Senior Sales Engineer (Federal)

Washington, DC
Full Time
Sales
Experienced
Founded in 2012, H2O.ai is at the forefront of the AI movement to democratize Generative AI. H2O.ai’s open-source Generative AI and Enterprise h2oGPT, combined with Document AI and the award-winning autoML Driverless AI, have transformed more than 20,000 global organizations and over half of the Fortune 500 and household brands, including AT&T, Commonwealth Bank of Australia, Chipotle, ADP, Workday, Progressive Insurance, and AES.

Our “AI for Good” program supports nonprofit groups, foundations, and communities in their efforts to advance education, healthcare, and environmental conservation, including identifying areas vulnerable to natural disasters and protecting endangered species.

We have a vibrant community of two million data scientists worldwide and aim to bring together the world’s top data scientists with customers to co-create GenAI applications that are usable and valuable by everyone. Business users can now leverage the power of LLMs to enhance productivity with enterprise applications.

H2O.ai is a Visionary in the 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We are the only provider in the market to offer both Predictive AI and Generative AI on premise and air gapped, in addition to supporting all cloud environments.


About This Opportunity

Are you a sales data scientist or machine learning sales engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you!

As a Senior Sales Engineer you will become an integral part of the Federal Solutions Engineering team responsible for working with a wide range of customers and prospects across multiple industries and verticals.

You will be responsible for technical sales activities required to support attainment of new and expansion revenue for H2O.ai sales. As part of that, you will be a key technical advisor to H2O.ai customers and prospects:

 
  • Being a trusted advisor and go-to resource of all technical Gen AI/ML challenges during the sales process.
  • Providing machine learning expertise to help customers solve their business challenges.
  • Selling and architecting value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency.

This role is based in the DC Metro area. You will spend 75% of your time in this area so being in a close location is necessary.


What You Will Do

 
  • Be the trusted data science advisor for our prospects, customers and partners.
  • Own account-related technical items and relationships - account planning, project management, and solution design.
  • Communicate effectively with internal and external stakeholders to a diverse audience, including: engineers, business people, partners and executives to demonstrate thought leadership. Audiences will be large and small, and interactions will be in-person and online. 
  • Translate business use cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
  • Demonstrate machine learning solutions with engaging storytelling and technical accuracy.
  • Create, design, and deliver compelling presentations on complex and technical concepts.
  • Lead successful proof of values and concepts.
  • Keep track of customer projects and provide technical support for successful delivery wherever necessary.
  • Participate in classified conversations with sensitive prospects and customers.


What We Are Looking For
 
  • Bachelor’s or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
  • Minimum of 5 years of relevant sales engineering experience working in the field of Gen AI/ML, in a pre-sales customer facing role.
  • U.S. Citizen with a TS/SCI Security Clearance.
  • Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries is required.
  • Consultative selling experience is an asset.
  • In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines.
  • Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes.
  • Excellent verbal and written communication skills.
  • Self-starter, able to work without any supervision.
  • Comfortable with travel away from the DC Metro area up to 25% (customers, conferences, etc.).


How to Stand Out From the Crowd
 
  • Past experience working within the Intelligence community
  • Past experience with a consulting company


Why H2O.ai?
 
  • Market Leader in Total Rewards
  • Remote-Friendly Culture
  • Flexible working environment
  • Be part of a world-class team
  • Career Growth
  • Base salary range: $150,000 - $168,000

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. 

H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.

Please visit www.H2O.ai to learn more.
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