Squarespace
Senior Manager, Data Science and Machine Learning
New York City · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- 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.
- Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary.
Responsibilities
- 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.
- By fundamentally changing the way individuals and businesses around the world build an online presence, we empower our customers with a competitive advantage in reaching their audience.
Requirements
- Experience scaling a data science or ML function, including team structure, hiring, and technical standards
Nice to have
- Familiarity with prompt and model lifecycle management in production
- Experience designing human-in-the-loop review for AI-driven features
- Background in marketing science, experimentation, or credit/risk modeling
- Headspace mindfulness app subscription
- Global Employee Assistance Program
- Employee donation match to community organizations
- 7 Global Employee Resource Groups (ERGs)
- Dog-friendly workplace
Compensation
- The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors.
- In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock.
- Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary.
- $223,000 - $358,800 USD
- Hack week twice per year
- Cash Compensation Range: $223,000 - $358,800 USD
Benefits
- A choice between medical plans with an option for 100% covered premiums including medical, dental, and vision
- Supplemental Life and Disability Insurance plans
- Fertility and adoption benefits
- Retirement benefits with employer match
- Flexible paid time off
- 12 weeks paid parental leave and family care leave
- Pretax commuter benefit
- Education reimbursement
Company info
- These are the tools that inform how we acquire customers, keep them, and serve them at scale.
- Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees.
- We are proud to be an equal opportunity workplace. #LI-Hybrid Thank you in advance for providing the following details about your work history from your resume!
- 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.
Equal opportunity
- We are proud to be an equal opportunity workplace.
Visa & Work Authorization
- r, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by app
This listing is sourced directly from Squarespace's careers page and normalized into a canonical job model.