About this role

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, and 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 and lots of opportunity to extend the function 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. About the role: Location: Remote-first (United States) Full-time Permanent Exempt The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.

United States (all figures cited below are in USD and pertain to workers in the United States) Zone A: USD 284,000 - USD 355,000 Zone B: USD 267,000 - USD 334,000 Zone C: USD 249,500 - USD 312,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the VP, Data & Insights As a Director, Analytics Engineering you’ll … Develop and own a long-term strategic vision for Webflow's enterprise data architecture - aligning data models, integration patterns, governance & AI-native systems design with business priorities and platform growth.

Lead, mentor, and grow a team of Analytics Engineers focused on building a scalable, reliable, and well-documented data foundation while fostering a culture of collaboration and continuous improvement. Design and operationalize a unified semantic layer with canonical datasets, enforced modeling standards, lineage graphs, query corpus, and business context that powers self-serve analytics at scale, conversational data access, and advanced analytics with maintained governance and trustworthiness.

Define and enforce comprehensive standards for data modeling, metadata management, data governance, data quality, lineage, and access control. Build and maintain a skills repository for analytics agents, including validation frameworks to ensure data-informed decisions remain accurate and reliable over time. Represent Analytics Engineering in strategic, cross-functional discussions, bringing systems thinking, deep data lifecycle expertise, and a focus on AI-native architecture to unlock insights and drive data-informed decision-making.

Partner with other analytics teams to understand business needs, define trusted metrics, and continuously improve data systems and usability. About you: Requirements: 10+ years of hands-on experience in data and analytics engineering, with 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).

Have a track record of implementing high-quality data models, testing frameworks, dashboards, and documentation standards that enable trust and reusability. You’ll thrive as a Director, Analytics Engineering if you: Possess demonstrated strategic leadership experience managing and developing high-performing analytics engineering teams. Are confident in setting vision for both team growth and technical strategy, and you know how to guide others through complex decisions in data architecture and governance.

Communicate clearly and distill technical topics for non-technical audiences. Drive adoption of data best practices across teams and work seamlessly with cross-functional stakeholders to deliver impactful solutions in fast-paced and sometimes ambiguous environments. Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

Our Core Behaviors: Build lasting customer trust. We build trust by taking action that puts customer trust first. Win together. We play to win, and we win as one tea

Source listing: greenhouse_webflow