Job Description

🌟 Role Overview

This position sits at the intersection of:

• Data Science
• Cloud & Infrastructure
• Customer Consulting / Pre-Sales
• Solution Architecture

You’ll act as the technical expert during the sales process, helping customers understand how the company’s platform solves their data science challenges — from experimentation to production deployment.

This is not a pure coding job — it’s a technical + business hybrid role.

🎯 Key Responsibilities

🧑‍💼 Customer-Facing Work

• Act as a trusted advisor for prospects
• Recommend architectures and solutions
• Lead Proof-of-Concept (POC) projects end-to-end
• Present technical comparisons vs competitors

⚙️ Technical Ownership

• Design ML/data pipelines using client infrastructure
• Demonstrate integrations with customer systems
• Deep dive into architecture and deployment models

🤝 Internal Collaboration

• Support sales executives
• Work with product and R&D teams
• Provide feedback from customers to engineering

📢 Evangelism

• Promote the product at demos, workshops, events
• Communicate business value of technical features

🧠 Required Technical Skills

Programming

• Python (strong requirement)
• SQL
• Scripting (Node.js, Go, JavaScript, shell)

Infrastructure & DevOps

• Linux systems
• Virtualization
• Containers: Docker
• Orchestration: Kubernetes

Cloud Platforms

• Amazon Web Services
• Microsoft Azure
• Google Cloud Platform

Big Data Ecosystem

• Databases and distributed systems
• Apache Spark
• Apache Hadoop
• NoSQL tools (MongoDB, Cassandra, Redis, Elastic)

Machine Learning Stack

• Pandas
• TensorFlow / PyTorch
• Scikit-learn
• ML pipeline design

⭐ Ideal Candidate Profile

You’ll succeed if you are:

✅ A data scientist or ML engineer who enjoys talking to people
✅ Comfortable explaining complex systems to business audiences
✅ Interested in architecture and cloud systems
✅ Strong communicator and fast learner
✅ Comfortable with ambiguity and client environments

People from these backgrounds fit well:

• Data Scientist → Solutions Engineer
• ML Engineer → Pre-Sales Engineer
• Cloud Engineer with ML exposure
• Analytics Consultant with coding skills

💰 Career Advantages

This type of role often offers:

• Higher compensation than pure data science
• Commission or bonus components
• Faster leadership growth
• Exposure to many industries
• Strong transition path to:
  • Solutions Architect
  • Product Management
  • Technical Sales Leadership
  • AI Strategy Consulting

📍 Location

Preferred: Texas (TX) or Minnesota (MN) — home office based.

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🔥 Who Should Apply

Apply if you:

• Like both technology AND business conversations
• Don’t want to sit coding alone all day
• Enjoy presenting solutions and influencing decisions
• Want exposure to cutting-edge ML platforms