Presales Engineer

What You’ll Do

You are the trusted advisor to the customer:

• Build relationships with technical stakeholders
• Lead product demonstrations of the platform
• Lead discovery to understand prospect’s ML stack to collaborate with the Sales team to construct a compelling value proposition of the Platform
• Handle technical objections and develop strategies across sales, engineering, and product to unblock them

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Act as a Domain Expert within AI/ML:

• Write educational and compelling blog posts about ML and MLOps related topics
• Collaborate to create and enhance documentation, recorded video assets and other publically available as well as internal enablement materials
• Engage in relevant ML communities online to raise awareness on challenges of deploying ML in production

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What We’re Looking For - 

Strong Communication Skills: 

• You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly.
• Ability to simplify complex, technical concepts

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A quick and self learner: 

• You are undaunted by the technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.
• You ask the right questions with the customer to uncover nuances in their unique deployments.
• Ability to work within ambiguity and take action with limited direction

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Knowledgeable in Machine Learning:

• You may not have a PhD in ML but you know the difference between Linear Regression and Boosted Trees and the advantages / disadvantages of each.
• You have some experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc.

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5+ years within customer facing role:

• Pre-sales, technical account management, or consulting experience
• Worked with customers within the high enterprise (e.g. Fortune 500, etc)

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Proficiency in:

• Python
• Linux/Unix

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Bonus Points, But Not Required

• Previous experience working across and aligning Sales, Product, and Engineering
• Previous experience within a team that underwent a high growth stage
• Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure