Head of Growth and Data Science

The Opportunity

This is a high-impact, highly visible leadership role at the center of MaintainX's next phase of growth. We're looking for a strategic, technical, and data-obsessed leader to own both our growth engine and our data science function. You'll lead end-to-end growth initiatives—from acquisition and onboarding to activation, expansion, and monetization—while shaping our company-wide data strategy, building a high-performing team, and delivering insights that drive decisions across product, marketing, sales, and customer success.

Reporting to the VP of Engineering, you'll operate as a true division leader—building systems, teams, and strategies that compound over time, and helping shape the future leadership bench of the company.

What You'll Do

Growth Engineering

• Lead and scale the Growth engineering organization, spanning multiple teams across GTM enablement, onboarding, experimentation, activation, and monetization.
• Drive a product-led growth engine, including freemium-to-paid conversion, packaging, and expansion workflows.
• Build platforms and tooling that support onboarding and managing customers with thousands of assets across multiple sites.
• Develop products for equipment manufacturers and service providers, enabling their customers to better maintain and operate their assets.
• Build customer-facing experiences and internal tools and agents that enhance the effectiveness of our Marketing and Sales motions.

Analytics & Data Science

• Design, implement, and optimize scalable data models, dashboards, and reporting frameworks to track key business and performance metrics.
• Partner closely with product, engineering, marketing, sales, and customer success teams to deliver data-driven insights that inform strategy and decision-making.
• Lead advanced data science initiatives, including predictive modeling, segmentation, and experimentation (e.g., A/B testing) to drive business impact.
• Establish and refine data governance, data integrity, and best practices to ensure high-quality analytics.
• Stay current with industry trends and emerging technologies in analytics, data science, and AI.

Leadership & Cross-Functional Impact

• Hire, mentor, and develop engineering leaders, data scientists, and analysts while setting a high bar for delivery, quality, and impact.
• Build and scale a high-performing organization spanning multiple teams and disciplines.
• Operate as a true division leader—building systems, teams, and strategies that compound over time.
• Communicate complex data findings and technical strategies clearly to both technical and non-technical stakeholders.
• Act as a thought leader in data science and analytics, educating stakeholders and promoting a data-driven culture across the organization.

About You

• 8+ years of experience