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Database Engineering Team Manager

Squarespace - Dublin

Posted Jun 6, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

5% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Database Engineering Team Manager Dublin Squarespace provides innovative solutions to empower our customers to focus on building their brand and growing their businesses on our platform. The Databases team manages all of the backend infrastructure that Squarespace runs on - MongoDB, CockroachDB, and Kafka clusters, to name a few examples. We are an accomplished, diverse group of people who develop the services that guarantee reliable and scalable infrastructure for both our cross-functional partners in product engineering, as well as our end users on the Squarespace platform. We believe that infrastructure excellence doesn't stop at just building for today; it needs to have a solid foundation of scalability, reliability, and a robust developer experience for the future. This is a hybrid role working from our Dublin office 3 days per week. You will report to the Databases Senior Engineering Manager. You'll Get To… - Nurture high-performing software engineers by guiding navigation when there is ambiguity. - Distill the scope of the team and help hire a balanced group of engineers that will excel as a unit. - Grow the career development of direct reports through regular 1:1s with direct, actionable feedback. - Celebrate wins that motivate the team's positive culture and robust dynamic. - Evaluate consistently to improve team efficiency and effectiveness when required. - Evolve a deep understanding of local systems to identify appropriate architectural decisions. - Thread with Product, Design & Engineering to champion, define and execute an optimal roadmap. - Bond across Engineering, Product, Design, Marketing, Data Science

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