Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$250к-280к/год
$190к$210кмедиана$240к
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Роль чётко очерчена: есть влияние на решения руководства, управление командой и фокус на аналитике с использованием ИИ. При этом в небольшой стартап-команде важно быть готовым к практической работе.
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Текст:
Hirify AI/Оригинал
TL;DR
Head of GTM Analytics (AI-Powered BI & Revenue Insights): Owns and develops go-to-market analytics across Sales, Customer Success, Marketing, and Enablement with an accent on executive reporting, self-serve data access, and proactive revenue insights. Focus on building AI-powered analytics and automation, resolving upstream data-quality issues, and leading a small team while partnering with senior stakeholders and Data Engineering.
Location: Remote, United States
Salary: $250,000–$280,000 plus equity
Company
hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with ambitious technology companies.
What you will do
Own and prioritize the analytics roadmap across Sales, Customer Success, Marketing, and Enablement.
Build reliable reporting and self-serve data access for executives, functional leaders, managers, and individual contributors.
Deliver ad hoc analysis with clear recommendations and develop proactive insights that surface trends and opportunities.
Identify upstream process and data-quality issues and partner with Operations and Data Engineering to resolve them.
Use AI-powered analytics and automation to reduce routine analyst work and expand self-service.
Lead and develop a small analytics team while setting standards for quality, prioritization, and stakeholder engagement.
Requirements
Significant experience in analytics, business intelligence, or data strategy with increasing ownership and leadership responsibility.
Experience supporting or owning analytics for revenue-facing teams, including Sales, Marketing, and Customer Success.
Strong SQL, BI and visualization, and data-modeling capabilities.
Experience partnering with Data Engineering on data architecture, tooling, and data quality.
Executive presence with the ability to engage VP and C-level stakeholders and communicate complex analysis as a clear business narrative.
Commercial mindset connecting data to revenue outcomes and understanding GTM operating models.
Hands-on, high-ownership approach suited to a lean environment.
Experience owning meaningful GTM or revenue analytics scope and understanding Sales, Marketing, and Customer Success metrics and operating rhythms.
Willingness to lead a small team and drive work cross-functionally while delivering technically credible analysis.
Nice to have
Experience with Snowflake, Salesforce, modern cloud data infrastructure, and AI-powered analytics or self-serve data tooling.
Culture & Benefits
Permanent position with substantial autonomy to reshape analytics and its business impact.
AI-forward environment where automation and internally developed tooling are central to the operating model.
Opportunity to build a strategically important function with visible executive impact and potential for broader scope.
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