We are looking for a Sales Account Executive to act as the liaison between our Marketing and Sales teams. Your role will be to seek new business opportunities by contacting and developing relationships with potential customers.

To be successful in this role, you should have previous experience developing leads from marketing campaigns and meeting sales quotas. You will use your communication skills to cultivate strong relationships with customers, from first contact until you close the deal. You will also ensure proper after-sales service. If you are motivated and results-driven, and enjoy working in a team environment, we’d like to meet you.

Ultimately, you will boost sales and contribute to our long-term business growth.

"The hardest part of closing any deal is finding it" - Lars Nilsson



Why we exist

<aside> 📜 Blog post: Why Mage exists


We believe in a world where every business, small and large, can create transformational products for their customers.

Our mission is to equip developers with accessible AI technology so they can deliver magical experiences to their users.

We’re making AI accessible to front-end developers, backend developers, and native developers at small to medium sized companies. Mage will make AI technology so accessible, a mom-and-pop shop can harness its power.


Mage is the Stripe for AI. Stripe made it easy for developers to integrate payments into their apps. Mage makes it easy for product developers to integrate AI into their apps.

Mage is a collaborative AI tool for product developers.

With Mage, product developers can import data from data warehouses, transform data, train models, improve models, and deploy models without having to rely on data scientists or hiring AI engineers and waiting 6 months for them to ramp up.

You can increase revenue and retention by using an AI tool like Mage to make predictions using your existing data. Use cases for AI include improving ranking to increase revenue, recommend new products to users to increase revenue, increase app engagement by predicting when a user will stop using it, predict membership subscriptions to increase retention of existing paying users, and more.