Manager, Analytics Engineering

Salary

Zone A: [$175,000 - $247,000], Zone B: [$164,000 - $232,000], Zone C: [$154,000 - $217,000], Canada (CAD): [$199,000 - $281,000]

Location

Remote-first (United States; BC & ON, Canada)

We’re looking for a Manager, 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.

As a Manager, Analytics Engineering you’ll...

Lead, mentor, and grow a team of Analytics Engineers focused on building a scalable, reliable, and well-documented data foundation.
Foster a culture of collaboration, curiosity, and continuous improvement within data teams and across cross-functional partners to deeply understand business needs.
Own the evolution of our data warehouse architecture, analytics engineering workflows, and business intelligence layer to deliver intuitive, scalable dashboards and self-serve tools that drive data-informed decision-making.
Partner with data analytics, data scientists, and data engineers to define trusted metrics, ensure data integrity, and improve the usability of core data models.
Drive metric development and governance, build scalable testing frameworks, enable clear lineage tracking, and implement documentation standards using tools like dbt, Snowflake, and Tableau.
Represent the Analytics Engineering team in strategic, cross-functional discussions—bringing a systems-thinking approach and a deep understanding of the data lifecycle to inform decisions and unlock insights.
In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

You’ll thrive as a Manager, Analytics Engineering if you:

Have demonstrated strategic leadership experience in Analytics Engineering (or the equivalent in similar quantitative roles) - You’ve managed and developed high-performing analytics engineering teams and know how to guide both technical strategy and career growth. You feel confident setting a vision for both the team and the future of our data stack/assets.
Have 4–6+ years of hands-on experience in analytics engineering or related data roles – You have deep experience building and maintaining scalable, reliable data models and infrastructure, ideally in a modern data stack environment.
Have strong experience managing/leading the following disciplines:
SQL/Python
Data modeling
ETL/ELT
Cloud Warehouses
Are tech-savvy and systems-oriented – You’re comfortable writing per working with tools like dbt, Snowflake, and Tableau, and you’ve helped shape scalable workflows that balance speed and governance.
Have a track record of building and scaling data foundations – You’ve led the implementation of high quality data models, data testing frameworks, dashboards, and documentation standards that enable trust and reusability.
Have strong communication and project management skills – You can distill technical topics for non-technical audiences and drive adoption of data best practices across teams. You work seamlessly with stakeholders across a variety of teams as well to deliver impactful solutions.

‌