VP, Data (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
VP, Data (AI): Leading the end-to-end data science, ML, and product analytics strategy to transform customer understanding and drive growth with an accent on predictive modeling, experimentation, and AI integration. Focus on building scalable ML pipelines, optimizing retention and churn models, and establishing statistical rigor across cross-functional teams.
Location: Remote (United States)
Salary: $270,000 - $397,500
Company
An AI-powered, all-in-one white-label sales and marketing platform supporting over 1 million businesses globally.
What you will do
- Own end-to-end data science and product analytics strategy focusing on modeling, experimentation, and insight generation.
- Build and lead a global team spanning data science, applied ML, decision science, and product analytics.
- Oversee product analytics and scale A/B testing frameworks across 50+ product and marketing teams.
- Design and productionize predictive and prescriptive models to optimize retention, churn, and lead scoring.
- Integrate generative AI and ML into the platform to enhance personalization and user productivity.
- Partner with GTM, Finance, and Operations to quantify model impact on revenue and customer lifetime value.
Requirements
- 12+ years in data science, analytics, or ML, including 5+ years in senior leadership within SaaS or B2B2C companies.
- Expertise in Python, SQL, R, and machine learning frameworks (TensorFlow, PyTorch).
- Proven experience leading product analytics, defining instrumentation, and event taxonomies.
- Deep understanding of A/B testing, causal inference, and experimental design at scale.
- Experience operationalizing models with shared feature stores and automated retraining pipelines.
- Must be based in the United States.
Nice to have
- Experience supporting IPO readiness or large-scale data governance.
Culture & Benefits
- Global, remote-first work environment.
- Culture rooted in creativity, collaboration, and impact.
- Access to a modern data stack including Snowflake, dbt, Atlan, and Hex.
- Inclusive environment as an Equal Opportunity Employer.
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