AI Sales Director, East

At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston.

Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity.

Role Description: AI Sales Director, East

Role Purpose:

Wasabi Technologies is looking for an enthusiastic, driven and ambitious sales Rockstar with proven sales experience, focused on Artificial Intelligence and Machine Learning customers. We’re growing fast and looking to add to our growing sales team.

You’ll prospect for new business and nurture and sell to warm leads that have been well-cultivated by Wasabi’s outstanding marketing and business development teams. You’ll have an arsenal of resources to help your prospects learn about the disruptive price, performance and protection benefits of Wasabi hot cloud storage.

*Principals only. No recruiters.

Responsibilities:

•

• Sell Wasabi hot cloud storage solutions to new and existing clients, with a focus on AI/ML-driven organizations and data-intensive companies.

• Identify, target, and engage AI startups, model developers, and enterprise AI teams with high-performance storage needs.

• Leverage channel and technology alliance partnerships within the AI ecosystem to accelerate sales.

• Align Wasabi’s value proposition to AI use cases such as model training, inference, data lakes, and large-scale dataset storage.

• Host discovery and technical customer meetings to deeply understand AI/ML workflows, data pipelines, and infrastructure challenges.

• Develop strong customer rapport and trust within the AI and data engineering community.

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