Senior Sales Engineer, H2O.ai
$175-250k
More information about location
Open-source AI cloud platform
Be an early applicant
Open-source AI cloud platform
201-500 employees
Be an early applicant
$175-250k
More information about location
201-500 employees
Company mission
To democratize AI for everyone.
Role
Who you are
- Bachelor’s Degree required in computer science, engineering, mathematics or related fields, or equivalent experience required
- 5+ years of technology architecture experience with a deep understanding of how to scale applications with large data sets
- 3+ years of Cloud Provider (AWS, Azure, GCP) customer facing application development experience and expert knowledge of Kubernetes
- Experience producing technical architecture diagrams for various infrastructures with multiple components and deployment strategies
- Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- Broad range of experience with on-prem and/or cloud software
- Consultative selling experience is an asset
- Experience with programming languages (R, Python, Java) for machine learning
- Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries
- Excellent verbal and written communication skills
- Self-starter, able to work without any supervision
- Comfortable with traveling up to 50% and supporting customers in greater Manhattan area
- Experience with H2O.ai a plus
What the job involves
- We are seeking a Senior Sales Engineer for our North American Solutions Engineering team to provide leadership in working with both technical and business executives in the design, architecture, and deployment of H2O.ai solutions as a critical component of their enterprise data architecture and overall ecos
- Apply your expertise while presenting H2O.ai technology and vision to executives and technical contributors at strategic prospects, customers, and partners
- Work with our product management, partners, and sales teams to drive innovation in H2O.ai technologies, leverage best practices and reference architectures highlighting H2O’s AI Cloud Platform as a core technology enabling platform for the emerging analytics application workload throughout an organization
- Partner with sales team and channel partners to understand the needs of our customers, strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts
- Collaborate closely with our Product team to effectively influence the H2O.ai product roadmaps based on field team and customer feedback
- Partner with Sales and Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and white papers
- Contribute to the creation of reference architectures, blueprints, best practices, etc. based on field experience to continue to up-level and enable our internal stakeholders
- Respond to technical product questions across the entire suite of H2O technology
- Successfully demo key components of core H2O.ai technology including Driverless AI, Feature Store, EnterpriseGPT, ML Ops, as well as open source offerings such as H2O-3, Sparkling Water, Wave, h2oGPT and LLM Studio
Our take
Dedicated to making the world of AI more accessible to everyone, H2O.ai provides a platform that supports the making and operating 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 to any business' success, AI and machine learning 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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 4 more jobs at H2O.ai