MongoDB

1 week ago

Advisory Partner Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design scalable, secure, high-performing application and data/AI architectures for customer and partner-led solutions using MongoDB Atlas. Serve as a trusted technical advisor to partners and sellers across cloud and hybrid environments, leading architecture reviews, modernization strategy, discovery, demos, proofs of value, sizing, and documentation. Build joint partner offerings and reusable field assets, advise on RAG and agentic AI patterns, and mentor peers while influencing technical win strategy in India and the broader region.

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design scalable, secure, high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions.
•Guide architecture reviews and modernization/deployment decisions across cloud and hybrid environments as a trusted technical advisor.
•Drive complex partner and ecosystem opportunities through technical discovery, solution mapping, demos, proofs of value, sizing, and technical documentation.
•Build joint partner offerings and reusable field assets (quick starts, workshops, demos, reference architectures, and technical guidance) to accelerate MongoDB adoption.
•Advise on modern AI application patterns (RAG, vector search, agentic workflows) and collaborate with product/engineering/partners to relay field feedback and influence roadmap conversations.

Travel: Medium travel

Key Requirements

•12+ years in a customer-facing technical role with significant pre-sales, consulting, partner, or solutions architecture experience in enterprise software.
•Hands-on experience with modern application development, data platforms, or cloud-native systems; includes at least one language such as Python, JavaScript, Java, C#, or SQL.
•Experience designing distributed systems in cloud/hybrid environments with scalability, resilience, and security considerations.
•Ability to translate technical architecture into business value for executives, architects, developers, and partner stakeholders.
•Experience with hyperscaler partnerships, ISV integrations, AI/ML applications, data engineering, platform modernization, or developer platforms.

Experience:12+ yearsEnterprise softwarePre-salesConsultingPartner solutionsCloud-nativeData platformsAI/MLHyperscaler ecosystems

Skills:CommunicationPresentationInterpersonal skillsInfluencingStakeholder managementTechnical discovery

Certifications:MongoDB CertificationCloud Provider Certification

Languages:English

Tech Stack:MongoDB AtlasMongoDBPythonJavaScriptJavaC#SQLRAGVector searchAgentic workflowsMicroservicesDevOpsCloudSecurityApache KafkaKubernetesAWSAzureGoogle CloudAtlas Search

Company Brief

MongoDB

Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn

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MongoDB

1 week ago

Advisory Partner Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: India

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design scalable, secure, high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions.
•Guide architecture reviews and modernization/deployment decisions across cloud and hybrid environments as a trusted technical advisor.
•Drive complex partner and ecosystem opportunities through technical discovery, solution mapping, demos, proofs of value, sizing, and technical documentation.
•Build joint partner offerings and reusable field assets (quick starts, workshops, demos, reference architectures, and technical guidance) to accelerate MongoDB adoption.
•Advise on modern AI application patterns (RAG, vector search, agentic workflows) and collaborate with product/engineering/partners to relay field feedback and influence roadmap conversations.

Travel: Medium travel

Key Requirements

•12+ years in a customer-facing technical role with significant pre-sales, consulting, partner, or solutions architecture experience in enterprise software.
•Hands-on experience with modern application development, data platforms, or cloud-native systems; includes at least one language such as Python, JavaScript, Java, C#, or SQL.
•Experience designing distributed systems in cloud/hybrid environments with scalability, resilience, and security considerations.
•Ability to translate technical architecture into business value for executives, architects, developers, and partner stakeholders.
•Experience with hyperscaler partnerships, ISV integrations, AI/ML applications, data engineering, platform modernization, or developer platforms.

Experience:12+ yearsEnterprise softwarePre-salesConsultingPartner solutionsCloud-nativeData platformsAI/MLHyperscaler ecosystems

Skills:CommunicationPresentationInterpersonal skillsInfluencingStakeholder managementTechnical discovery

Certifications:MongoDB CertificationCloud Provider Certification

Languages:English

Tech Stack:MongoDB AtlasMongoDBPythonJavaScriptJavaC#SQLRAGVector searchAgentic workflowsMicroservicesDevOpsCloudSecurityApache KafkaKubernetesAWSAzureGoogle CloudAtlas Search

Company Brief

MongoDB

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn