Machine Learning Sales Engineer

AI is rapidly changing the world. From processing job applications and credit decisions, to making content recommendations and helping researchers analyze genetic markers at scale -- many aspects of our daily lives are touched by machine learned systems in some way.

Build relationships with technical stakeholders
Lead product demonstrations of the Arize platform
Lead discovery to understand prospect’s ML stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform
Handle technical objections and develop strategies across sales, engineering, and product to unblock them

Strong Communication Skills:
You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly.
Ability to simplify complex, technical concepts
A quick and self learner:
You are undaunted by the technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.
You ask the right questions with the customer to uncover nuances in their unique deployments.
Ability to work within ambiguity and take action with limited direction
Knowledgeable in Machine Learning:
You may not have a PhD in ML but you know the difference between Linear Regression and Boosted Trees and the advantages / disadvantages of each.
You have some experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc.
5+ years within customer facing role:

Pre-sales, technical account management, or consulting experience
Worked customers within the high enterprise