This role is ideal for someone who enjoys blending solution architecture, partner strategy, technical sales, and emerging technology. The strongest candidates will be comfortable operating at the intersection of customer outcomes, partner ecosystems, field enablement, and product innovation.
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
Задачи
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
Strong experience navigating complex sales cycles and aligning technical and business stakeholders across customers, partners, and internal teams
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
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
Требования
12+ years of experience in a customer-facing technical role, including 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, including at least one scripting or programming language such as Python, JavaScript, Java, C#, or SQL
A demonstrated ability to create technical assets, lead workshops, and enable broader field teams with reusable content and repeatable patterns
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greenhouseОсновная публикация · 2026-07-14
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