Engineering Manager - Analytics Engineering - Seattle, WA

Otter•Seattle, WA

9h•$224,000 - $283,000•Onsite

About The Position

We are looking for a hands-on Engineering Manager to spearhead our evolution from traditional analytics to a next-generation intelligence platform. This is a great opportunity to lead a team managing the data behind roughly 80% of all online food orders in the US, and modernize our ecosystem by building an impeccable data foundation that moves beyond static charts into live, conversational insights. The Impact: Empower merchants with fast, trustworthy, and actionable metrics that change how they run their businesses every single day.

Requirements

4+ years of experience leading engineering teams across both data/platform and product domains
Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend)
A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products
Experience implementing data lineage, catalogs, compliance, and quality frameworks
Ability to collaborate closely with PMs, designers, and executive stakeholders
Comfort owning end-to-end operational health, monitoring incidents, and managing on-call rotations from the data pipeline down to the user interface.
A genuine interest in establishing AI-ready data foundations and building AI-enabled insights on top of certified metrics and metadata.

Nice To Haves

Hands-on experience with SQLMesh, dbt, and Cube.
Pipeline CI/CD, data observability, and orchestration (Flink / or similar batch tools)
ClickHouse, Pinot, or Trino
Data access controls, platform hardening, and permissioned sharing
Engineering experience across React, TypeScript, and Java (or Kotlin/Scala)
Building dashboards, custom charts, automated report scheduling, and data exports
Designing and implementing secure, permissioned data-sharing APIs
Restaurant, marketplace, or delivery analytics.
Familiarity with Otter Business Manager is a plus.

Responsibilities

Own Otter Insights End-to-End: Lead the strategy for everything inside Business Manager (pipelines and datasets to the semantic modeling layer and customer-facing embedded analytics).
Manage Ingestion to Serving: Drive both real-time and batch pipelines, ensuring canonical datasets and robust APIs are built to empower other internal teams.
Scale the Semantic Layer: Oversee frameworks (like Cube/SQLMesh) to ensure metrics and dimensions remain consistent across batch and real-time processing.
Drive Data Governance: Establish analytics engineering standards and ensure adoption across broader product teams to maintain high data quality.
Ship High-Performance Products: Deliver data-intensive, customer-facing applications including the Analytics App, Analytics Studio, automated reports, and data-sharing APIs.
Deploy Safe AI Insights: Build automated AI insights on top of governed metrics, implementing strict guardrails, observability, and customer-impact triage.
Build and Coach the Team: Hire, mentor, and retain a cross-functional team of analytics engineers and full-stack/frontend engineers while setting technical direction across the stack.