Senior AI-Driven Analytics Engineering Manager (Hybrid)

Nextdoor; United States; Hybrid; USD 204,000 - 301,000; Full time

Benefits offered by this job

Equity grant

Health plans including 100% covered

OneMedical membership

Job summary

Nextdoor in the United States is seeking a Senior Analytics Engineering Manager to lead a data‑driven analytics engineering team, delivering curated datasets, dashboards, and data products. You will define standards, scale self‑service, and partner with finance, product, engineering to drive measurable outcomes.

The role combines hands‑on leadership with AI‑enabled tooling in a hybrid in‑office/work‑from‑home environment across multiple offices.

Qualifications

• 10+ years in analytics engineering, data engineering, or analytics.
• 3+ years of people leadership experience in analytics/data teams.
• Proven ability to define semantic layers and build scalable dashboards; Looker preferred.
• Experience building and operating ETL/ELT pipelines with robust validation and monitoring.
• Excellent communication; proven success partnering with cross‑functional stakeholders to define KPIs.
• Appetite for applying AI and emerging tools to increase productivity while maintaining rigor.

Responsibilities

• Develop and own the vision for Analytics Engineering with datasets, dashboards, and internal data products.
• Define standards for metrics, data governance, documentation, and SLAs; oversee data quality.
• Build, coach, and elevate a high‑performing analytics engineering team.
• Collaborate with data science, finance, marketing, sales, product, and engineering to prioritize the analytics roadmap.
• Scale data self‑service and literacy by expanding documentation and enablement for stakeholders.
• Guide architectural and operational excellence across ETL/ELT pipelines with version control.

Skills

SQL

Python

Data modeling

Tools

Looker

GitHub

Job description

Nextdoor in the United States is seeking a Senior Analytics Engineering Manager to lead a data‑driven analytics engineering team, delivering curated datasets, dashboards, and data products. You will define standards, scale self‑service, and partner with finance, product, engineering to drive measurable outcomes.

The role combines hands‑on leadership with AI‑enabled tooling in a hybrid in‑office/work‑from‑home environment across multiple offices.