Enterprise Sales Engineer, Cube

Salary not provided

SQL

Python

Scala

Java

Node.js

Ruby

Semantic

Oracle

SAP

Cube

Senior and Expert level

San Francisco Bay Area

Remote from US

Analytical API platform

Be an early applicant

Analytical API platform

21-100 employees

B2BAnalyticsBusiness IntelligenceSaaSAPI

Be an early applicant

Salary not provided

SQL

Python

Scala

Java

Node.js

Ruby

Semantic

Oracle

SAP

Cube

Senior and Expert level

San Francisco Bay Area

Remote from US

21-100 employees

B2BAnalyticsBusiness 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.

Job

Company

Role

Who you are

5+ years of experience in Sales Engineering, Solutions Consulting, or Customer Success roles
Previous experience supporting enterprise SaaS sales, ideally with complex technical products (data platforms, analytics tools, or semantic layers)
Deep understanding of enterprise data cloud environments and the modern data stack: cloud data warehouses, data transformation, and BI tools
Strong SQL skills and experience with data modeling concepts
Excellent communication skills to clearly articulate value to both technical and non-technical audiences
Comfortable working at a startup, problem-solving on the fly, and working cross-functionally

Desirable

Experience working with modern semantic layers (e.g., Cube, LookML, MetricFlow, etc.)
Experience working with legacy OLAP semantics (e.g. Microsoft, Oracle, SAP, etc.)
Expert in at least one of the high-level languages such as Node.js, Ruby, Python, Java, Scala, C#, or similar

What the job involves

We’re seeking an experienced Enterprise Sales Engineer to serve as a strategic technical partner for our enterprise customers, helping them navigate complex data challenges through Cube’s semantic layer.
This role offers the opportunity to influence how modern data teams adopt Cube by collaborating with Account Executives, leading solution design and evaluations, contributing to the product roadmap, and engaging prospects through tailored demos, pilots, and thought leadership
Become a confident subject-matter expert on semantic layers, data modeling, performance tuning, and modern data stacks
Partner with Account Executives to deliver tailored demos, technical deep dives
Own and document the technical relationship with customers: requirements gathering, solution architecture, integrations, and success criteria for pilots or POCs
Translate complex data problems into elegant solutions using our semantic layer and integrations with BI tools, data warehouses, and governance systems
Document and refine relevant customer feedback for product feature and partner integration roadmap
Collaborate with account executives on RFP/RFI responses
Lead security and architecture reviews with enterprise prospects
Generate pipeline by writing blogs and delivering webinars

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.

Recently securing substantial funding, Cube is now ready to expand its market reach and platform development. It will work to improve its capabilities to handle complex calculations and reduce the need for custom coding. This will lead to greater efficiency and cost savings for its users, positioning the company in a prime position for growth.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Jun 2024

$25m

EARLY VC

Jul 2021

$15.5m

SERIES A

Total funding: $46.7m

Company benefits

Work from anywhere (we'll cover the cost of a coworking space if you'd rather prefer not working from home)
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

Company HQ

SoMa, San Francisco, CA

Leadership

Artyom Keydunov

(CEO)

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)

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

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