Senior Sales Engineer

About the Company:

Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, audio recognition, and large language models (LLM). We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Canada, Argentina, India, and Estonia.

We have raised $100M in funding to date, with $60M coming from our most recent Series C. We are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.

Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.

Your Impact

You have the opportunity to be a technical leader in the AI space for one of the leaders in AI computer vision.

Responsibilities

• Work together with Account Executives to collaboratively lead customer meetings while sharing technical expertise and knowledge of our solutions.
• Lead and deliver technical product presentations, demonstrations, and evaluations for customers, prospects and internal sales personnel.
• Understand customers’ technical requirements and articulate how our platform can support business value.
• Provide strategic guidance and recommendations to clients and Account Executives throughout the sales process.
• Participate in scalable and repeatable processes for customer technical validation.
• Create innovative, enthralling presentations that help customers understand "why" they need to buy from Clarifai.

Requirements

• 3+ years of experience in customer-facing technical roles as a Sales Engineer, Solution Engineer, Solution Architect or similar role.
• Experience with value-based sales motion using qualification frameworks like MEDDPIC.
• Confident in educating business stakeholders on machine learning principles and connecting to business outcomes.
• Hands-on experience with ML frameworks like PyTorch, TensorFlow, and Langchain.
• Experience with scripting in Python and APIs.
• Experience with generative AI from applying embedding models, prompt engineering, data cleansing, and model evaluation.
• Experience building and delivering demos and running technical validation events (workshops, POCs, POVs).
• Excellent interpersonal skills and relationship building experience.
• University degree in computer science, engineering, or mathematics.