Federal Account Executive, Virtualitics
DoD and IC
Data visualization platform
Job no longer available
Data visualization platform
101-200 employees
Job no longer available
101-200 employees
Company mission
To make advanced analytics and AI accessible, beautiful, and usable so that businesses, governments, and research bodies can make smarter decisions every day.
Role
Who you are
- Bachelor’s degree required; advanced degree a plus
- 5-7 years of overall experience selling technical solutions to the federal government
- 2+ years of proven enterprise software/SaaS sales experience, preferably in an early stage startup or other fast-paced, technology-driven environments
- Strong business development leadership skills and a track record in building and scaling strategies that deliver results against aggressive growth targets
- Knowledge of the federal sector, including the Department of Defense, Intelligence Community, and other federal civilian agencies and familiarity with the solicitation and proposal process
- Ability to establish clear value propositions via excellent communication skills in these forms: customer conversations, company and product presentations, written communications such as email and proposals
- The ability to work independently and remotely in an environment that changes rapidly (we’re a startup)
What the job involves
- Independently generate new business by identifying and acquiring new customers
- Identify business opportunities and source leads through networking, online research, and attending conferences and industry days
- Drive adoption of Virtualitics’ AI solutions across the DoD and IC
- Predict and forecast potential client use cases; identify innovative methods by which clients can utilize Virtualitics in different environments
- Manage customer relationships such as organizing site visits and coordinating customer discovery sessions, conducting demos, creating documentation and briefing materials, and answering in-depth questions about Virtualitics’ capabilities
Our take
Enterprises today struggle to implement AI successfully and embed it into the flow of work. One of the major reasons for that is that employees don’t trust AI recommendations because they don’t understand them!
Virtualitic - who was named a best LA startup to work for in 2023 - has developed a platform that solves this problem by making AI both understandable and accessible to anyone in the business through a primarily 3D data vizualization platform. It uses artificial intelligence, virtual reality and augmented reality technology to process and visualize data sets and to offer predictive analytics, which allows insights to be gathered and communicated faster than if traditional software was used.
The startup has made great strides in developing its product and is now going after increased market share in complex, data-rich markets, such as the defence industry.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2023
$37m
SERIES C
Apr 2021
$18m
SERIES B
Total funding: $69.4m
Company benefits
- Dental benefits
- Health insurance benefits
- Flexible spending account (FSA)
- Vision benefits
- 401(k)
- Company equity
- Unlimited paid time off
- Paid holidays
- Paid sick days
- Work from anywhere
- Wifi reimbursement
- Learning & development stipend
- Stocked kitchen
- Game room
- Parking
- Some meals provided
- Family medical leave
- Flexible work schedule
- Generous parental leave
Company HQ
Pasadena, CA
Leadership
Michael Amori
(CEO & Co-Founder)Prior to co-founding Virtualitics, they were a Managing Director at Deutsche Bank, where he headed a global data driven trading desk. Previously was an interest rates derivatives trader at various large banks. Graduated from the Goldman Sachs analyst program.
Dr. Ciro Donalek
(CTO & Co-Founder)Previously a Computational Staff Scientist at Caltech where they successfully applied Machine Learning techniques to many different scientific fields, co-authoring over a hundred publications featured in major journals (e.g., Nature, Neural Networks, IEEE Big Data, Bioinformatics).
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