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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden чётко описана важная роль с возможностью выстроить направление, но самостоятельный практический формат и отсутствие информации о зарплате оставляют вопросы к уровню ответственности и компенсации.
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Самостоятельная рольЗарплата не указанаЧёткая зона задачAI в образованииБюджет на обучение
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Head of Pricing & Monetization (AI): Defining and evolving pricing, packaging, and monetization strategies for subscription-based language learning products with an accent on customer insight, commercial analysis, and sustainable growth. Focus on designing pricing models, running experiments, and improving revenue, conversion, retention, and acquisition costs across products, markets, and customer segments.
Location: Remote, based in Germany; Berlin office
Company
hirify.global Labs is an AI-first company within hirify.global building digital language learning products by combining AI, research, product development, and language expertise.
What you will do
Own pricing and monetization strategy across products, markets, and customer segments.
Design pricing and packaging for subscriptions, family plans, add-ons, trials, and new product models.
Lead pricing decisions from customer and market analysis through modelling, stakeholder alignment, launch, and post-launch measurement.
Establish principles for discounts, promotions, and offers across Marketing and CRM.
Improve pricing pages, checkout, and subscription flows.
Measure and optimize revenue, conversion, retention, and customer acquisition costs through experimentation and analysis.
Requirements
Senior-level experience owning pricing or monetization in a fast-growing technology, subscription, digital product, or consumer business.
Track record of leading significant pricing or packaging changes end to end.
Experience building or scaling pricing capabilities, frameworks, or ways of working.
Strong commercial and strategic judgment, including understanding of revenue, conversion, retention, acquisition, and customer value trade-offs.
Quantitative and technical fluency in elasticity analysis, willingness-to-pay research, segmentation, forecasting, experimentation, data modelling, and coding where appropriate.
Professional fluency in written and spoken English is required.
Culture & Benefits
Mission-driven language learning product with global impact.
Opportunity to shape responsible AI use in education.
Collaboration with product, engineering, language, growth, marketing, finance, and data specialists.
Flexible working models and a supportive, inclusive environment.
Learning budget and free language learning.
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