Engineering Manager - Data Engineering & Insights Seattle, WA

Engineering Manager
- Data Engineering & Insights
- Seattle, WA

Seattle, WA

Who we are

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.

Role

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.

What you’ll do

• 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.

What we’re looking for

• 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.

Desirable Technical Skills

• 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

Applications & Insights (Full‑Stack)

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