Enterprise Sales Engineer, Cube

Salary not provided
SQL
Python
C#
Scala
Java
Node.js
Ruby
Semantic
Oracle
SAP
Cube
Senior and Expert level
San Francisco Bay Area
Remote from US
Cube

Agentic analytics platform

Job no longer available

Cube

Agentic analytics platform

21-100 employees

B2BArtificial IntelligenceAnalyticsBusiness IntelligenceSaaSAPI

Job no longer available

Salary not provided
SQL
Python
C#
Scala
Java
Node.js
Ruby
Semantic
Oracle
SAP
Cube
Senior and Expert level
San Francisco Bay Area
Remote from US

21-100 employees

B2BArtificial IntelligenceAnalyticsBusiness IntelligenceSaaSAPI

Company mission

To power the next generation of data experiences by bringing clarity, consistency, and context to business data and making it easy to securely deliver that data to every data consumer in the enterprise.

Company mission

To power the next generation of data experiences by bringing clarity, consistency, and context to business data and making it easy to securely deliver that data to every data consumer in the enterprise.

Our take

With data scattered across various systems, many businesses struggle to meaningfully analyse it. The inconsistency in formats and locations makes data integration complex and time-consuming, so Cube tackles this challenge with its semantic layer platform.

Cube's platform unifies data from different sources into a consistent format. This simplifies data ingestion and analysis for developers. Plus, it provides a central API that eliminates the need to manage multiple data systems and APIs individually.

The company is well-funded and continues to expand its market reach and platform development. In 2025, for example, it launched D3, the first agentic analytics platform built on a universal semantic layer, that solidifies its position as an innovator in the space.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Benefits

  • Generous stock options
  • Unlimited Personal Time Off
  • Off-sites several times a year for a week of meetings, events, and fun
  • Personal development support such as training courses, free books on our Kindle account, and other options
  • Work from anywhere (we'll cover the cost of a coworking space if you'd rather prefer not working from home)

Funding (last 2 of 3 rounds)

Jun 2024

$25m

EARLY VC

Jul 2021

$15.5m

SERIES A

Total funding: $46.7m

This company has top investors

Leadership

Artyom Keydunov

(CEO & Co-founder)

Previously co-founded Statsbot where they served as the CEO for 4 years. Prior to that, they were a Senior Ruby Developer at Happy Numbers.

Pavel Tiunov

(CTO & Co-founder)

Previously co-founded Statsbot and served as the CTO for 4 years. They also co-founded AllcountJS. They are also experienced as a Software Engineer, having worked at Toptal, Quarta VK and NetCracker