Engineering Manager
US$224,000 – US$283,000 / yr base salary
Posted 9 Jun 2026
Advertised as “Engineering Manager - Data Engineering & Insights”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- People management
- Employment
- On-Site
| Base salary | US$224,000 – US$283,000 / yr |
|---|
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