Senior Solutions Engineer is the leading AI cloud company, on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly solve complex business problems and accelerate the discovery of new ideas. is the trusted AI provider to more than 20,000 global organizations, including AT&T, Allergan, Bon Secours Mercy Health, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA and Wells Fargo are not only customers and partners, but strategic investors in the company.’s customers have honored the company with a Net Promoter Score (NPS) of 78 — the highest in the industry based on breadth of technology and deep employee expertise.

The world’s top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are employees of A strong AI for Good ethos to make the world a better place and responsible AI drive the company’s purpose.

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Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge 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 Pre-Sales Solutions 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 be responsible for all technical pre-sales activities required to support attainment of new and expansion revenue for the business.

This role may be based anywhere in North America.

What You Will Do

Be the trusted technical advisor for our prospects, customers, and partners.

  • Own account-related technical items and relationships throughout the sales cycle
  • 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

Be an integral part of a maker community that creates the best products and solutions

  • Collate customer feedback and work with the engineering team to further enhance our product portfolio
  • Present at data science community meet-ups and webinars

What We Are Looking For


  • Advanced degree (MSc or PhD) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
  • 5+ years of relevant experience working in the field of AI/ML, preferably in a customer facing role
  • Consultative selling experience is an asset
  • Experience with programming languages (R, Python, Java) for machine learning
  • In depth understanding of machine learning algorithms for Supervised, Unsupervised and Deep learning
  • Experience applying AI/ML to solve real world problems, including deployment of end-to-end ML pipelines
  • Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes
  • 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% (post COVID)


  • Market Leader in Total Rewards
  • Remote-Friendly Culture
  • Flexible working environment
  • Be part of a world-class team
  • Career Growth 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.

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