← All jobs · MongoDB

Consulting Engineer

MongoDB ·
28
AI-Agency
B25 U35
📍 Tel Aviv, IL 🌐 Remote/hybrid Mid 2+ yrs
MongoDBJavaC++C#PythonNode.jsPostgreSQLOracle
TL;DR

Consulting Engineer at MongoDB providing technical advisory and implementation services to enterprise customers. Responsibilities include customer implementations across the application lifecycle, training delivery, and influencing product roadmap based on field experience.

Apply at MongoDB →
share:
you'll be redirected to the company's career page

Job description

MongoDB is expanding our global team of consulting engineers to further our ongoing plans for worldwide growth!

MongoDB Professional Services works with customers of all shapes and sizes in all verticals, from tier-1 banks to small web startups, on a variety of interesting use cases from e-commerce platforms to trading systems to social media applications. Solve interesting problems, gain incredible cross-stack experience, work with the best and brightest people in the business, network with industry leaders, and see new places - all in a day’s work!

MongoDB consulting exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Our consulting solutions ensure that organizations get the best out of MongoDB.

Be one of the recognized experts in this rapidly growing field in a high-growth software company successfully challenging the status quo of the database industry. You will have abundant opportunities to meaningfully impact the growth of our business in your region.

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.

Candidate Profile

We’re looking for a highly technical individual, with strong problem-solving and communication skills, and comfortable working closely with customers.

Our ideal candidate will have

Position Expectations

As a core member of the MongoDB Professional Services team, you will

Success Measures

As a Consulting Engineer you will be successful in this role when you can execute the following

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: 426204

Apply at MongoDB →

More open roles at MongoDB

MongoDB 🔷 AI-first · 🔄 synced 7h ago
Staff Research Scientist
📍 Palo Alto, US 🌐 Remote 💰 $151K–$297K · Staff
Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for RAG and semantic search. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.
PyTorchTensorFlowJAXembedding modelsrerankersLLMs
83
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 US 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehouses
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of AI Platform, GM
📍 US 🌐 Remote 🛠 AI tools welcome at work · Executive
Head of AI Platform and General Manager at MongoDB leading the development and scaling of a new AI Applications Platform. Owns product vision, P&L, and R&D organization (Engineering, Product, Design) for an enterprise-grade platform serving thousands of customers building production AI applications.
MongoDB AtlasAWSGoogle CloudMicrosoft Azurevector databasesembeddings
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 British Columbia, CA 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehousesorchestration agents
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of Post Sales Technology
📍 Palo Alto, US 🌐 Remote 🛠 AI tools welcome at work · Director
Head of Post Sales Technology at MongoDB leading AI-first transformation of customer support. Responsible for designing conversational AI platforms, predictive analytics, intelligent automation, and change leadership across support operations.
RAGconversational AImachine learningenterprise data platformsworkflow automation
77
AI-core