Skill Compatibility Diagnostics
Live technical match evaluated against role architecture & expected skills.
Consider reviewing the missing technical prerequisites before submitting your application.
Your skills are processed strictly in-memory and never saved to a database.
About the Role
Squarespace is hiring a Senior Manager, Data Science and Machine Learning to lead the team behind our predictive models, causal inference frameworks, and AI evaluation systems. These are the tools that inform how we acquire customers, keep them, and serve them at scale. Reporting to the VP of Data, you'll lead a team of 12 data scientists and ML engineers doing work that is directly tied to how Squarespace leverages AI and data-driven capabilities. You will work closely with product, engineering, and analytics partners across the organization to introduce new ways to leverage data in our products and decision systems, for customers and internal use. This is an opportunity to step into a critical senior leadership seat and set the direction for how machine learning and data science are practiced at Squarespace.
This is a hybrid role working from our NYC office 3 days per week. You will report to the VP, Data.
About Squarespace
Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products — from Squarespace and Squarespace Payments, to subsidiaries like Tock, Bio Sites, and Unfold, as well as Acuity Scheduling — works together to help customers stand out and succeed online.
Key Technical Responsibilities
- check_circle Lead and develop a team of 12, including three direct reports who manage their own teams
- check_circle Set the technical and strategic direction for predictive modeling, causal inference, and AI evaluation across Squarespace's product and business priorities
- check_circle Apply data science to Squarespace’s biggest growth levers: marketing measurement, sales growth, product optimization, customer support allocation, and risk and credit modeling
- check_circle Partner with product, engineering, and business leaders to translate complex statistical and ML work into decisions and systems that drive customer acquisition, retention, engagement, and growth across our global products
- check_circle Build the systems, processes, and team culture that raise the quality and speed of data science delivery across the organization
- check_circle Evolve the team's ML infrastructure and tooling as AI capabilities at Squarespace grow
Prerequisites & Qualifications
- check 12+ years in data science or machine learning, including experience leading technical teams through complex, high-stakes projects
- check 5+ years managing managers, with demonstrated ability to develop senior individual contributors and team leads simultaneously
- check Hands-on experience building or overseeing production predictive models, causal inference frameworks, or AI evaluation systems
- check Skill at aligning product, engineering, and business partners around a shared roadmap and navigating trade-offs clearly, especially in explaining statistical or technical trade-offs to executives without losing the nuance
- check Experience scaling a data science or ML function, including team structure, hiring, and technical standards
About Squarespace Greenhouse Board
Verified hiring organization details.
Squarespace Greenhouse Board refers to the centralized recruitment and talent acquisition infrastructure utilized by Squarespace, a New York City-based technology company specializing in website building and hosting platforms. The board serves as the primary interface for managing the company's global hiring pipeline, candidate tracking, and talent operations, facilitating the recruitment of engineering, product, and design talent to support the company's integrated suite of web publishing tools and e-commerce solutions.