Senior Manager, Data Science and Machine Learning
Squarespace · New York City · New York
- Level
- Lead
- Type
- full-time
- Mode
- On-site / hybrid
- Posted
- 2026-10-13
- Team
- Operations
Role description
Senior Manager, Data Science and Machine Learning New York, NY 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.…
Technologies named in the posting
How Rolefit scores this role
- Stack overlap (50%). Every technology named in the posting is compared with your selected stack, weighted by how rare it is across the whole index — a niche match counts for more than Docker.
- Seniority fit (16%). The level in the posting is compared with the level assessed from your years and depth.
- Title alignment (16%). Whether the role is actually pitched at your field rather than adjacent to it.
- Freshness and filters (18%). Newer postings, your work type and your target region all move the score.
The score you see on a shortlist is specific to you — the same posting scores differently for a different stack. Run the assessment once and this role either makes your top 30 or it does not.
Build my shortlistSimilar roles
- Software Engineering Manager - Payments
Squarespace · New York City · New York
PaymentsTeam leadership3mo agoApply ↗ - Staff Software Engineer, Revenue Systems
Squarespace · New York City · Remote
PaymentsSystem designremote2mo agoApply ↗ - 26d agoApply ↗
- Senior Lead, AI Pricing & Margin Strategy
Squarespace · New York City · New York
1mo agoApply ↗ - 2mo agoApply ↗
- VP of Engineering, Product Platform
Squarespace · New York City · New York
2mo agoApply ↗
Your turn
See the 30 roles that actually fit your stack.
Three steps, no account, no CV upload. Every match opens with its score breakdown and a cover letter written for it.