Engineering Manager - Data Engineering & Insights

On-site in Seattle, WA, five days a week.

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery.

Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

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.

Empower merchants with fast, trustworthy, and actionable metrics that change how they run their businesses every single day.

• 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.

• Blended Team Leadership: 4+ years of experience leading engineering teams across both data/platform and product domains
• Cross-Functional Team Building: Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend)
• Modern Data Modeling: A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products
• Pragmatic Data Governance: Experience implementing data lineage, catalogs, compliance, and quality frameworks
• Product & Executive Partnership: Ability to collaborate closely with PMs, designers, and executive stakeholders w
• Full-Stack Accountability: Comfort owning end-to-end operational health, monitoring incidents, and managing on-call rotations from the data pipeline down to the user interface.
• Forward-Looking Mindset: A genuine interest in establishing AI-ready data foundations and building AI-enabled insights on top of certified metrics and metadata.

• Hands-on experience with SQLMesh, dbt, and Cube.
• Pipeline CI/CD, data observability, and orchestration (Flink / or similar batch tools)
• Click House, Pinot, or Trino
• Data access controls, platform hardening, and permissioned sharing

• Engineering experience across React, Type Script, and Java (or Kotlin/Scala)
• Building dashboards, custom…