Forward Deployed Engineer

Contextual AI • Mountain View, CA

14d

About The Position

About Contextual AI We're revolutionizing how AI Agents work by solving AI's most critical challenge: context. The right context at the right time unlocks the accuracy and production scale that enterprises leveraging AI require. Our enterprise AI development platform sits at the intersection of breakthrough AI research and practical developer needs. Our end-to-end platform allows AI developers to easily and accurately ingest and query documents from enterprise data sources and easily embed retrieval results into their business workflows. Contextual AI was founded by the pioneers of Retrieval-Augmented Generation (RAG), the foundational technique behind the context layer, connecting foundation models to current and relevant information. Backed by the industry's most forward-thinking venture capitalists, we're not just participating in the enterprise AI revolution, we're defining it. Join us in building a future where AI doesn't just answer questions, it transforms businesses. Job Overview Contextual AI is hiring a Forward Deployed Engineer to be part of the GTM team. This team is responsible for selling into Global 2000 organizations deploying generative AI solutions in production. As a Forward Deployed Engineer, you’ll be a trusted technical advisor and subject matter expert for our prospects and customers, understanding requirements, designing demos, and driving business value. You’ll accomplish this by working closely with customers to identify use cases, scope out needs, design pipelines, and help drive the adoption of Contextual AI’s technology. You will be a subject matter expert on AI industry trends and best practices. You will work directly with customers to align Contextual AI’s products to their top use cases. You must be ready for technical discussions with engineers, and demonstrate the value of Contextual AI in business discussions with directors and executives. You will help distill feedback from customers and help improve Contextual AI’s products while working with the product and engineering team.

Requirements

• Bachelor's degree in computer science, engineering, or a related field (Master's or Ph.D. preferred).
• Experience working in enterprise SaaS, AI/ML, infrastructure, or similar industries in a technical capacity with end-customer engagement
• Proficiency in data infrastructure and modern machine learning tools (e.g. PyTorch, TensorFlow, transformers).
• Proficiency with coding languages Python, Typescript or similar languages at a production level.
• Demonstrated experience providing technical guidance and support in customer calls & interactions, addressing product usage needs, and resolving issues
• Strong communication and presentation skills.
• Ability to demonstrate professional polish and a high level of technical credibility when speaking with both executives and engineers
• Self-starter and ability to operate independently and at high-velocity
• Clear customer empathy and intellectual curiosity

Responsibilities

• You will own the technical aspects of the sales cycle, driving the technology evaluation processes to highlight Contextual AI’s differentiation, clarify the business value to the customer, and ensure our customers’ success with our products
• You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders.
• Scope customer trials and projects.
• Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible.
• Create and deliver specialized technical demos according to the customers.
• Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team.
• Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees