Senior Manager, Data Science and Machine Learning
Squarespace · New York City
About this role
**Squarespace is hiring: Senior Manager, Data Science and Machine Learning** **Location:** New York, NY (Hybrid — in-office 3 days/week) Squarespace is looking for a **Senior Manager, Data Science and Machine Learning** to lead the team behind **predictive models, causal inference frameworks, and AI evaluation systems**—the tools that inform how Squarespace **acquires, retains, and serves customers at scale**. Reporting to the **VP of Data**, you’ll lead a team of **12 data scientists and ML engineers** working directly on how Squarespace leverages AI and data-driven capabilities. You’ll partner closely with **product, engineering, and analytics** to introduce new ways to leverage data in products and decision systems for both **customers and internal use**. --- ## You’ll Get To - Lead and develop a team of **12**, including **three direct reports** who manage their own teams - Set the technical and strategic direction for **predictive modeling, causal inference, and AI evaluation** across Squarespace’s product and business priorities - Apply data science to Squarespace’s biggest growth levers: **marketing measurement, sales growth, product optimization, customer support allocation, and risk/credit modeling** - Partner with product, engineering, and business leaders to translate complex statistical/ML work into decisions and systems that drive **acquisition, retention, engagement, and growth** across global products - Build the systems, processes, and team culture that improve the **quality and speed** of data science delivery - Evolve the team’s **ML infrastructure and tooling** as AI capabilities grow --- ## Who We’re Looking For - **12+ years** in data science or machine learning, including experience leading technical teams through complex, high-stakes projects - **5+ years managing managers**, with demonstrated ability to develop senior individual contributors and team leads simultaneously - Hands-on experience building or overseeing **production predictive models, causal inference frameworks, or AI evaluation systems** - Ability to align product, engineering, and business partners around a shared roadmap and navigate trade-offs clearly—especially explaining statistical/technical trade-offs to executives without losing nuance - Experience scaling a data science/ML function, including **team structure, hiring, and technical standards** --- ## Nice to Have - Experience building or overseeing **LLM evaluation harnesses** (e.g., golden sets, LLM-as-judge) - 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** --- ## Benefits & Perks - Choice of medical plans with an option for **100% covered premiums** (medical, dental, vision) - Supplemental **Life** and **Disability** insurance plans - **Fertility and adoption** benefits - **Headspace** mindfulness app subscription - Global **Employee Assistance Program** - Retirement benefits with employer match - **Flexible paid time off** - **12 weeks paid parental leave** and family care leave - **Pretax commuter benefit** - **Education reimbursement** - Employee donation match to community organizations - **7 Employee Resource Groups (ERGs)** - **Dog-friendly** workplace - Free lunch and snacks - Private rooftop - **Hack week twice per year** **Cash Compensation Range:** **$223,000 - $358,800 USD** --- ## Abou
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.