Chief Revenue Officer
Job description
This Chief Revenue Officer opportunity in London and additional offices in India, Mexico is built around funnel Optimization: Oversee the entire customer journey/revenue funnel, identifying bottlenecks and implementing process improvements and technology (MarTech/SalesTech) to maximiz. It would suit someone who can bring strong professional approach to the role.
Who the work supports
Flexible Work from Long Distance - 4 weeks a year. 32 days of holidays (including bank holidays).
How support shows up
Funnel Optimization: Oversee the entire customer journey/revenue funnel, identifying bottlenecks and implementing process improvements and technology (MarTech/SalesTech) to maximiz. Strategic Account Penetration: Direct the strategy for targeting and expanding within large, complex enterprise accounts, ensuring the sales motion is effectively tailored to C-lev. Revenue Strategy & Execution: Define, communication, and execute the holistic revenue strategy (Sales, Marketing, Customer Success, and Pricing) to achieve ambitious growth targets.
The approach that fits
Strong professional approach.
What needs to be in place
- 8-12 years of managing marketing, sales and revenue functions at a senior level.
- Familiarity with sales enablement and working closely with all revenue teams.
- Experience building relationships across organisations and creating a collaborative environment with multiple stakeholders.
Job details
- Lead, mentor, and scale the Revenue organization (Sales, Marketing, SDR, Customer Success), fostering a high-performance, data-driven, and collaborative culture aligned with the co.
- Financial Planning & Budgeting: Manage the revenue budget, forecasting, and resource allocation to ensure optimal ROI on all sales and marketing spend, providing clear, data-backed.
- Flexible Work from Home - 2 days remote a week, 3 days in office.
- Pricing and Packaging: Collaborate on the development and refinement of pricing models, packaging, and licensing strategies to maximize revenue capture, considering the complexity.
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