Chief Revenue & Analytics Officer

📋 Description

• Unit economics and the numbers underneath. LTV, CAC, cohort payback, margin by plan and segment.
• Price points across all products, including subscriptions, credits, freemium, trials, discounts
• The offering: segments, packaging, plan differentiation, bundles, and customer journey from website
• How we buy customers: marketing spend vs lifetime value, methodology and targets.
• Analytics operating model: embedded in the business, insights-driven beyond a request queue.
• Net revenue retention owned at client level; manage renewals and churn signals.

🎯 Requirements

• Led a central analytics organization at scale; managed managers.
• Owned monetization with P&L accountability in a subscription business.
• Experience with millions of customers; cohorts, renewal curves, involuntary churn.
• Lifecycle and retention focus: renewals, dunning, failed payments, win-back.
• Ability to shape pricing, packaging, and product offering with cross-functional influence.
• Proven ability to argue from first principles with CEO/board and drive decisions.

🎁 Benefits

• Greenfield C-level mandate; design the structure and hire into it.
• Pricing experiments can go live quickly; early deliverables in weeks.
• Board exposure and weekly revenue view with trusted metrics.
• Profitable, independent role with focus on quality decisions over quarterly pressure.
• Relocation assistance and visa support; help with moving and settling in Lithuania/Europe.