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Advisory Solutions Architect San Francisco

Advisory Solutions Architect San Francisco

MongoDBSan Francisco, CA, United States
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MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

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.

This role will be based remotely in San Francisco.

As an ideal candidate, you will have :

  • Ideally, 12+ years of related experience in a customer facing role, minimum 7 years of pre-sales experience while navigating complex enterprise software sales cycles with multiple stakeholders
  • 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.
  • Presented at industry conferences, published articles, papers or blog posts sharing expertise and showing thought leadership.
  • Demonstrated ability to drive effective collaboration with Sales Leadership at the Regional Director level to proactively identify strategies driving growth across multiple Sales Reps / Accounts or Industry Verticals.
  • Demonstrated strong understanding of popular sales methodologies / frameworks such as MEDDPICC / Command of the Message
  • The ability to travel up to 25%
  • A Master’s degree or equivalent work experience

You may also have :

  • 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
  • Experience in SRE practices
  • Proven ability to up-level the broader organization - for example by sharing best practices or creating reusable assets
  • A MongoDB Certification
  • What you do at MongoDB :

    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. Show thought leadership through publication of articles, public speaking sessions or panels.
  • 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 :

  • 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 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.
  • 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    MongoDB’s base salary range for this role in the U.S. is :

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