Senior Sales Engineer, H2O.ai
$148-200k
+ Commission + Equity
Office located in Mountain View, CA
Open-source AI cloud platform
Job no longer available
Open-source AI cloud platform
201-500 employees
Job no longer available
$148-200k
+ Commission + Equity
Office located in Mountain View, CA
201-500 employees
Company mission
To democratize AI for everyone.
Role
Who you are
- Bachelor’s or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
- Minimum of 3-5 years of relevant experience working in the field of Gen AI/ML, in a customer facing role within a sales team
- 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 25 % for in person meetings
What the job involves
- As a 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
- You will cover the Silicon Valley and be responsible for sales engineering in the San Francisco Bay Area partnered with a top enterprise account executive
- You will be responsible for technical sales activities required to support attainment of new and expansion revenue for the business. As part of that, you will be a key technical advisor to H2O.ai customers and prospects
- Become a trusted advisor and go to resource for all technical Gen AI/ML challenges
- Provide machine learning expertise to help customers solve their business challenges
- Sell and design value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency
- Be the trusted data science technical sales 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 externally 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 sales support for successful delivery whenever necessary
Our take
Dedicated to making the world of AI more accessible to everyone, H2O.ai provides a platform that supports the making and operation of AI for businesses. The platform boasts a range of capabilities, from automated machine learning and no-code deep learning to AI-powered data labelling and extraction, as well as its most recently added "h2oGPT" that supplies enterprise generative AI.
With productivity, organisation and data analysis among the core parts of any business's success, AI and machine learning are getting more and more popular, as they are able to outpace humans' ability to absorb, interpret, and make complex decisions quickly. It is no surprise, then, that H2O.ai has a grand roster of clients, including GlaxoSmithKline, Capital One, and PayPal. It is also well-funded, and with such a comprehensive set of offerings, it is in a great place to secure further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Nov 2021
$100m
SERIES E
Aug 2019
$72.5m
SERIES D
Total funding: $251.1m
Company benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
Company HQ
Mountain View, CA
Leadership
Sri Satish Ambati
(Co-Founder & CEO)11 years experience in the Software and Engineering field prior to H2O.ai. Worked as Director of Engineering and Principal Engineer of DataStax.
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