Senior Sales Engineer - Financial Services

March 29

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Domino Data Lab

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Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.

Analytics • Machine Learning • Data Analysis • Predictive Analytics • Data Science

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

📋 Description

• At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. • Our Sales Engineering team is at the heart of transforming curiosity into confidence. • We help prospects envision the full potential of our platform, guiding them from discovery to realization. • Working closely with Enterprise Account Executives, our Sales Engineers craft compelling product demonstrations. • As a growing company, our Sales Engineers play a pivotal role beyond just sales.

🎯 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 Financial Services industry. • Background in Data Science, with a strong understanding of Financial Services 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.

🏖️ Benefits

• Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses. • 401(k) plan. • Medical, dental, and vision benefits. • Wellness stipends.