Founding Senior Data Engineer, Domains Search

The Domains Search team at Squarespace is building the next generation of intelligent search experiences for helping customers find the perfect domain. From leveraging large language models to generate creative domain suggestions, to building scalable ranking and personalization systems, our team sits at the intersection of applied machine learning, natural language processing, and large-scale search & recommendation infrastructure.

We're looking for a Data Engineer to build the data foundation that powers our search and ML systems. You will report to the Engineering Manager of the Domains Search team in our New York City headquarters.

Why Join Us

This is a unique opportunity to shape a greenfield ML initiative at Squarespace. As part of a small, high-impact team, you'll have influence over how we build our search platform and how millions of customers discover their online identity.  If you've wanted to build a next generation of search system with few legacy constraints, we'd love to hear from you.

You'll Get To...

• Build and own the data pipelines that power our search system: corpus ingestion, processing, enrichment, and index refresh.
• Design and maintain feature pipelines for ML models, partnering with our Ranking MLE on feature engineering and computation.
• Own the embedding pipeline infrastructure to run our models at scale.
• Integrate with and extend feature store infrastructure to serve features at training and inference time.
• Establish data quality monitoring, validation, and alerting across the search data stack.
• Partner with Machine Learning Engineering on index refresh strategies and schema evolution.
• Collaborate with Data Science to ensure clean, reliable data for experimentation and offline evaluation.
• Make pragmatic infrastructure decisions.  You’ll adopt existing systems where they fit and build new ones where they don't.

Who We're Looking For

• 7+ years of professional experience in data engineering, including 2-3+ years supporting ML or search systems.
• Experience building and operating batch and streaming data pipelines at scale on a major cloud platform (AWS, GCP, or Azure).  Background in low-latency data systems is a strong plus.
• Strong SQL skills with modern data tooling (Spark, Airflow, dbt, or similar).
• Familiarity with ML infrastructure, such as feature stores, vector databases, embedding pipelines and ideally search systems (Elasticsearch, Solr, Vespa, or similar)
• Data ownership to drive quality end-to-end, including schema design, validation, monitoring, and debugging.

Benefits & Perks

• 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
• 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 Global Employee Resource Groups (ERGs)
• Dog-friendly workplace
• Free lunch and snacks
• Private rooftop
• Hack week twice per year

Cash Compensation Range: $128,500 - $231,500 USD

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.

About Squarespace

Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of cust