Today, we are immensely proud to announce that Jen Grant is joining us as COO.
How to sum up Jen Grant in three words? Seasoned-leader. Skiing-aficionado. Uniquely-good-at-taking-companies-from-early-stages-to-billion-dollar-outcomes.
We’ll be transparent—it’s in our best interest to brag here about our new COO’s achievements; fortunately for our marketer, her resume reads like the player card of a career NBA MVP (but, you know, tech). So, here are some of Jen’s stats:
A graduate of Princeton and Wharton, she began her marketing career at Google; she closed her time there as a leader of several product marketing teams, having launched products such as Gmail, Calendar, Talk, and Blogger.
Jen then served as CMO of Elastic, where she led its rebranding and established its marketing team.
Following that absurdly successful tenure, she co-founded and served as Appify’s CEO, where she is now an advisor to the board. She also sits on the boards of Kyndi, Dialpad, and Pecan AI and advises Stytch, Waitlist.me, and Postal.io.
As Cube continues to expand and hit major milestones, our product-market fit is evident—and so is our need to continue to grow our team of (humble) rockstars with (humble) rockstar leadership. From her widely recognized experience in data, it's clear that Jen has a love for building organizations and a knack for spotting the critical problems to solve and the right solutions to solve them—making our pairing an ideal match.
With all of this, it's easy to understand why we are so excited to have Jen join us as our COO.
A note from Jen:
“There is so much potential here that I just couldn’t sit on the sidelines any longer.”
Cube came across my desk about half a year ago—when I had resolved to take the winter off from work. The thing is, my intrigue in the massive problem Cube is solving and how it's solving it eclipsed even my love of skiing.
As the CMO of Looker, I was acutely aware of how costly inconsistent data was to organizations. Businesses had many data sources, even more data apps, and consequently, way, way too many data silos which stood in the way of producing meaningful insights.
What I also understood was that this was happening in almost all companies, 86% of which use two BI tools simultaneously, and 61% of which use four or more: businesses wanted to do analysis over all their data sources but knew that the tech to make that possible didn’t exist (even Looker was only a step towards solving this challenge)
Too late for me to use it at Looker, but at the perfect time for me to jump at the incredible opportunity to help build it, I learned about Cube.
As a universal semantic layer, Cube solves the problem we shared at Looker with so many other organizations. Cube allows companies to easily connect to multiple cloud data warehouses, define metrics consistently through a single upstream data model, and feed that consistent data to any data app. It addresses security issues with its centralized data access controls, data performance issues with its two-level caching layer, and stack incompatibility issues with its instant APIs.
So, yes, I was personally familiar with the problem Cube is fixing.
But also, the proof of the entire market’s need for Cube is in the product-led growth pudding: initially just an open-source product, the company surpassed $1MM ARR in only a year—and by a healthy amount. We’re continually growing, we’re selling, we’re raising, and we’re hiring—and knowing all of this, the decision to put away my skis and join Cube as COO was easy to make.
There is so much potential here that I just couldn’t sit on the sidelines any longer.
Onwards and upwards,