Sales Engineer, Life Sciences

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Requirements:

• 3-5 years of experience in a customer-facing pre-sales or technical role. Preference for candidates who have worked in/sold to the Life Sciences industry.
• Background in Data Science, with a strong understanding of Life Science industry trends and use cases
• Experience selling enterprise IT software, with a track record of technical pre-sales success
• Exceptional verbal and written communication skills, with the ability to engage both technical and business audiences.
• Strong discovery and pain point identification skills, adept at uncovering customer needs
• Proficiency in coding, preferably with Python
• Experience with common data science libraries, such as PyTorch, TensorFlow, and scikit-learn
• Familiarity with distributed computing frameworks, including Spark, Ray, and Dask.
• Comfortable working in Linux environments, with hands-on experience in system navigation and troubleshooting
• Understanding of Kubernetes, Docker, and containerization, with the ability to articulate their value in enterprise environments

Responsibilities:

• Take technical ownership of opportunities, driving revenue and guiding Enterprise Life Science prospects through the buyer’s journey
• Deliver compelling demos and hands-on technical workshops to showcase the power of our platform
• Define, execute, and manage proof-of-concepts that highlight our value and address customer needs
• Act as a AIML Subject Matter Expert, providing technical guidance and addressing customer challenges with confidence
• Demonstrate strong objection handling skills and answer common customer questions to build trust and credibility
• Contribute to the Sales Engineering team by creating documentation, refining demo assets, and sharing best practices