Engineering Manager - Data Engineering & Insights

About this role

<p><strong>Who we are </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 & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. </p> <p> </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> </p> <p><strong>What we’re looking for</strong></p> <ul> <li><strong>Blended Team Leadership:</strong> 4+ years of experience leading engineering teams across both data/platform and product domains</li> <li><strong>Cross-Functional Team Building:</strong> Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend)</li> <li><strong>Modern Data Modeling:</strong> A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products</li> <li><strong>Pragmatic Data Governance:</strong> Experience implementing data lineage, catalogs, compliance, and quality frameworks</li> <li><strong>Product & Executive Partnership:</strong> Ability to collaborate closely with PMs, designers, and executive stakeholders w</li> <li><strong>Full-Stack Accountability:</strong> Comfort owning end-to-end operational health, monitoring incidents, and managing on-call rotations from the data pipeline down to the user interface.</li> <li><strong>Forward-Looking Mindset:</strong> A genuine interest in establishing AI-ready data foundations and building AI-enabled insights on top of certified metrics and metadata.</li> </ul> <p> </p> <p><strong>Desirable Technical Skills</strong></p> <p><strong>Data Platform & Analytics Engineering</strong></p> <ul> <li>Hands-on experience with SQLMesh, dbt, and Cube.</li> <li>Pipeline CI/CD, data observability, and orchestration (Flink / or similar batch tools)</li> <li>ClickHouse, Pinot, or Trino</li> <li>Data access controls, platform hardening, and permissioned sharing</li> </ul> <p><strong>Applications & Insights (Full-Stack)</strong></p> <ul> <li>Engineering experience across React, TypeScript, and Java (or Kotlin/Scala)</li> <li>Building dashboards, custom charts, automated report scheduling, and data exports</li> <li>Designing and implementing secure, permissioned data-sharing APIs</li> </ul> <p><strong>Preferred Domain Experience (A Plus, Not Required)</strong></p> <ul> <li>Restaurant, marketplace, or delivery analytics. </li> <li>Familiarity with Otter Business Manager is a plus.</li> </ul> <p> </p> <p><strong>Why join us </strong></p> <ul> <li>Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.</li> <li>Changing the restaurant…