CloudKitchens

Engineering Manager - Data Engineering & Insights - Seattle, WA

CloudKitchens$224K — $283K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years leading engineering teams across data/platform and product domains
  • History of building and scaling diverse teams in backend, analytics engineering, and full-stack/frontend
  • Strong background in modern data modeling and semantic layers
  • Experience implementing data governance frameworks including lineage and compliance
  • Ability to collaborate with PMs, designers, and executives
  • Comfort owning operational health from data pipelines to user interface
  • Interest in establishing AI-ready data foundations and implementing AI insights

Responsibilities

  • Lead the end-to-end strategy for Otter Insights, including pipelines and customer-facing analytics
  • Drive real-time and batch data ingestion ensuring robust APIs and canonical datasets
  • Oversee the semantic layer for consistency in metrics across processing
  • Establish and enforce analytics engineering standards for high data quality
  • Deliver data-intensive customer applications and automated reports
  • Build automated AI insights with governance structures and observability
  • Hire, mentor, and guide a cross-functional engineering team, setting technical direction

Benefits

  • Medical, dental, and vision insurance with multiple plans including HSA options
  • Company-paid life and disability insurance
  • Voluntary insurance options for accident, critical illness, and hospital indemnity
  • 401(k) plan with additional savings options
  • Discretionary vacation days and paid holidays
  • Paid sick time and bereavement leave
  • Paid parental leave and pet insurance discount
Full Job Description
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

Data Platform & Analytics Engineering
  • Hands-on experience with SQLMesh, dbt, and Cube.
  • Pipeline CI/CD, data observability, and orchestration (Flink / or similar batch tools)
  • ClickHouse, Pinot, or Trino
  • Data access controls, platform hardening, and permissioned sharing

Applications & Insights (Full-Stack)
  • Engineering experience across React, TypeScript, and Java (or Kotlin/Scala)
  • Building dashboards, custom charts, automated report scheduling, and data exports
  • Designing and implementing secure, permissioned data-sharing APIs

Preferred Domain Experience (A Plus, Not Required)
  • Restaurant, marketplace, or delivery analytics.
  • Familiarity with Otter Business Manager is a plus.


What else you need to know

This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $224,000 - $283,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, dental, and vision insurance (multiple plans, incl. HSA options).
  • Company-paid life and disability insurance (short- and long-term).
  • Voluntary insurance: accident, critical illness, hospital indemnity.
  • Optional supplemental life insurance for self, spouse, and children.
  • Pet insurance discount.
  • 401(k).
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Time Off policies:
    • Discretionary vacation days
    • 8 paid holidays per year
    • Paid sick time
    • Paid Bereavement leave
    • Paid Parental Leave

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?

#LI-Onsite

About CloudKitchens

CloudKitchens is a technology company that provides a platform for restaurants to operate delivery-only kitchens. The company's platform allows restaurants to expand their delivery reach without the need for additional physical locations, while also providing real-time data and analytics to optimize operations. CloudKitchens was founded in 2016 by Travis Kalanick, the co-founder of Uber, and is headquartered in Los Angeles, California.
Learn more about CloudKitchens
Size
1,000 employees
Industry
Founded
2016

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