Advisory Solutions Architect (Pre-Sales)

MongoDB • San Francisco, CA

1d • Hybrid

About The Position

MongoDB is seeking a seasoned technologist to join its Pre-Sales organization and help customers design and build reliable, scalable systems using MongoDB’s data platform. The Advisory Solutions Architect serves as a trusted advisor to users ranging from startups to large enterprise IT organizations, taking technical responsibility for customer success across software design, deployment, and operations. The role partners closely with sales executives to solve business problems, support deal wins, and advance the business. The position is based in San Francisco and follows a hybrid working model.

The role focuses on complex opportunities requiring in-depth evaluation. It combines architecture and customer advising with sales partnership, demand generation, customer success, innovation, mentoring, and ongoing professional development. The architect will also build expertise in MongoDB products, cloud and complementary technologies, modern architecture practices, generative AI architectures, and sales techniques.

Requirements

• Ideally, 12 or more years of related experience in a customer-facing role.
• At least 7 years of pre-sales experience navigating complex enterprise software sales cycles with multiple stakeholders.
• At least 3 years of professional experience with modern scripting languages such as Python, Node.js, or SQL, and/or popular programming languages such as C/C++, Java, or C#.
• Experience designing scalable, highly available distributed systems in cloud and on-premises environments.
• Ability to review complex existing application architectures with customers and recommend improvements using technology.
• Excellent presentation, communication, and interpersonal skills, including the ability to explain complex technical and business concepts clearly to technology and business leadership.
• Experience collaborating with Sales Leadership at the Regional Director level to identify growth strategies across multiple sales representatives, accounts, or industry verticals.
• Strong understanding of sales methodologies or frameworks such as MEDDPICC or Command of the Message.
• Ability to travel up to 25%.
• A Master’s degree or equivalent work experience.

Nice To Haves

• Experience with database programming and data models.
• Experience in data engineering or AI/ML projects.
• Experience transforming legacy systems and platforms into modern, scalable, and efficient technology stacks.
• Experience with SRE practices.
• Ability to elevate the broader organization by sharing best practices or creating reusable assets.
• MongoDB Certification.
• Cloud Provider Certification.
• Experience presenting at industry conferences or publishing articles, papers, or blog posts that demonstrate expertise and thought leadership.

Responsibilities

• Design scalable, performant applications, systems, and infrastructure for large software projects using MongoDB.
• Advise customers on MongoDB architecture patterns and optimization strategies, and communicate the platform’s business value to relevant stakeholders.
• Partner with sales teams on account planning, opportunity prioritization and qualification, and pipeline-generation strategy.
• Own technical aspects of sales opportunities, including technical discovery, demonstrations, proofs of value, presentations, sizing, and documentation.
• Generate demand within the sales territory through self-directed technical initiatives and participation in industry trade shows and account-based marketing events.
• Build strong customer relationships, develop champions, and support customer success and satisfaction.
• Identify opportunities to improve MongoDB solutions and processes, including relaying field feedback to the product team.
• Mentor other Solutions Consulting team members and share thought leadership through articles, public speaking, or panels.
• Participate in ongoing training and professional development to stay current with MongoDB products and industry trends.

Benefits

• Fertility assistance.
• Generous parental leave policy.
• Employee affinity groups.
• Accommodations for individuals with disabilities during the application and interview process.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior