Pre-sales Solutions Architect City jobs at Mongodb in Mexico, Mexico City

• 5 to 8 years of related industry experience, ideally 2 years of experience 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 in a clear and compelling manner to technology and business leadership
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• A Bachelor’s degree or equivalent work experience

• 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

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 optimisation 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

• 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

• 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

• 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 journey and working with industry leading partners in the space

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

As a Senior Sales Strategy & Planning Analyst, you will:

• Drive the analytical cadence of our business, including quarterly business reviews and organizational deep dives
• Collaborate closely with Senior Sales leadership to conduct market and segment-specific analyses, uncovering actionable insights
• Conceptualize and pilot new programs to test the effectiveness of various sales roles / comp plans
• Establish trust with key stakeholders in sales leadership and our cross-functional partners (including, but not limited to, Finance, Operations, Compensation, HR, Recruiting)
• Become an expert in understanding our Acquisition & Growth sales motions and support our go-to-market initiatives and strategies
• Think critically to navigate ambiguous situations, problem solve and provide recommendations to your team and leadership
• Continuously assess business performance, drive diagnostics and deliver data-driven recommendations on ways to improve, grow and scale

• Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.)
• 3+ years of work experience in either Sales Strategy / Consulting / Sales Operations / Analytics
• Effective communicator who can break down convoluted technical concepts into simple business vernacular
• Experience in a business partner role and/or managing executive relationships
• Experience with quarterly planning, forecasting and reporting
• A self-starter who is not afraid to share new ideas or disrupt current processes to improve business operating rhythm
• Naturally curious – you’re excited by learning new things and often look for ways to innovate and develop
• Ability to write SQL queries to extract data needed for analysis
• You are a spreadsheet wizard with the ability to manipulate and analyze data
• Experience with at least one major business intelligence tool (Tableau, CRM Analytics, Google Data Studio, Looker)
• You can navigate your way around Salesforce with relative ease, CRM Analytics experience is a plus
• Fluent in English, proficient in Portuguese and/or Spanish required
• Located in Sao Paulo, preferred