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ื”ืžืงื•ื ื‘ื• ื”ืžื•ืžื—ื™ื ื•ื”ื—ื‘ืจื•ืช ื”ื˜ื•ื‘ื•ืช ื‘ื™ื•ืชืจ ื ืคื’ืฉื™ื

ื“ืจื•ืฉื™ื Senior Software Engineer Atlas Data Federation ื‘-Mongodb

ื”ืฆื˜ืจืคื• ืœืฆื•ื•ืช ื‘-Mongodb ื‘ืชื•ืจ Senior Software Engineer Atlas Data Federation ืขื Expoint. ืžืฆืื• ื”ื–ื“ืžื ื•ื™ื•ืช ืขื‘ื•ื“ื” ื‘ืชืขืฉื™ื™ืช ื”ื”ื™ื™ื˜ืง ื•ื”ืชื—ื‘ืจื• ืœื—ื‘ืจื•ืช ืžื•ื‘ื™ืœื•ืช. ื—ืคืฉื• ืืช ืžืฉืจืช ื”ื—ืœื•ืžื•ืช ืฉืœื›ื ื‘ื›ืœ ืžืงื•ื ื‘ืขื•ืœื ื•ื”ืงื“ืžื• ืืช ื”ืงืจื™ื™ืจื” ืฉืœื›ื ืขื Expoint.
ื—ื‘ืจื” (1)
ืื•ืคื™ ื”ืžืฉืจื”
ืงื˜ื’ื•ืจื™ื•ืช ืชืคืงื™ื“
ืฉื ืชืคืงื™ื“ (1)
Israel
ืขื™ืจ
ื ืžืฆืื• 1 ืžืฉืจื•ืช
21.11.2025
MDB

MongoDB Senior Customer Success Manager Israel, Tel Aviv District, Tel Aviv-Yafo

Limitless High-tech career opportunities - Expoint
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...
ืชื™ืื•ืจ:
As an ideal candidate, you will 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
  • 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 strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
  • A Bachelorโ€™s degree or equivalent work experience
You may also have:
  • 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
  • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
  • A MongoDB Certification
  • A Cloud Provider Certification

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 optimization 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 journeys 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
Show more
Limitless High-tech career opportunities - Expoint
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...
ืชื™ืื•ืจ:
As an ideal candidate, you will 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
  • 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 strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
  • A Bachelorโ€™s degree or equivalent work experience
You may also have:
  • 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
  • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
  • A MongoDB Certification
  • A Cloud Provider Certification

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 optimization 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 journeys 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
Show more
ื’ืœื• ืืช ืงืจื™ื™ืจืช ื”ื—ืœื•ืžื•ืช ืฉืœื›ื ื‘ืชืขืฉื™ื™ืช ื”ื”ื™ื™-ื˜ืง ืขื Expoint. ื”ืคืœื˜ืคื•ืจืžื” ืฉืœื ื• ืžืฆื™ืขื” ืžื’ื•ื•ืŸ ืจื—ื‘ ืฉืœ ืžืฉืจื•ืช Senior Software Engineer Atlas Data Federation, ื•ืžืขื ื™ืงื” ืœื›ื ื’ื™ืฉื” ืœื—ื‘ืจื•ืช ื”ื˜ื•ื‘ื•ืช ื‘ื™ื•ืชืจ ื‘ืชื—ื•ื, ื›ืžื• Mongodb. ืขื ืžื ื•ืข ื”ื—ื™ืคื•ืฉ ื”ืงืœ ืœืฉื™ืžื•ืฉ ืฉืœื ื•, ืชื•ื›ืœื• ืœืžืฆื•ื ื‘ืžื”ื™ืจื•ืช ืืช ื”ืขื‘ื•ื“ื” ื”ืžืชืื™ืžื” ืœื›ื ื•ืœื”ืชื—ื‘ืจ ืœื—ื‘ืจื•ืช ืžื•ื‘ื™ืœื•ืช. ืœื ืขื•ื“ ื’ืœื™ืœื” ืื™ื ืกื•ืคื™ืช ื‘ื™ืŸ ืื™ื ืกืคื•ืจ ืœื•ื—ื•ืช ื“ืจื•ืฉื™ื, ืขื Expoint ืชื•ื›ืœ ืœื”ืชืžืงื“ ื‘ืžืฆื™ืืช ื”ื”ืชืืžื” ื”ืื™ื“ื™ืืœื™ืช ื•ื”ืžื“ื•ื™ืงืช ืขื‘ื•ืจื›ื. ื”ื™ืจืฉืžื• ืขื•ื“ ื”ื™ื•ื!