Our client is at the forefront of machine learning, helping ML teams discover issues, diagnose problems, and improve the results of machine learning models. They are dedicated to building world-class software that enhances the efficiency and effectiveness of AI.
The Team
The engineering team builds systems that interact with some of the most complex software ever deployed in production. Composed of industry veterans with experience in deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech, and more, they are now looking for a Sales Engineer to join the mission and bring this innovative product to every Machine Learning organization.
Role and Responsibilities
As a Sales Engineer, you'll work alongside Account Executives to articulate the value and overall strategy of the platform, differentiating it throughout the sales process and driving POCs from requirements gathering to close. Your activities will be diverse, ranging from assisting with high-level pitches to hands-on development of small proofs of concept.
What You’ll Do
Be the trusted advisor to the customer:
- Build relationships with technical stakeholders
- Lead product demonstrations of the platform
- Lead discovery sessions to understand prospects' ML stack and collaborate with the Sales team to construct a compelling value proposition
- Handle technical objections and develop strategies across sales, engineering, and product teams to unblock them
Act as a Domain Expert within AI/ML:
- Write educational and compelling blog posts about ML and MLOps topics
- Collaborate to create and enhance documentation, recorded video assets, and other enablement materials
- Engage in relevant ML communities online to raise awareness about the challenges of deploying ML in production
What We’re Looking For
Strong Communication Skills:
- Ability to empathize with different perspectives and tailor your message and approach accordingly
- Ability to simplify complex, technical concepts
A Quick and Self-Learner:
- Comfortable with the technical complexity of production ML deployments and eager to learn and develop your own POV
- Skilled at asking the right questions to uncover nuances in customer deployments
- Able to work within ambiguity and take action with limited direction
Knowledgeable in Machine Learning:
- Understanding of the differences between Linear Regression and Boosted Trees and the advantages/disadvantages of each
- Experience training models in common packages such as scikit-learn, HuggingFace, fastai, etc.
Experience:
- 5+ years in a customer-facing role (Pre-sales, technical account management, or consulting)
- Experience working with high enterprise customers (e.g., Fortune 500)
Proficiency In:
Preferred:
- Previous experience working across and aligning Sales, Product, and Engineering
- Experience within a team that underwent a high growth stage
- Engineering experience in Data Engineering, MLOps, Kubernetes, GCP/AWS/Azure
Package:
- $180,000+ / Bonus + Equity + Benefits
If you are interested, please get in touch with James Wiminsky at James.W@petrogate.co. Feel free to share this lucrative opportunity with your network of friends and contacts who may be interested in shaping the future of the software solutions industry.
