27 days ago

Pre-Sales Solutions Architect

MongoDB

On Site
Full Time
$134,500
New York, NY
Apply

Job Overview

Job TitlePre-Sales Solutions Architect
Job TypeFull Time
Offered Salary$134,500
LocationNew York, NY

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

About the Role

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 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, 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 users from startups to the world's largest enterprise IT organizations.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

What You'll Do

  • 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 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 the MongoDB product suite as well as industry trends.

What You Will Learn

  • MongoDB Product Suite Mastery: Core Database Server, Atlas and Advanced Services (Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, Charts), Relational Migrator.
  • Market-Relevant Technologies: Hyperscaler Ecosystem (AWS, Google Cloud, Microsoft Azure), Complementary Technologies (Apache Kafka, Kubernetes).
  • Modern Architecture Design: Design Patterns and Methodologies (microservices, DevOps, cloud, security), Cutting-Edge RAG and AI Architectures.
  • Sales Techniques and Soft Skills: Effective Communication (presentations, demonstrations, whiteboarding), Client Interaction (discovery, objection handling).
  • Industry Insights: Diverse Market Verticals.

Ideal Candidate Profile

  • 5 to 8 years of related industry experience, ideally 2 years 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 clearly and compellingly to technology and business leadership.
  • Ability to work with a cross-functional sales team to formulate and execute an end-to-end deal cycle.
  • Ability to travel up to 25%.
  • A Bachelor’s degree or equivalent work experience.

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.

Key skills/competency

  • Solutions Architect
  • Pre-Sales
  • Technical Sales
  • Customer Relationship Management
  • Solution Design
  • Cloud Computing
  • Distributed Systems
  • Database Management
  • Communication Skills
  • Problem Solving

Tags:

Pre-Sales Solutions Architect
Solutions Architect
Technical Sales
MongoDB
Cloud Computing
Distributed Systems
Database
Solution Design
Customer Advisory
Sales Engineering

Share Job:

How to Get Hired at MongoDB

  • Tailor your resume: Highlight your experience with distributed systems, cloud platforms, and customer-facing roles, aligning with MongoDB's technical needs for a Pre-Sales Solutions Architect.
  • Showcase technical depth: Prepare to discuss your experience with scripting/programming languages, cloud implementations, and architectural reviews during the interview process.
  • Understand the business impact: Be ready to articulate how your technical solutions solve customer business problems and drive value, a key aspect of MongoDB's pre-sales approach.
  • Research MongoDB's culture: Familiarize yourself with MongoDB's mission, values, and commitment to innovation, especially regarding AI and modern data platforms.
  • Prepare for technical challenges: Expect questions about designing scalable systems, optimizing database performance, and leveraging cloud technologies like AWS, Azure, or GCP.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background