Responsibilities

• Define success metrics, learning agendas, and optimization frameworks that connect CRM investments to retention, engagement, revenue growth, and customer lifetime value.
• Advance targeting and personalization at scale by developing and improving machine learning models such as propensity, churn, uplift, recommendation, and next-best-action models.
• Lead rigorous experimentation across CRM programs using A/B testing, multivariate testing, and causal measurement approaches to generate actionable insights and accelerate learning.
• Build scalable analytics and AI solutions through automated data pipelines, reusable datasets, and self-service tools that support faster, more confident decision-making.
• Optimize CRM strategies across email, push, in-app, onsite, and lifecycle channels by recommending data-driven approaches to targeting, content, frequency, and customer journey design.
• Translate complex analytical findings into clear business recommendations, influence cross-functional partners and senior leaders, and strengthen team capabilities through mentorship and best practices.

Requirements

• Proven experience leading CRM, marketing, or customer analytics initiatives that deliver measurable business outcomes in e-commerce, marketplace, subscription, consumer technology, or similar customer-focused environments.
• Deep expertise in analytics, machine learning, and AI applications for CRM and personalization, including churn prediction, propensity modeling, CLV/LTV forecasting, uplift modeling, recommendations, and decisioning systems.
• Strong foundation in experimentation and statistical methods, including experimental design, power analysis, variance reduction, causal inference, and measurement best practices.
• Advanced proficiency in SQL and Python for large-scale analysis, modeling, automation, and analytics engineering within modern data environments and version-controlled workflows.
• Strong business judgment and communication skills, with the ability to translate complex insights into clear recommendations and influence cross-functional partners and senior leaders.
• Experience working with AI-powered products, CRM or marketing technology platforms, customer journey tools, event-level behavioral data, and modern data and AI ecosystems such as Spark, Databricks, Airflow, and Claude Code.

Benefits

• the total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave).
• Details of participation in these benefit plans will be provided if an employee receives an offer of employment.