Machine Learning
Pre-Sales, Solutions Engineer
Posted on 3/24/2024
Snorkel AI

51-200 employees

Snorkel provides data-driven AI solutions.
Company Overview
Snorkel AI is leading the shift from model-centric to data-centric AI development with its unique programmatic approach. The company is building an AI-powered data platform.
Data & Analytics
AI & Machine Learning
B2B

Company Stage

Series C

Total Funding

$150.3M

Founded

2019

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

16%

1 year growth

18%

2 year growth

4%
Locations
San Carlos, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Tensorflow
Pytorch
CategoriesNew
AI & Machine Learning
Applied Machine Learning
AI Research
Requirements
  • 2+ years of experience in customer facing technical roles
  • Experience executing a value centric sales motion using MEDDPIC, Command of the Message or other value centric sales methodologies and qualification frameworks
  • Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers)
  • Knowledge of industry standard technologies in the Data Science and Machine Learning space
  • Fluency with scripting in Python
  • Hands-on experience building and implementing machine learning or AI models
  • Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Ability to connect a customer's specific business problems to Snorkel’s differentiated platform and unique approach to ML development
  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
Responsibilities
  • Designing and leading a tailored and business value-aligned technology evaluation process
  • Building demos and presentations for customers and field experts
  • Acting as the primary customer-facing technical resource during customer / partner meetings and technology evaluations
  • Serving as a trusted advisor on AI to help customers with their end-to-end vision
  • Partnering with sales leadership to achieve quota targets
  • Providing guidance to revenue leaders on sales strategy, product obstacles/gaps and representing the team's needs to executive staff
  • Interpreting complex problems, creating simple solutions, and collaborating closely with prospects, channel partners, and the sales team
  • Collaborating and maintaining a close working relationship with co-founders, product, engineering, sales, and marketing
  • Systematizing and playbook pre-sales activities, such as demo and POC assets