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Pre-Sales Solutions Architect
MongoDB — лидер рынка с отличной репутацией. Позиция предлагает глубокое обучение стеку технологий (Atlas, Vector Search), работу с крупными клиентами и возможность удаленной работы, что делает её крайне привлекательной для опытных архитекторов.
Сложность вакансии
Роль требует сочетания глубоких технических знаний (программирование, архитектура БД, облака) и развитых навыков продаж (MEDDPICC). Высокая планка ответственности за успех клиента и необходимость работы с распределенными системами делают позицию сложной, но интересной.
Анализ зарплаты
Указанная роль в Мехико для опытного архитектора решений (5-8 лет опыта) обычно оплачивается выше среднего по рынку ИТ в регионе, учитывая статус глобальной технологической компании. Ожидаемый доход включает базовый оклад и значительную бонусную часть за достижение планов продаж.
Сопроводительное письмо
I am writing to express my strong interest in the Pre-Sales Solutions Architect position at MongoDB. With over 6 years of experience in software development and technical consulting, I have developed a deep understanding of distributed systems and cloud-native architectures. My background in designing scalable applications using Python and Java, combined with a passion for customer-facing roles, aligns perfectly with the requirements of the Scaled Growth organization.
Throughout my career, I have successfully bridged the gap between complex technical requirements and business value, a skill I look forward to bringing to the MongoDB team. I am particularly excited about the opportunity to work with the MongoDB Atlas ecosystem and help customers navigate their generative AI journeys. My experience with cloud platforms and my ability to conduct technical discoveries and proof-of-value sessions will allow me to contribute immediately to your sales objectives in the Americas region.
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Откликнитесь в mongodb уже сейчас
Присоединяйтесь к команде MongoDB и станьте ключевым экспертом, помогающим крупнейшим компаниям Америки внедрять инновационные облачные решения!
Описание вакансии
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 in the Scaled Growth organization 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 and Field Solutions Architecture team 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 enterprise organizations across the Americas.
This role can be based remotely in São Paulo or Mexico City.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 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 implementing 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 work with a cross functional sales team to formulate and execute an end to end deal cycle
- A Bachelor’s degree or equivalent work experience
- Requires professional proficiency in both written and verbal English communication
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- 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 relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 426174
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Навыки
- MongoDB
- Python
- Node.js
- SQL
- Java
- C++
- Cloud Computing
- Distributed Systems
- MongoDB Atlas
- Apache Kafka
- Kubernetes
- Microservices
- DevOps
- Generative AI
- MEDDPICC
Возможные вопросы на собеседовании
Проверка понимания преимуществ продукта перед конкурентами.
В каких сценариях вы бы рекомендовали MongoDB вместо традиционной реляционной базы данных, и как бы вы обосновали это бизнес-стейкхолдерам?
Оценка опыта работы с облачными провайдерами и масштабируемостью.
Опишите ваш опыт проектирования высокодоступной системы в облаке (AWS/Azure/GCP). С какими основными трудностями вы столкнулись?
Проверка навыков проведения Proof of Value (PoV).
Как вы подходите к планированию и проведению технического демо или пилотного проекта, чтобы гарантированно подтвердить ценность решения для клиента?
Оценка умения работать с возражениями.
Как вы будете действовать, если техническая команда клиента настроена скептически по отношению к миграции на MongoDB Atlas?
Проверка знаний в области современных трендов (AI/ML).
Как, по вашему мнению, векторный поиск в MongoDB может помочь компаниям в реализации их стратегий в области генеративного ИИ?
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