Menlo Ventures
Menlo Ventures is a venture-capital firm with nearly five decades of experience, managing $5.
Company facts
- Founded
- 1976
- Employees
- 50
- Headquarters
- United States
- CEO
- Shawn Carolan
- Type
- Small Business
About
Menlo Ventures is a venture-capital firm with nearly five decades of experience, managing $5.8 billion across more than 80 public companies and 165 M&A deals. The firm invests across consumer, enterprise, and healthcare sectors, supporting companies from seed to growth stages in fields such as fintech, SaaS, cloud, security, and life sciences. Menlo differentiates itself by offering hands-on market-strategy support, community building, and operational expertise that help entrepreneurs scale quickly and sustainably. Its culture emphasizes a commitment to positive impact, reflected in a portfolio that includes innovators like Chime, Uber, and Roku. When the firm invests, it commits fully—ALL IN—to the success of its partners.
Staff Backend Engineer: Distributed Data & AI Platform
Staff backend engineer at Databricks' new Vancouver R&D hub, building large-scale distributed features for its data and AI platform across teams like Log Analytics, AI/BI, Unity Catalog, and Databricks Apps. Core work spans backend systems in Java/Scala/C++, distributed systems, SQL, and cloud infrastructure (AWS/Azure/GCP, Docker, Kubernetes).
Senior Fullstack Engineer — Data & AI Platform
Senior fullstack engineer building customer-facing features for Databricks' data and AI platform teams in Vancouver (Log Analytics, AI/BI, Unity Catalog, Databricks Apps). Day to day spans front-end UX with modern JavaScript frameworks and large-scale distributed backend services using SQL, cloud, and Kubernetes.
Senior Backend Engineer: Scale Distributed Systems
A leading data and AI company is hiring a Software Engineer with a backend focus. Solliciteren op deze functie is eenvoudig. Scroll naar beneden en klik op \'Solliciteren\' om in aanmerking te komen voor deze…
Senior Software Engineer - Backend
Build and scale backend infrastructure for Databricks’ data and AI platform, working on distributed systems, cloud storage backends, and scalable services in Scala/Java.
Staff Software Engineer - Backend
Build and scale Databricks’ backend infrastructure and services, including distributed systems, Kubernetes, and data pipelines, to support millions of cluster-hours daily.
Senior Backend Engineer: Scale Distributed Systems
Build and scale distributed cloud storage infrastructure and backend services for a data and AI platform using Java or Scala.
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Build and optimize distributed systems and data-processing infrastructure for a leading AI platform using Java, Scala, or C++.
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Build and scale distributed systems and lakehouse infrastructure for a data/AI company, using Java, Scala, or C++ to ensure reliability and performance.