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Presales Engineer MX

On-site work

Publication date: 11/11/2026

As a Presales Engineer, you will be the strategic bridge between technology, design, and sales. Your main objective will be to deeply understand the business challenges of corporate clients and design conversational architectures that are technically and commercially viable. You will work side-by-side with Business Designers to find a balance between the ideal user journey and the most efficient architecture that can be built within Blip's product ecosystem. Blip is a conversational AI platform that allows businesses to connect with customers at scale across multiple communication channels, such as WhatsApp, Instagram, Facebook, or Google.

Responsibilities

Technical and Commercial Consulting: Act as the Subject Matter Expert (SME) for the Blip platform in front of potential clients, leading high-level technical discussions to propose efficient solutions; Architecture Design: Generate functional diagrams and design the technical architecture for client requirements, ensuring feasibility of integration with internal systems; Demos that Wow: Create Proof of Concepts (PoCs) and execute high-impact product demonstrations that close the gap between initial concept and final sale; Sales Acceleration: Collaborate strategically with the Sales and Customer Success (CS) teams to unlock business opportunities based on industry trends and technical knowledge; Problem Solving: Evaluate the feasibility of proposed conversational solutions and act as the main analytical troubleshooter during the presales phase

Requirements

Proven experience in Presales, Sales Engineering, Technical Consulting, or Solutions Architecture roles, ideally in SaaS or tech companies; Proficiency in building and consuming REST APIs (SOAP, Web Services); Basic programming knowledge in JavaScript, C#, or .NET Core to understand code and propose solutions; Strong understanding of software patterns and components, system architectures, and data structures; Exceptional ability to translate complex technical concepts to engineering teams and business/commercial audiences (C-Level, Marketing); Advanced English proficiency to interact with global teams; Autonomy, self-management, resilience, and a holistic, human-centered vision

Nice to have

AI Experience: Ability to articulate Artificial Intelligence concepts (LLMs, NLP) applicable to business and demonstrate them in conversational flows; Design Knowledge: Basics of Product Design, Service Design, or UX/UI; Portfolio of previously developed projects, architectures, or chatbot flows
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