VP, Revenue Growth

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.

About the role

As VP Revenue Growth, you will partner with senior leaders to monitor, analyze, and optimize revenue through strategic and tactical business adjustments. This role sits at the intersection of analytical expertise and strategic business management. You will champion growth for our Merchant business by leveraging AI and machine learning technologies to drive innovation, enhance decision-making, and unlock new opportunities across all revenue channels. This is a senior-level role on a cohesive team where great execution is strongly supported. You'll have regular opportunities to engage with our Executive Team to shape the company's future growth.

You will lead a team responsible for managing business information, assessing opportunities, driving go-to-market alignment, and executing strategic initiatives. You'll champion the deployment of AI and machine learning solutions to transform how we analyze business performance, predict trends, and execute strategies. You will be instrumental in strategy definition, prioritization, and planning.

Responsibilities

• Strategy & Planning
  • 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
• Analytics & Insights
  • 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
• Merchant & Sales Analytics
  • 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
• Advanced Analytics & Testing
  • 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
• Team Leadership
  • 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

Requirements

• 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

Qualifications

• 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

Benefits

• Generous paid time off
• Competitive medical, dental & vision coverage
• 401K with company match for US employees
• 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.