Senior Solutions Architect (Pre-Sales)

Mongodb · Los Angeles; San Diegosenior

In short

▸Arquitecto de soluciones técnico en pre-ventas para clientes enterprise.
▸Diseñas arquitecturas escalables con MongoDB, asesoras a clientes y partes interesadas técnicas y ejecutivas.
▸Candidato ideal con 8-11 años en roles técnicos frente al cliente y 5-7 años en pre-ventas enterprise.

Excellent presentation, communication, and interpersonal skills

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What they ask for

✓8 a 11 años de experiencia en roles con cliente, 5 a 7 años en pre-ventas de software enterprise.
✓3+ años con lenguajes modernos (Python, Node.js, SQL, Java, C#, etc.).
✓Experiencia en sistemas distribuidos escalables en cloud y on-prem.
✓Capacidad para guiar a clientes en mejoras arquitectónicas complejas.
✓Habilidades excepcionales de comunicación y presentación a líderes técnicos y ejecutivos.
✓Capacidad para viajar hasta un 25% y trabajar en modalidad híbrida en San Diego o Los Ángeles.

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MongoDBPythonNode.jsSQLC/C++JavaC#Cloud providers (AWS, Azure, GMEDDPICCCommand of the Message

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We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in San Diego or Los Angeles for our hybrid working model. As an ideal candidate, you will have • Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software • Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity • Experience designing with scalable and highly available distributed systems in the cloud and on-prem • Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology • Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership • Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan • The ability to travel up to 25% • A Bachelor’s degree or equivalent work experience You may also have • Experience selling databases and/or deploying applications with any of the major cloud providers • Experience with database programming and data models • Experience in data engineering or AI/ML projects • Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message • A MongoDB Certification • A Cloud Provider Certification What you do at MongoDB In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will: • Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB • Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders • Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation) • Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events • Customer Success: Foster strong customer

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