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MongoDB

Builds document databases for software teams

Senior Partner Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listedHybrid

About the Job

Requirements

  • At least 8 years of experience in software architecture, software engineering, solutions architecture, technical consulting, or a related field.
  • At least 5 years of experience in technical pre-sales, partner engineering, enterprise architecture, or customer-facing technical leadership.
  • Demonstrated experience working directly with independent software vendors, software-as-a-service companies, original equipment manufacturers, technology partners, or strategic ecosystem partners.
  • Strong understanding of distributed systems, data modeling, databases, application programming interfaces, networking, security, observability, high availability, and performance engineering.
  • Experience reviewing or designing production architectures for software-as-a-service, embedded software, artificial intelligence or agent applications, or customer-managed deployments.
  • Ability to code or prototype in one or more modern languages, such as Python, Java, JavaScript or TypeScript, Go, C#, or SQL.
  • Experience with public cloud platforms and/or self-managed environments.
  • Ability to translate complex technical concepts into clear architecture decisions, executive-level recommendations, partner messaging, and field enablement.
  • Excellent written and verbal communication, presentation, whiteboarding, facilitation, and stakeholder-management skills.
  • Ability to operate independently in ambiguous, cross-functional environments and create structure where partner processes are still evolving.
  • Willingness to travel as needed for partner, customer, and field engagements.

Responsibilities

  • Serve as the senior technical advisor for strategic independent software vendor and technology-partner engagements, including embedded software, software-as-a-service, bring-your-own-application and bring-your-own-enterprise-architecture, artificial intelligence, and agent products.
  • Lead technical discovery and architecture reviews to clarify partner workloads, adoption paths, deployment models, customer segments, success criteria, and MongoDB value propositions.
  • Guide partners through a repeatable technical validation and solution-assurance process covering architecture, deployment, security, compliance, performance, scale, resilience, operability, upgrades, support ownership, and lifecycle management.
  • Establish evidence-based readiness gates and partner maturity assessments, distinguishing tested, supported, recommended, and go-to-market-approved claims.
  • Design reference architectures, integration patterns, sizing guidance, deployment blueprints, quickstarts, demos, troubleshooting guidance, and partner-facing documentation.
  • Help partners build MongoDB into shipped products, software-as-a-service platforms, artificial intelligence applications, agent systems, and customer-managed environments while defining ownership boundaries and support handoffs.
  • Support MongoDB design wins and technical co-sell motions in partnership with sales, field solution architects, product, marketing, professional services, technical services, and partner programs.
  • Create technical “better together” messaging and field-ready enablement for partner sellers, MongoDB sellers, and customer-facing architects to position joint solutions consistently.
  • Deliver technical workshops, webinars, executive briefings, partner enablement, and customer-facing presentations that turn validated architecture into pipeline and adoption.
  • Build scalable operating mechanisms for independent software vendor onboarding, intake, partner classification, evidence collection, gap remediation, conflict management, approval workflows, and post-launch re-assurance.
  • Turn individual engagements into reusable assets and operating patterns that improve time to value, partner self-service, field readiness, technical quality, and customer success.
  • Represent partner requirements internally, influence product and roadmap decisions, and escalate technical or business dependencies that could affect partner launch timing or customer outcomes.

Desired Qualifications

  • Experience with MongoDB Atlas, MongoDB Enterprise Advanced, MongoDB Search, Vector Search, or MongoDB partner integrations.
  • Experience establishing technical validation, Well-Architected Framework, solution-assurance, certification, or partner self-attestation programs.
  • Experience with multi-tenant software-as-a-service architecture, embedded databases, original equipment manufacturer offerings, database-as-a-service, or sovereign-cloud solutions.
  • Experience with artificial intelligence agents, retrieval, durable memory, model context, MCP, or enterprise search architectures.
  • Experience with performance benchmarking, reference implementations, technical workshops, field enablement, or partner launch programs.
  • MongoDB certification, cloud-provider certification, or equivalent industry credentials.

About the Company

MongoDB

Builds document databases for software teams

MongoDB builds databases for software teams that need to store and retrieve application data without fitting every record into fixed rows and columns. Its flagship Atlas service runs the database in the cloud and combines it with tools for search, real-time analytics and AI retrieval. Data is stored as flexible documents, letting developers change an application's structure while keeping related information together. Customers pay for cloud resources and usage, or buy Enterprise Advanced subscriptions to run the software themselves with monitoring, management tools and technical support. MongoDB was founded in 2007 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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