Advisory Solutions Architect (Pre-Sales)

MongoDB

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$118,000–$231,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $174k
$104k $245k
below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $155,000–$214,254 — the blue band above. At the midpoint, this role pays about $174k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 50 open roles on FindRole.

Listed pay typically runs $121,000–$248,000 across 47 roles with salary data.

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View all roles at MongoDB

At a glance

TL;DR · Advisory Solutions Architect (Pre-Sales)

The Advisory Solutions Architect (Pre-Sales) joins the Pre-Sales organization to guide customers in designing and building reliable, scalable systems using the MongoDB data platform. You will work closely with sales executives to solve business problems, perform technical discovery, conduct demos, and provide proof of value for large software projects. Key responsibilities include architecting performant applications, advising on optimization strategies, and generating demand through technical initiatives. The role requires proficiency in scripting or programming languages such as Python, Node.js, SQL, C/C++, and Java. You will leverage expertise in distributed systems, cloud environments, and modern architectures like microservices and RAG. The work focuses on helping organizations modernize legacy workloads, transform into efficient technology stacks, and navigate generative AI journeys using MongoDB Atlas across AWS, Google Cloud, and Microsoft Azure.

What you'll do

  • Design and architect scalable, performant applications and infrastructure for large software projects using MongoDB.
  • Guide customers on architecture patterns and optimization strategies while communicating the business value of the platform.
  • Lead technical discovery, product demonstrations, proof of value assessments, and technical documentation for sales opportunities.
  • Collaborate with sales teams on account planning, opportunity prioritization, and pipeline generation strategies.
  • Generate demand through self-driven technical initiatives, industry trade shows, and account-based marketing events.
  • Foster strong customer relationships to build internal champions and ensure long-term customer success.
  • Relay field feedback to the product team and mentor other Solutions Consulting team members.
  • Publish articles, speak at public sessions, and share thought leadership on data platform trends.

What we're looking for

  • Ideally, have 12+ years of experience in a customer-facing role.
  • Ideally, have a minimum of 7 years of pre-sales experience navigating complex enterprise software sales cycles.
  • Have a minimum of 3 years of professional experience with modern scripting or popular programming languages like Python, Node.js, SQL, C/C++, Java, or C#.
  • Have experience designing scalable and highly available distributed systems in the cloud and on-premises.
  • Have excellent presentation, communication, and interpersonal skills to convey complex technical and business concepts.
  • Have a demonstrated understanding of sales methodologies such as MEDDPICC or Command of the Message.
  • Have a Master’s degree or equivalent work experience.
  • Experience with database programming, data engineering, AI/ML projects, or SRE practices (preferred).

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