Jack Gardner

Account Executive at Impira

Jack Gardner has worked in business development for startups for the past few years. Their most recent role was with Water Hero, a startup that produces smart leak detection devices for residential and commercial applications. At Water Hero, Jack built a database of United States commercial construction and development companies and reached out to them in order to implement WaterHero in commercial applications.

Prior to working at Water Hero, Jack was with SeaAhead, a Benefit Corporation that supports new venture development at the intersection of innovation + sustainability + the oceans. At SeaAhead, Jack worked with technologists, scientists, startups, corporations, governments and other ocean stakeholders to create impact in areas including greener shipping and ports, aquaculture and fishery processes, offshore alternative energy and smart cities.

Before their work in business development, Jack worked in sales for Brookwood Securities Partners, LLC. Jack has a long history of working in various business roles and is currently an account executive at Impira.

Jack Gardner completed their undergraduate degree at St. Lawrence University, where they studied economics and mathematics with a minor in statistics.

Jack Gardner works with Richard Stebbing - Co-Founder & CTO, Maggie McKinney - People & HR Operations Lead, and Michael Andrews - Co-Founder & Chief Architect. Jack Gardner reports to Ankur Goyal, Co-Founder & CEO.


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Impira

Impira is on a mission to make work-life simpler, more productive and more meaningful. That’s why they built Impira, an AI platform for business users, not just data scientists. Impira manages unstructured data, such as documents, videos, images, audio, and webpages, and by understanding the context and attributes, bridges this information into a structured format. This unleashes more creativity, improves workflows and data-driven decision making, and builds more efficient operations. Unlike many AI vendors, Impira empowers business users to build and train the models that give structured access to unstructured data to enable new levels of data transparency.


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11-50

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