[Hiring] Chief Revenue & Analytics Officer @Hostinger

Role Description

Join the team building an AI-first company. If you want your work to influence both what we build and how we build it, we'd like to meet you.

What you are responsible for:

• Unit economics and the numbers underneath: LTV, CAC, cohort payback, margin by plan and segment.
• Price: New and renewal price points, subscription, credits, freemium, trials, discounts, localization.
• The offering: Segments, packaging, plan differentiation, bundles, positioning, and customer journey conversion.
• How we buy customers: Marketing spends today against the return on a first purchase.
• The numbers everyone argues from: The analytics organization reports to you.
• The entire customer experience after they buy: Onboarding, activation, renewal, dunning, cross-sell, upgrade, churn management.

How ownership works here:

• The customer base is your scope.
• A growth team builds inside that base, reporting to our VP of Product.
• Finance owns planning; Marketing runs spend against your targets.
• Commercial operations is led by our Head of Revenue.

What you walk into:

• The analytics team is a central, capable unit.
• A shift in the operating model is required: tighter feedback loops and analysts embedded within business challenges.
• Attribution needs rebuilding for the eight products we now run.

What you get:

• A greenfield C-level mandate.
• A pricing test you propose can be live the same day.
• Standing board exposure from your first quarter.
• No short-term pressure on results.

Year one, on the record:

• Org design decided and executed.
• Head of Data and Offering DRI hired and successfully onboarded.
• The analytics operating model rebuilt.
• Lifetime value and acquisition cost by segment established.
• A pricing engine live across new and renewal.
• A first real answer on AI pricing tested in market.
• One weekly revenue view the company trusts.
• Net revenue retention owned at client level.

Qualifications

• Led a central analytics organization at scale and changed how it works.
• Owned monetization with P&L accountability in a subscription business.
• Operated at millions-of-customers scale.
• Experience with cohorts, renewal curves, and involuntary churn.

Requirements

• Run a lifecycle and retention operation.
• Experience in consumer subscription, SaaS, telco, or streaming.
• Scar tissue from a pricing decision that went wrong.

Benefits

• Compensation based on experience, skills, and impact.
• Support for relocation, including visas and housing assistance.
• Opportunity for personal and professional growth.

Company Description

Started in Kaunas in 2004 selling web hosting. Today: 900 people in 40 countries, 5M+ customers. We are becoming an AI-first company.