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 North American Solutions Engineering team responsible for working with a wide range of customers and prospects across multiple industries and verticals. This role is based in the DC Metro area. You will spend 50% of your time in this area so being in a close location is necessary.
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
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 systemsfrom 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 whenever necessary.
What We Are Looking For
Bachelors or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
Minimum of 2 years of relevant sales engineering experience working in the field of Gen AI/ML, in a pre- sales customer facing role.
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 traveling up to 50%
Why H2O.ai?
Market Leader in Total Rewards
Remote-Friendly Culture
Flexible working environment
Be part of a world-class team
Career Growth
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. Weve 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 worlds 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 companys purpose.
Please visit
www.H2O.ai
to learn more.
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