insights, Demand Generation, Communications, and researchers.
Small, senior, AI-native team with ownership, autonomy, fast execution, and continuous feedback.
Work on complex problems at the intersection of AI, national security, crypto crime, and financial-crime intelligence.
Minimal travel, limited to occasional team or event travel.
Equity plan may be available; compensation reflects US base salary and varies by geography.
Hiring process
Recruiter introduction, hiring manager interview, and 1–2 first-round interviews.
Final hands-on case study, usually in a panel format, plus references.
Most processes include an AI skills assessment and Leadership Principles interview; applied AI fluency is evaluated.
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