Director, Analytics Engineering

Role Description

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.

We’re looking for a Director, Analytics Engineering to help in shaping the data infrastructure, modeling, and analytics capabilities of Webflow. You will be responsible for:

• Designing scalable data solutions
• Mentoring/hiring team members
• Ensuring high-quality data availability for analytics and decision-making

This role bridges the gap between data engineering and insights, enabling data-driven strategies across the company.

You will be joining a results-oriented, collaborative team with:

• An established, shared understanding of our business logic
• A modern data stack
• Opportunities to build new data analytics frameworks and establish best practices

You’ll work closely with both technical and non-technical stakeholders to transform our data in ways that improve the flexibility and repeatability of analysis. You'll also partner on metric definitions and governance, and help teams understand and improve our user experience through data. You’ll bring your expertise to improve our current processes and promote a shared language across our growing data functions at Webflow, thoughtfully developing Webflow’s data maturity for lasting impact.

We are looking for an empathetic, humble, curious, and collaborative team member who is excited to strengthen our foundational data capabilities and provide creative solutions that maximize data utility at Webflow.

Qualifications

• 10+ years of hands-on experience in data and analytics engineering
• Deep expertise building and maintaining scalable, reliable data models and infrastructure in modern data stack environments
• Proficiency with SQL, Python, data modeling, ETL/ELT, and cloud warehouses (particularly dbt, Snowflake, and Tableau)
• Track record of implementing high-quality data models, testing frameworks, dashboards, and documentation standards that enable trust and reusability

Requirements

• Demonstrated strategic leadership experience managing and developing high-performing analytics engineering teams
• Confidence in setting vision for both team growth and technical strategy
• Ability to guide others through complex decisions in data architecture and governance
• Clear communication skills to distill technical topics for non-technical audiences
• Drive adoption of data best practices across teams
• Curiosity and openness to growth, demonstrating a proactive embrace of AI

Benefits

• Ownership in what you help build (equity - RSUs)
• Comprehensive medical, dental, and vision plans for full-time employees and their dependents
• 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents
• Flexible vacation, paid holidays, and a sabbatical program
• Access to mental health resources, therapy, and coaching
• A 401(k) with 100% employer match (up to $6,000/year) in the U.S.
• Localized support for work and wellness expenses
• Annual WIN bonus program for full-time, permanent, non-commission employees