Head of Cross-Sell

We are looking for a hands-on, analytical, and commercially driven leader to build and scale our Cross-Sell & Engagement engine - turning customer intelligence into sustainable revenue growth. This is a high-impact leadership role with full ownership of strategy, execution, and P&L performance of the cross-sell channel.

This role goes beyond traditional product management and sits at the intersection of revenue leadership and product execution. You will operate across product strategy, risk and credit modeling, growth optimization, and financial performance, working closely with cross-functional stakeholders to drive revenue, profitability, and long-term customer lifetime value through data-driven decisions.

What you will own

• Full P&L responsibility for the Cross-Sell revenue stream

• Cross-sell strategy across products and customer lifecycle

• Revenue growth, profitability, and unit economics optimization

• Prioritization of opportunities across pricing, scoring, targeting, and UX

• Execution excellence across a cross-functional team (Product, Growth, Risk, ML, Analytics)

What you will do

Strategy & Revenue Ownership

• Define and execute the cross-sell strategy across all products

• Identify and unlock new revenue pools within the existing customer base

• Develop optimal pricing and monetization strategies

• Drive improvements in conversion, retention, and ARPU

• Own forecasting, financial modeling, and performance reporting

Data & Risk Optimization

• Challenge and evolve scoring and segmentation approaches

• Partner with ML and Risk teams to optimize approval rates vs. profitability

• Run structured experimentation (A/B testing) to improve performance

• Improve targeting and personalization logic

Execution & Leadership

• Lead a cross-functional squad of product, analytics, risk, and growth experts

• Align top management and key stakeholders on priorities and expectations

• Build scalable processes and internal operating cadence

• Develop and mentor team members

What we expect from candidate:

Skills

• Strong analytical foundation

• Advanced SQL and/or Python proficiency

• Deep understanding of statistics, experimentation, and A/B testing

• Experience with unit economics and financial modeling

• Solid understanding of classical ML models (logistic regression, tree-based models, etc.)

• Ability to connect data insights with commercial impact

Experience

• 3+ years in Product, Financial Analytics, Growth, or similar analytical leadership roles

• 1+ year leading teams or cross-functional initiatives

Nice to have

• Experience owning P&L and forecasting is highly preferred

• Experience working with recommendation systems, pricing models, credit/risk products, or monetization engines

• Bachelor’s or Master’s degree in STEM (Mathematics, Engineering, Physics, etc.) or Economics