MongoDB
Senior Solutions Architect (Pre-Sales)
Montreal; Toronto · Senior
Sponsorship not specified$130k-$180kDetected 1 day ago
PythonJavaC++C#Node.jsDistributed SystemsSQLMongoDBAWSGCPKubernetesDevOpsKafkaMachine LearningData EngineeringLLMsRAGSalesCustomer SuccessLeadershipCommunicationPublic Speaking
About the role
- You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
- This role can be based out of our Toronto office or remotely in the Quebec region.
- Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
Responsibilities
- Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Develop strategies for discovery and objection handling
- We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software.
- To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone.
Requirements
- 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
Nice to 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
- 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
- The ability to travel up to 25%
- A Bachelor's degree or equivalent work experience
Skills
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary
- Modern Architecture Design:
- Sales Techniques and Soft
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
- About MongoDB
- It's what makes us MongoDB.
- Learn more about what it's like to work at MongoDB, and help us make an impact on the world!
- To request an accommodation due to a disability, please inform your recruiter.
- MongoDB is an equal opportunities employer.
Compensation
- Salary is one part of MongoDB's total compensation and benefits package.
- Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
- $130,000 - $180,000 CAD
Benefits
- 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.
Company info
- Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Help customers on their generative AI journeys and working with industry leading partners in the space
- MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market.
- With offices worldwide and over 67,000 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.
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.