MongoDB
Senior Solutions Architects (Atlas Stream Processing)
MongoDB, Atlanta, Georgia, United States, 30383
Senior Solutions Architect (Atlas Stream Processing)
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Atlas is the globally distributed, multi-cloud database from MongoDB, available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises or across cloud providers. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded in strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects guide customers to design and build reliable, scalable systems using our data platform. Our team is made up of senior 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 will work closely with our sales executives to help customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You will be a trusted advisor to a wide range of users from startups to the world’s largest enterprise IT organizations. As MongoDB expands product offerings and features within the Atlas Data Platform, MongoDB is seeking an expert in data streaming. This role will focus on being a product specialist of Atlas Stream Processing (ASP) within the presales organization. Beyond the normal tasks of a MongoDB Solutions Architect, this specialist role will operate in a worldwide team, assist in the most complex deal cycles, aid enablement, and work closely with the product team to close the feedback loop and further enhance the product moving forward. Atlas Stream Processing (ASP) is a MongoDB-native way to process streaming data, transforming how developers build modern applications. With ASP, developers use the MongoDB aggregation framework to process streaming data from platforms such as Apache Kafka. This enables real-time processing (e.g., aggregate, filter, route, alert, and emit) and materialize results into Atlas or back into the streaming platform. ASP makes stream processing a native capability of Atlas, allowing developers to unify all data needed to power applications. ASP is ideal for industries with large, diverse real-time data processing requirements, such as network security, fintech, IoT, manufacturing, oil and gas, and aerospace. Ideal use cases include fraud/anomaly detection, systems monitoring, algorithmic trading, predictive maintenance, device telemetry, click-stream analysis, real-time recommendation engines, and more. Use cases typically involve building applications that react to data in near real time using MQL and the document model. This role will be based remotely in North America, with a preference for one of MongoDB’s hub offices on the East Coast. The Specialist will be a key member of the Go To Market team, writing memos to the executive team to shape market approach and product strategy. They will work closely with a dedicated ASP seller focused on migration plays, land and expand, and large mission-critical workloads. As an ideal candidate, you will have Ideally 3 - 8 years of related experience in a customer-facing role, minimum 3 years of experience in pre-sales with enterprise software 3+ years of experience with streaming technologies (Flink, Kafka, Spark for Spark Streaming, or similar) 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 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 clearly to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning MongoDB resources to move toward a mutually beneficial account plan Ability to travel up to 20% A Bachelor’s degree or equivalent work experience You may also have Experience selling databases and/or deploying applications with major cloud providers Experience with Snowflake and Databricks Experience with database programming and data models Experience in data engineering or AI/ML projects Experience transforming legacy systems and platforms into modern, scalable technology stacks Understanding of 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 requires 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 optimization strategies for MongoDB, communicating its business value to stakeholders. Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity qualification, pipeline strategy, technical discovery, demos, proof of value, presentations, sizing, and documentation. Evaluate ASP pain points/needs from multiple data streams and initiate the sales process with account teams for high-fit opportunities. Co-lead the sales process for Stream Processing opportunities with account executives and solutions architects. Demand Generation: Proactively generate demand through technical initiatives and participation in events. Customer Success: Foster strong customer relationships and ensure satisfaction. Innovation and Improvement: Seek opportunities to improve MongoDB solutions and processes, relay field feedback to product, mentor team members, and build sales plays for scaling ASP. Personal Training and Development: Engage in ongoing training to stay abreast of MongoDB product suite and industry trends. Embody MongoDB’s core values in interactions with internal teams and customers. 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, 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: Design complex systems utilizing cloud services on hyperscaler platforms. Complementary Technologies: Knowledge of Apache Kafka and Kubernetes. Modern Architecture Design: Design Patterns and Methodologies: Best practices in microservices, DevOps, cloud, and security. Cutting-edge RAG and AI architectures: Guide customers in their generative AI journeys with leading partners. Sales Techniques and Soft Skills: Effective Communication: Master presentations, demonstrations, and whiteboarding. Client Interaction: Strategies for discovery and objection handling. Industry Insights: Diverse Market Verticals: Exposure to a broad spectrum of use cases across industries. To drive personal growth and business impact, MongoDB supports a supportive and enriching culture, including employee affinity groups, fertility assistance, and parental leave. Learn more about working at MongoDB, and help us make an impact. MongoDB is committed to providing accommodations for individuals with disabilities in our application and interview process. To request an accommodation, inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. All hiring decisions are made without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. REQ ID: 326324147 Salary information: MongoDB’s base salary range for this role in the U.S. is $104,000—$204,000 USD. Other benefits may include equity, 401(k), parental leave, and other programs.
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MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Atlas is the globally distributed, multi-cloud database from MongoDB, available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises or across cloud providers. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded in strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects guide customers to design and build reliable, scalable systems using our data platform. Our team is made up of senior 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 will work closely with our sales executives to help customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You will be a trusted advisor to a wide range of users from startups to the world’s largest enterprise IT organizations. As MongoDB expands product offerings and features within the Atlas Data Platform, MongoDB is seeking an expert in data streaming. This role will focus on being a product specialist of Atlas Stream Processing (ASP) within the presales organization. Beyond the normal tasks of a MongoDB Solutions Architect, this specialist role will operate in a worldwide team, assist in the most complex deal cycles, aid enablement, and work closely with the product team to close the feedback loop and further enhance the product moving forward. Atlas Stream Processing (ASP) is a MongoDB-native way to process streaming data, transforming how developers build modern applications. With ASP, developers use the MongoDB aggregation framework to process streaming data from platforms such as Apache Kafka. This enables real-time processing (e.g., aggregate, filter, route, alert, and emit) and materialize results into Atlas or back into the streaming platform. ASP makes stream processing a native capability of Atlas, allowing developers to unify all data needed to power applications. ASP is ideal for industries with large, diverse real-time data processing requirements, such as network security, fintech, IoT, manufacturing, oil and gas, and aerospace. Ideal use cases include fraud/anomaly detection, systems monitoring, algorithmic trading, predictive maintenance, device telemetry, click-stream analysis, real-time recommendation engines, and more. Use cases typically involve building applications that react to data in near real time using MQL and the document model. This role will be based remotely in North America, with a preference for one of MongoDB’s hub offices on the East Coast. The Specialist will be a key member of the Go To Market team, writing memos to the executive team to shape market approach and product strategy. They will work closely with a dedicated ASP seller focused on migration plays, land and expand, and large mission-critical workloads. As an ideal candidate, you will have Ideally 3 - 8 years of related experience in a customer-facing role, minimum 3 years of experience in pre-sales with enterprise software 3+ years of experience with streaming technologies (Flink, Kafka, Spark for Spark Streaming, or similar) 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 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 clearly to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning MongoDB resources to move toward a mutually beneficial account plan Ability to travel up to 20% A Bachelor’s degree or equivalent work experience You may also have Experience selling databases and/or deploying applications with major cloud providers Experience with Snowflake and Databricks Experience with database programming and data models Experience in data engineering or AI/ML projects Experience transforming legacy systems and platforms into modern, scalable technology stacks Understanding of 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 requires 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 optimization strategies for MongoDB, communicating its business value to stakeholders. Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity qualification, pipeline strategy, technical discovery, demos, proof of value, presentations, sizing, and documentation. Evaluate ASP pain points/needs from multiple data streams and initiate the sales process with account teams for high-fit opportunities. Co-lead the sales process for Stream Processing opportunities with account executives and solutions architects. Demand Generation: Proactively generate demand through technical initiatives and participation in events. Customer Success: Foster strong customer relationships and ensure satisfaction. Innovation and Improvement: Seek opportunities to improve MongoDB solutions and processes, relay field feedback to product, mentor team members, and build sales plays for scaling ASP. Personal Training and Development: Engage in ongoing training to stay abreast of MongoDB product suite and industry trends. Embody MongoDB’s core values in interactions with internal teams and customers. 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, 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: Design complex systems utilizing cloud services on hyperscaler platforms. Complementary Technologies: Knowledge of Apache Kafka and Kubernetes. Modern Architecture Design: Design Patterns and Methodologies: Best practices in microservices, DevOps, cloud, and security. Cutting-edge RAG and AI architectures: Guide customers in their generative AI journeys with leading partners. Sales Techniques and Soft Skills: Effective Communication: Master presentations, demonstrations, and whiteboarding. Client Interaction: Strategies for discovery and objection handling. Industry Insights: Diverse Market Verticals: Exposure to a broad spectrum of use cases across industries. To drive personal growth and business impact, MongoDB supports a supportive and enriching culture, including employee affinity groups, fertility assistance, and parental leave. Learn more about working at MongoDB, and help us make an impact. MongoDB is committed to providing accommodations for individuals with disabilities in our application and interview process. To request an accommodation, inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. All hiring decisions are made without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. REQ ID: 326324147 Salary information: MongoDB’s base salary range for this role in the U.S. is $104,000—$204,000 USD. Other benefits may include equity, 401(k), parental leave, and other programs.
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