AI Solutions Engineer, Foundry

• Bachelor’s or Master’s degree in Computer Science or related field
• 4+ years of experience in a previous role as a Sales Engineer, Solutions Engineer, Solutions Architect, or Forward Deployed Engineer
• Experience building tools and products for engineers / developers
• Customer-first mentality with excellent written and verbal communication
• Results-driven and an ability to self-direct toward the most impactful work
• Eager to learn and grow alongside a constantly evolving AI landscape

Desirable

• As the first Solutions Engineer, you’ll cover a lot of ground—from technical sales and customer support, to content and product development
• Your knowledge of cloud infrastructure and AI/ML workflows will guide customers and our internal teams to success. Like you, our customers are technical people building on the frontier of AI, and the compute we offer is a vital resource in achieving their mission
• You’ll build successful relationships with customers who will lean on you to envision what’s possible with Foundry. In addition to our customers, we’re a small, multi-disciplinary team ranging from product generalists to AI PhD’s that will be here to support you and vice-versa
• Act as the primary technical contact during pre-sales, offering tailored solutions and guiding customers through deployment
• Build and maintain strong relationships with key decision-makers and technical stakeholders at some of the most forward-looking AI companies
• Partner with Sales to address and resolve any blockers preventing customers from adopting the product
• Collaborate with customers to troubleshoot and resolve technical issues, optimizing solutions for their AI/ML workloads
• Act as a primary contact for customer support, leveraging your deep understanding of the Foundry Cloud Platform and its use cases to quickly address customer requests
• Assist customers with the deployment and scaling of AI/ML workflows on the Foundry Cloud Platform
• Develop technical content such as documentation, demos, and articles to support customers
• Create and maintain internal knowledge bases and training materials for both technical and non-technical audiences
• Lead workshops to educate customers and internal teams on product capabilities and best practices
• Collaborate with marketing and product teams to create technical collateral and enablement materials
• Gather and analyze customer feedback to inform the product roadmap
• Provide technical feedback to product and engineering teams to improve features and resolve issues, diving into the codebase when necessary
• Identify patterns and develop scalable solutions that can be implemented across multiple customers