MongoDB
Advisory Partner Solutions Architect
Vaga remota de Solutions Consulting, Partners com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis19 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Advisory Partner Solutions Architect
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
What you'll do at MongoDB
- 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 that require 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 that 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 the quality of 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
As an ideal candidate, you will have
- 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
- The 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
- A 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
- The ability to travel up to 25%
You may also have
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Experience in SRE practices
- Proven ability to up-level the broader organization - for example by sharing best practices or creating reusable assets
- A MongoDB Certification or a Cloud Provider Certification
- Experience with MongoDB Atlas and adjacent services such as Search, Vector Search, Stream Processing, Data Lake, and related application modernization patterns.
- Experience with partner technologies and ecosystems such as AWS, Azure, Kubernetes, Apache Kafka, or framework-level integrations used in modern AI applications.
- A track record of public speaking, publishing technical content, or representing a company in external technical forums.
What you will learn
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
What you will learn
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
What you will learn
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
What you will learn
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
What you will learn
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
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