Назад
Company hidden
4 дня назад

Director of Analytics, GTM Operations (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Director of Analytics, GTM Operations (AI) (Sales Analytics, Forecasting, and SaaS): Building predictive models, KPI frameworks, dashboards, and AI-enabled analytics for sales efficiency, pipeline growth, and forecasting accuracy with an accent on GTM funnel analytics, revenue forecasting, and intelligent workflow automation. Focus on developing AI-driven scoring, improving forecast precision, and translating complex data into actionable executive insights.

Location: Remote, United States

Company

hirify.global provides a cloud compliance platform for tax and technology, processing customer API calls and tax returns at global scale.

What you will do

  • Lead the global analytics function for GTM Operations in partnership with the CRO, Finance, Sales, Marketing, and Customer Success.
  • Develop forecasting models for bookings, renewals, churn, and expansion across segments and geographies.
  • Lead end-to-end funnel analytics, identifying conversion drivers, pipeline risks, sales-cycle patterns, and win/loss factors.
  • Build scalable frameworks for pipeline health, velocity, quality, KPI measurement, and AI-driven deal scoring.
  • Create executive dashboards and AI-augmented self-service analytics environments for sales performance and productivity.
  • Translate insights into GTM plays, prioritization models, resource recommendations, and workflow automation.

Requirements

  • 10–15+ years of experience in Sales Analytics, Data Science, or Business Intelligence within a high-growth SaaS environment.
  • Experience applying AI and machine learning to forecasting, customer analytics, or GTM optimization.
  • Strong proficiency with SQL, Python or R, and BI tools such as Tableau, Looker, or Power BI.
  • Experience with machine learning frameworks, forecasting libraries, predictive modeling tools, and generative AI applications.
  • Familiarity with modern data-stack architectures, including data warehouses, ETL pipelines, and feature stores.
  • Experience building analytics teams, embedding AI into business processes, and presenting complex insights to executive audiences.

Culture & Benefits

  • AI is embedded in workflows, decision-making, and products, with daily opportunities to apply AI to business challenges.
  • Compensation package with paid time off, paid parental leave, and potential bonuses.
  • Location-dependent medical, life, and disability insurance.
  • Inclusive culture supported by employee resource groups with senior leadership and executive sponsorship.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →