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Pre-Sales Solutions Architect
MongoDB — лидер рынка с отличной репутацией и передовым стеком технологий (AI, Cloud). Позиция предлагает отличные возможности для обучения, удаленный формат работы и участие в ключевых сделках региона.
Сложность вакансии
Роль требует сочетания глубоких технических знаний (программирование, архитектура БД, облака) и развитых навыков продаж (методология MEDDPICC). Высокая планка ответственности за успех клиента и необходимость проведения сложных демо делают позицию сложной, но интересной.
Анализ зарплаты
Указанная роль в MongoDB обычно предполагает конкурентную оплату, состоящую из базового оклада и значительной бонусной части (OTE). Оценочные рыночные значения для опытных Solutions Architects в Сан-Паулу находятся в диапазоне 240,000 - 360,000 BRL в год.
Сопроводительное письмо
I am writing to express my strong interest in the Pre-Sales Solutions Architect position at MongoDB. With over six years of experience in software engineering and a proven track record of designing scalable distributed systems, I have developed a deep appreciation for how the right data architecture can transform a business. Having worked extensively with modern programming languages like Python and Java, as well as cloud-native environments, I am eager to apply my technical expertise to help MongoDB’s customers in the Americas region optimize their data strategies.
In my previous roles, I have found great satisfaction in bridging the gap between complex technical requirements and strategic business outcomes. I am particularly drawn to MongoDB’s commitment to innovation in the AI era and the opportunity to work with Atlas and Vector Search. My experience in technical discovery and architectural reviews aligns perfectly with your Scaled Growth organization's mission. I am confident that my ability to articulate the value of MongoDB’s unified database platform, combined with my passion for customer success, will allow me to drive significant impact within your sales ecosystem.
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Откликнитесь в mongodb уже сейчас
Присоединяйтесь к команде MongoDB и станьте ключевым экспертом, помогающим крупнейшим компаниям Латинской Америки строить будущее на базе передовых облачных технологий!
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
- Python
- Node.js
- SQL
- Java
- C++
- MongoDB
- MongoDB Atlas
- Cloud Computing
- Distributed Systems
- Microservices
- DevOps
- Kafka
- Kubernetes
- AI/ML
- Vector Search
Возможные вопросы на собеседовании
Проверка понимания преимуществ MongoDB перед традиционными SQL-решениями в контексте бизнеса.
Как бы вы объяснили техническому директору (CTO) компании, использующей legacy SQL-базу, бизнес-ценность перехода на MongoDB Atlas?
Оценка навыков архитектурного проектирования и работы с облачными провайдерами.
Опишите ваш опыт проектирования высокодоступной и масштабируемой системы в облаке (AWS/Azure/GCP). С какими основными трудностями вы столкнулись?
Проверка умения работать с возражениями и техническими сомнениями клиентов.
Расскажите о случае, когда клиент был настроен скептически по отношению к предлагаемому вами техническому решению. Как вы изменили его мнение?
Оценка понимания современных трендов в области ИИ и их связи с базами данных.
Как MongoDB может помочь компаниям, которые внедряют генеративный ИИ и архитектуру RAG (Retrieval-Augmented Generation)?
Проверка навыков приоритизации и работы в связке с отделом продаж.
Как вы подходите к процессу технического дискавери (discovery) при работе над крупной сделкой вместе с менеджером по продажам?
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