Engineering Manager - Data Engineering & Insights

🏒 Otter · πŸ“ Seattle, WA πŸ’° $224,000 - $283,000 / yr
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Position Summary & Responsibilities

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
🎯 Candidate Preparation Guide For Otter Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Interviews focus on your ability to drive hyper-growth in fast-paced environments while maintaining product-led growth and merchant obsession.

πŸ“‹ Preparation Priorities (Key Areas to Clarify):
  • 1. Slow-moving, enterprise-bureaucratic mentality that clashes with startup speed
  • 2. Disconnection from frontline customer pain points and merchant unit economics
  • 3. Inability to pivot strategy rapidly when market conditions shift
✨ Recommended Role Alignment Hook:

I specialize in accelerating merchant growth and retention by relentlessly removing friction from the product-to-market loop.

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