Full-Time

Machine Learning

Pre-Sales, Solutions Engineer

Confirmed live in the last 24 hours

Snorkel AI

Snorkel AI

201-500 employees

AI development with programmatic solutions

Data & Analytics
AI & Machine Learning

Junior, Mid

San Carlos, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Sales Engineering
Sales & Solution Engineering
Required Skills
Python
Data Science
Tensorflow
Pytorch
Requirements
  • 2+ years of experience in customer facing technical roles (can include sales at a B2B software company or DS/ML consulting)
  • 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
  • Machine Learning Solution Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process
  • Serve as our first line expert educators on the Snorkel Flow Platform, building demos and presentations for customers and field experts
  • Act as the primary customer-facing technical resource during customer / partner meetings and technology evaluations, working at all levels in the organization with Data Scientists, AI/ML practitioners, Architects, Technologists, Product owners, Transformation leaders, LOB & C-level executives
  • Serve as a trusted advisor on AI to help customers with their end-to-end vision; AI strategy, operating model & architectural best practices, problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.
  • Partner with sales leadership to achieve quota targets while also ensuring our customers are well positioned for a successful hand-off to our post-sales and customer success teams.
  • Provide guidance to revenue leaders on sales strategy, product obstacles/gaps and represent the team's needs to executive staff
  • Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions that help customers to accelerate critical business outcomes with AI.
  • Collaborate and maintain a close working relationship with our co-founders, product, engineering, sales, and marketing
  • Systematize and playbook pre-sales activities, such as demo and POC assets.

Snorkel AI focuses on improving the development of artificial intelligence by transforming manual processes into programmatic solutions. This allows businesses to create AI systems that are specifically designed for their unique needs much more quickly. Their technology is used by a variety of clients, including major US banks, government agencies, and Fortune 500 companies. Snorkel AI's approach is distinct because it emphasizes the use of proprietary data and knowledge to speed up the deployment of AI, setting it apart from other companies in the enterprise AI market. The goal of Snorkel AI is to make AI development more efficient and accessible for organizations, helping them leverage AI to enhance their operations.

Company Stage

Series C

Total Funding

$131.3M

Headquarters

Redwood City, California

Founded

2019

Growth & Insights
Headcount

6 month growth

60%

1 year growth

123%

2 year growth

71%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for programmatic data labeling boosts Snorkel AI's market potential.
  • Partnership with Google Cloud enhances Snorkel AI's cloud-based infrastructure reach.
  • Enterprises' shift to in-house AI models aligns with Snorkel AI's specialized solutions.

What critics are saying

  • Open-source AI platforms like Together AI increase competition for Snorkel AI.
  • Copyright lawsuits in the AI industry pose potential legal risks for Snorkel AI.
  • Companies building smaller AI models in-house may reduce demand for Snorkel AI.

What makes Snorkel AI unique

  • Snorkel AI uses programmatic data labeling to accelerate AI model development.
  • The platform transforms proprietary data into AI-ready datasets for specialized models.
  • Snorkel AI's technology originated from Stanford AI Lab, ensuring cutting-edge innovation.

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Benefits

Health - Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.

Environment - We provide an allowance for Snorkelers to set up workstations however they want.

Wellness - Snorkelers are given a yearly wellness stipend to be used on anything relating to health and well-being.