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MongoDB

Advisory Partner Solutions Architect

RemoteIndia only
Published
Role
Sales
Experience
Lead
Company size
Enterprise
Salary not disclosed
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No BS summary

India-based advisory solutions architect with 12+ years in customer-facing technical roles, including pre-sales, consulting, partner, or enterprise software solution architecture. Needs hands-on application development, data platform or cloud-native experience, plus one scripting/programming language such as Python, JavaScript, Java, C#, or SQL. Must understand distributed systems across cloud/hybrid environments and be able to travel up to 25%.

Core skills

MongoDB AtlasSolutions Architecture

Required skills

Python/JavaScript/Java/C#/SQL

Optional skills

MongoDBSearchVector SearchStream ProcessingData LakeAWSAzureKubernetes

What you'll do

  • Design scalable, secure, and high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions.
  • Act as a trusted technical advisor to partners, sellers, and customers by guiding architecture reviews, modernization strategies, and deployment decisions across cloud and hybrid environments.
  • Work on complex partner and ecosystem opportunities requiring deep technical discovery, solution mapping, demos, proofs of value, sizing, and technical documentation.
  • Build and refine joint partner offerings, integration patterns, quick starts, workshops, demos, and reference architectures with hyperscalers, ISVs, and strategic ecosystem partners.
  • Create reusable field assets such as demos, presentations, sample architectures, workshops, and technical guidance to help sellers and partners scale MongoDB adoption.
  • Advise on modern AI application patterns including RAG, vector search, agentic workflows, and integration approaches across partner ecosystems.
  • Support field and partner teams with implementation guidance, technical objections, and practical workarounds where product capabilities, frameworks, or documentation are still evolving.
  • Collaborate with product, engineering, and partner teams to relay field feedback, influence roadmap conversations, and improve MongoDB integrations and partner experiences.
  • Partner with account teams on territory and account planning, opportunity qualification, pipeline generation, and technical win strategy.
  • Represent MongoDB externally through customer workshops, partner sessions, industry events, and thought leadership content.
  • Mentor peers and help raise the bar for the broader Solutions Consulting organization through knowledge sharing and repeatable best practices.

What they require

  • 12+ years of experience in a customer-facing technical role, including significant pre-sales, consulting, partner, or solutions architecture experience in enterprise software.
  • Strong experience navigating complex sales cycles and aligning technical and business stakeholders across customers, partners, and internal teams.
  • Hands-on experience with modern application development, data platforms, or cloud-native systems, including at least one scripting or programming language such as Python, JavaScript, Java, C#, or SQL.
  • Experience designing distributed systems in cloud and hybrid environments with an understanding of scalability, resilience, and security considerations.
  • Ability to translate technical architecture into business value for executives, architects, developers, and partner stakeholders.
  • Experience working with one or more of the following: hyperscaler partnerships, ISV integrations, AI/ML applications, data engineering, platform modernization, or developer platforms.
  • Demonstrated ability to create technical assets, lead workshops, and enable broader field teams with reusable content and repeatable patterns.
  • Strong presentation, communication, and interpersonal skills, with the ability to influence without direct authority.
  • Familiarity with modern sales methodologies and strong collaboration with sales leadership.
  • Ability to travel up to 25%.
  • Preferred: Experience with database programming and data models.
  • Preferred: Experience in data engineering or AI/ML projects.
  • Preferred: Experience transforming legacy systems and platforms into modern, scalable, and efficient technology stacks.
  • Preferred: Experience in SRE practices.
  • Preferred: Proven ability to up-level the broader organization, for example by sharing best practices or creating reusable assets.
  • Preferred: MongoDB Certification or Cloud Provider Certification.
  • Preferred: Experience with MongoDB Atlas and adjacent services such as Search, Vector Search, Stream Processing, Data Lake, and related application modernization patterns.
  • Preferred: Experience with partner technologies and ecosystems such as AWS, Azure, Kubernetes, Apache Kafka, or framework-level integrations used in modern AI applications.
  • Preferred: Track record of public speaking, publishing technical content, or representing a company in external technical forums.

Benefits

  • Employee affinity groups.
  • Fertility assistance.
  • Generous parental leave policy.
  • Supportive and enriching culture.
  • Necessary accommodations for individuals with disabilities within the application and interview process.

cross-platform document-oriented database management system

Details

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Salary not disclosed