VP, Revenue Growth

How you’ll make an impact

• Monitor and optimize revenue performance across funnels through strategic adjustments
• Partner with executive and revenue functions to set KPIs aligned with business objectives
• Identify and prioritize new growth opportunities and innovations
• Help drive cross-functional alignment on product strategy and go-to-market approach
• Evaluate complex business questions and trends as they arise
• Proactively identify risks and opportunities through advanced analytics and AI
• Monitor competitive landscape and conduct performance comparisons
• Distill complex data into actionable insights for stakeholders
• Provide insights on business variances and performance drivers
• Drive data-informed initiatives that improve business performance
• Leverage AI to generate merchant insights including performance analytics and growth recommendations
• Provide prospecting analytics and target identification support to sales teams
• Create clear merchant analytics highlighting where success is occurring and where improvement is needed
• Use AI to create standardized reporting and identify patterns in complex data
• Troubleshoot funnel issues and optimize performance
• Design and execute tests to validate strategy recommendations and measure impact
• Build and develop a high-performing team
• Provide strong leadership and mentorship
• Support career development and day-to-day growth
• Foster a culture of connection, value, and shared mission

What you’ll need to succeed

• At least 10 years in analytical, business intelligence, or Revenue Operations roles
• Bachelor's degree required; Master's degree preferred
• Strong proficiency with analytics and BI tools (Tableau, RStudio, etc.)
• Exposure to SQL and Python
• Understanding of AI/ML concepts, frameworks, and terminology
• Knowledge of machine learning algorithms, deep learning, and generative AI models
• Familiarity with AI implementation approaches (MLOps, model deployment)
• Understanding of data governance and quality requirements for AI development
• Ability to evaluate AI/ML vendors and solutions for business application

What would make you stand out

• Strong analytical and problem-solving skills with ability to synthesize data into actionable insights
• Excellent communication skills across all organizational levels
• Strategic thinking balanced with operational execution
• Cross-functional collaboration and stakeholder management abilities
• AI/ML business acumen—understanding when and how to apply AI to business problems
• Change management skills to drive organizational adoption of new technologies
• Ability to communicate complex AI concepts clearly to non-technical audiences
• Technical collaboration with data scientists and ML engineers

Why Join Us

• Generous paid time off
• Competitive medical, dental & vision coverage
• 401K with company match for US
• Company-paid life insurance
• Company-paid short-term and long-term disability
• Access to mental health and wellness resources
• Company-paid volunteer time to do good in your community
• Legal coverage and other supplemental options
• A value-based culture where growth opportunities are endless