
SaaS • eCommerce • B2B
Olo is a restaurant technology platform that helps restaurants streamline their operations, enhance guest experiences, and increase sales. It provides comprehensive solutions for online ordering, delivery, catering, payment processing, and guest engagement through its fully integrated systems. Olo enables restaurants to leverage guest data to improve marketing strategies and optimize service through features like the Guest Data Platform and personalized marketing solutions. By using Olo, restaurants can manage digital orders, reduce fraud, and benefit from insights that drive growth and profitability. With a focus on online sales and customer relationship management, Olo partners with over 700 restaurant brands to enhance their digital capabilities and facilitate profitable growth.
501 - 1000 employees
Founded 2005
☁️ SaaS
🛍️ eCommerce
🤝 B2B
💰 $103.3M Post-IPO Equity on 2021-11
November 7

SaaS • eCommerce • B2B
Olo is a restaurant technology platform that helps restaurants streamline their operations, enhance guest experiences, and increase sales. It provides comprehensive solutions for online ordering, delivery, catering, payment processing, and guest engagement through its fully integrated systems. Olo enables restaurants to leverage guest data to improve marketing strategies and optimize service through features like the Guest Data Platform and personalized marketing solutions. By using Olo, restaurants can manage digital orders, reduce fraud, and benefit from insights that drive growth and profitability. With a focus on online sales and customer relationship management, Olo partners with over 700 restaurant brands to enhance their digital capabilities and facilitate profitable growth.
501 - 1000 employees
Founded 2005
☁️ SaaS
🛍️ eCommerce
🤝 B2B
💰 $103.3M Post-IPO Equity on 2021-11
• Analyze, define and implement our enterprise data platform and the processes that build it. • Collaborate closely with cross-functional teams, including analytics, product, and external customer stakeholders. • Design, implement, and optimize robust data workflows that enable smarter, faster decisions. • Lead the implementation of tools and frameworks for automating the identification of data quality issues. • Provide subject matter expertise and guidance for internal and external customers. • Play a lead role in planning, providing advice and guidance, mentoring less experienced engineers. • Recommend improvements to processes, technology, and interfaces that improve team effectiveness.
• 5+ years of experience in data engineering, with a focus on data warehousing, ETL/ELT pipelines, and data modeling. • Proven experience in designing and implementing data warehouses using the Kimball dimensional modeling methodology. • Strong proficiency in Python for data processing and automation. • Hands-on experience with dbt for data transformation and testing within the data warehouse environment. • Experience with Amazon Web Services (AWS) for data storage, processing, and analytics services. • Experience working on data products designed for external customers is highly desired. • Experience with Customer Data Platforms (CDP) is a significant bonus. • Familiarity with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, CloudFormation) is a bonus. • Ability to participate in an on-call rotation to support data platform operations and incident response.
• Private healthcare coverage • Participation in all statutorily required benefits and pension programs
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