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 & personalization systems, our team sits at the intersection of applied machine learning, natural language processing, & large-scale search & recommendation infrastructure.

We're looking for a Data Engineer to build the data foundation that powers our search & 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 & 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 & own the data pipelines that power our search system: corpus ingestion, processing, enrichment, & index refresh.
• Design & maintain feature pipelines for ML models, partnering with our Ranking MLE on feature engineering & computation.
• Own the embedding pipeline infrastructure to run our models at scale.
• Integrate with & extend feature store infrastructure to serve features at training & inference time.
• Establish data quality monitoring, validation, & alerting across the search data stack.
• Partner with Machine Learning Engineering on index refresh strategies & schema evolution.
• Collaborate with Data Science to ensure clean, reliable data for experimentation & offline evaluation.
• Make pragmatic infrastructure decisions.  Youll adopt existing systems where they fit & 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 & operating batch & 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 & ideally search systems (Elasticsearch, Solr, Vespa, or similar)
• Data ownership to drive quality end-to-end, including schema design, validation, monitoring, & debugging.

Benefits & Perks

• A choice between medical plans with an option for 100% covered premiums including medical, dental, & vision
• Supplemental Life & Disability Insurance plans
• Fertility & adoption benefits
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Retirement benefits with employer match
• Flexible paid time off
• 12 weeks paid parental leave & 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 & 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, & 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 & businesses online. We empower millions of customers in more than 200 countries & territories with all the tools they need to create an online presence, build an audience, monetize, & scale their business. Our suite of products range from websites, domains, ecommerce, & marketing tools, as well as tools for scheduling with Acuity & creating & managing social media presence with Bio Sites & Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, & Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers.

Our Commitment 

Today, more than a million people around the globe use Squarespace to share different perspectives & experiences with the world. Not only do we embrace & celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, 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 applicable law. We are proud to be an equal opportunity workplace.

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