Engineering Manager - Data Engineering & Insights

<p><strong>Who we are&nbsp;</strong></p> <p>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 &amp; Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.&nbsp;</p> <p>&nbsp;</p> <p><strong>Role</strong></p> <p>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.</p> <p><strong>The Impact:</strong> Empower merchants with fast, trustworthy, and actionable metrics that change how they run their businesses every single day.</p> <p><strong>What you’ll do</strong></p> <ul> <li><strong>Own Otter Insights End-to-End:</strong> Lead the strategy for everything inside Business Manager (pipelines and datasets to the semantic modeling layer and customer-facing embedded analytics).</li> <li><strong>Manage Ingestion to Serving:</strong> Drive both real-time and batch pipelines, ensuring canonical datasets and robust APIs are built to empower other internal teams.</li> <li><strong>Scale the Semantic Layer:</strong> Oversee frameworks (like Cube/SQLMesh) to ensure metrics and dimensions remain consistent across batch and real-time processing.</li> <li><strong>Drive Data Governance:</strong> Establish analytics engineering standards and ensure adoption across broader product teams to maintain high data quality.</li> <li><strong>Ship High-Performance Products:</strong> Deliver data-intensive, customer-facing applications including the Analytics App, Analytics Studio, automated reports, and data-sharing APIs.</li> <li><strong>Deploy Safe AI Insights:</strong> Build automated AI insights on top of governed metrics, implementing strict guardrails, observability, and customer-impact triage.</li> <li><strong>Build and Coach the Team:</strong> Hire, mentor, and retain a cross-functional team of analytics engineers and full-stack/frontend engineers while setting technical direction across the stack.</li> </ul> <p>&nbsp;</p> <p><