Director, Data Science – GTM (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Director of Data Science (GTM): Leading high-impact analytics and AI initiatives across ’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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