Main 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. 

Preferred Qualifications

• 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

#LI-JD1