Forward Deployed Engineer

Job not on LinkedIn

November 15

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $160k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Contextual AI

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Artificial Intelligence • Enterprise • SaaS

Contextual AI is a company that specializes in providing production-ready enterprise AI solutions using Retrieval-Augmented Generation (RAG) technology. They focus on helping teams across highly regulated and security-conscious industries to deploy highly accurate, auditable AI applications that can process and synthesize vast amounts of complex documents, such as financial reports, technical standards, and legal documents. Their platform is designed to integrate seamlessly into existing systems with a focus on data security, compliance, and enterprise-grade control, making it suitable for industries like financial services, technology & engineering, and professional services. Contextual AI is a trusted partner for Fortune 500 companies, providing robust AI applications that deliver real ROI by understanding the context of business environments.

2 - 10 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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.

🎯 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.