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2 дня назад

Director, Data Science – GTM (AI)

262 000 - 376 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Director of Data Science (GTM): Leading high-impact analytics and AI initiatives across hirify.global’s Go-To-Market organization with an accent on data-informed decision making and growth. Focus on scaling experimentation, deploying AI-driven solutions like lead prioritization, and optimizing the customer lifecycle.

Location: Based exclusively in Menlo Park, CA. Alternative locations are not available.

Compensation Range: $262K - $376K

Company

A leading data cloud platform powering the era of the agentic enterprise through AI-native innovation.

What you will do

  • Define and execute the GTM data science strategy for pipeline generation and sales productivity.
  • Deliver insights and ML models for marketing attribution, forecasting, and lead scoring.
  • Act as a trusted advisor to senior stakeholders across Sales, Marketing, and RevOps.
  • Recruit, develop, and lead a high-performing team of data scientists.
  • Design and scale experimentation and causal inference frameworks across the GTM funnel.
  • Identify and deploy AI solutions for customer segmentation and churn prediction.

Requirements

  • 10+ years of experience in data science or analytics, with 5+ years in leadership roles.
  • Proven experience supporting GTM functions in a B2B SaaS or high-growth technology company.
  • Strong technical foundation in SQL and Python.
  • Track record of delivering measurable business impact through advanced analytics or ML.
  • Experience building and scaling teams in fast-paced environments.
  • Must be based in Menlo Park, CA.

Nice to have

  • Experience leading ML projects in GTM domains (propensity modeling, next best action).
  • Hands-on experience deploying models for lead prioritization and pipeline efficiency.
  • Knowledge of data enrichment strategies and integrating third-party data sources.
  • Experience applying AI/ML to enterprise GTM use cases.

Culture & Benefits

  • AI-native culture that treats AI as a high-trust collaborator.
  • Experimental mindset focused on rapidly testing emerging capabilities.
  • Low-ego, dynamic, and fast-moving work environment.
  • Standard corporate benefits available via the company careers site.

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