Sales Engineer, Applied AI

This role places you at the forefront of the Generative AI revolution, empowering you to build transformative solutions for the world’s largest enterprises.

• →Strategic Solutioning: Partner with Account Executives to uncover high-value customer pains. You will translate these into business requirements then into concrete AI automation designs using our platform.
• →Build to Win: Design and configure compelling Proofs of Concept (POCs). You will leverage our drag-and-drop workflow builders and  our collaboration AI toolsets to show customers their own data being processed in real-time.
• →Applied AI Advisory: Act as a trusted advisor on “The Art of the Possible.” You will educate customers on prompt engineering best practices, agentic workflows, and how to govern AI safely, without needing to discuss low-level model weights.
• →Champion the User Experience: Because you are pushing the boundaries of our no-code tools, you will be the primary feedback loop to Product Management, helping us refine the user interface and agent capabilities.

• Hybrid DNA: You have the technical chops of a software engineer and the communication skills of a consultant. You are as comfortable in a Jupyter Notebook as you are in a boardroom.
• Applied AI Fluency: 3+ years of experience building or deploying AI/ML solutions. You understand the functional application of LLMs. You know how to prompt a model to get the best result (Prompt Engineering) and understand the practicalities of Generative AI, LLMs (GPT, Gemini, Anthropic), and RAG (Retrieval-Augmented Generation).
• Technical Storytelling: Proven track record in a customer-facing role (Solutions Consultant, Sales Engineer, or Business Analyst). You excel at simplifying complex AI concepts for non-technical stakeholders.
• Data Literacy: You are comfortable working with unstructured data (documents, emails, chats) and understand the nuance of extracting structured value from it.
• Sales Engineering Excellence: Proven track record in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Forward Deployed Engineering). You know how to map technical features to business value.
• Problem Solving: You love unstructured problems. You can look at a messy dataset (invoices, medical records, financial statements) and instantly visualize the AI pipeline needed to structure it.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.