Snorkel AI
The data-centric AI platform powered by programmatic labeling
enterprise ai • weak supervision • programmatic labeling • artificial intelligence • machine learning
51 - 200
Director, ML Pre-Sales Engineering
July 28
🏢 In-office - Manhattan
Snorkel AI
The data-centric AI platform powered by programmatic labeling
enterprise ai • weak supervision • programmatic labeling • artificial intelligence • machine learning
51 - 200
Description
• Act as a trusted advisor to prospective and existing customers • Lead and build a highly skilled team of Machine Learning Solution Engineers (MLSEs) • Educate clients on a new data centric approach to delivering AI applications • Document detailed PoV execution plans with success criteria • Ensure alignment of clients to the right predictive and generative use cases • Understand the current state end to end ML pipeline, workflow, and process • Create elegant current state & future state design workflows • Build and lead a team of world-class machine learning solution engineers • Teach, train, enable and upskill the team • Support execution of all stages of the sales process • Refresh and redesign entire demo catalog • Act as a player/coach delivering compelling presentations
Requirements
• 7+ years of industry experience in a pre-sales or consulting capacity with 2+ years of direct line management experience (hiring, training, and retaining top talent) • Industry expertise within machine learning, business intelligence, data analytics • Expertise in cloud computing, and/or SaaS • Experience building, and evolving pre-sales playbooks based on Force Management Command of the Message (CoM) Value Selling Framework • Experience training, teaching non customer facing engineers how to execute a pre-sales value selling process using CoM • Fluency with scripting in Python and common ML libraries • Experience with all stages of production ML pipelines, from problem framing and data preparation to model deployment and monitoring (bonus) • Hands-on experience building and implementing machine learning models (bonus) • 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 • Ability to connect a customer's specific business problems and pain points to differentiated product capabilities resulting in clear tangible business benefits or outcomes • University degree in computer science, engineering, applied mathematics, or a related field, or equivalent experience
Benefits
• Comprehensive medical, dental, and vision plans for Snorkelers and their families • Yearly wellness stipend • 401k program • Parental leave program allows new parents up to 20 weeks of paid time off • Workstation setup allowance
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