Advisory Partner Solutions Architect

Posted 8 Hours Ago
Easy Apply
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Hiring Remotely in India
Remote or Hybrid
Expert/Leader
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
Lead partner-focused pre-sales architecture for MongoDB Atlas: design scalable, secure cloud and hybrid solutions; advise partners and sellers; build joint offerings, demos, workshops, and reference architectures; support modern AI patterns (RAG, vector search); influence product roadmap; enable field teams and mentor peers.
Summary Generated by Built In

We are looking for a passionate technologist to join our Pre-Sales organization and help ensure our growth is grounded in strong technical alignment between MongoDB, our partners, and the needs of our customers.

MongoDB Solutions Architects help customers and partners design and build reliable, scalable systems using our data platform. On the Partners team, this role goes beyond core solution design and includes driving technical strategy with hyperscalers, GSIs, ISVs, and ecosystem partners; shaping joint solutions; and creating repeatable field assets that accelerate adoption.

You will work closely with sales, partner, and technical stakeholders to solve business problems with MongoDB, influence complex opportunities, and help build partner-led growth in India and across the region.

We are looking to speak to candidates who are based in India for our remote working model.

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

MongoDB Product Suite Mastery

  • 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

Market-Relevant Technologies:

  • 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

Modern Architecture Design:

  • 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

Sales Techniques and Soft Skills:

  • Effective Communication: Master presentations, demonstrations, and whiteboarding
  • Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

  • Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

Why this role matters

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.

About MongoDB

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. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 2273489128

Skills Required

  • 12+ years in a customer-facing technical role (pre-sales, consulting, partner, or solutions architecture) in enterprise software
  • Based in India (eligible for the India remote working model)
  • Significant pre-sales, consulting, partner, or solutions architecture experience with complex enterprise opportunities
  • Strong experience navigating complex sales cycles and aligning technical and business stakeholders
  • Hands-on experience with modern application development, data platforms, or cloud-native systems and proficiency in at least one language: Python, JavaScript, Java, C#, or SQL
  • Experience designing distributed systems in cloud and hybrid environments with knowledge of scalability, resilience, and security
  • Experience working with hyperscaler partnerships, ISV integrations, AI/ML applications, data engineering, platform modernization, or developer platforms
  • Ability to create technical assets, lead workshops, deliver demos and proofs of value, and produce repeatable field content
  • Strong presentation, communication, and interpersonal skills with ability to influence without authority
  • Familiarity with modern sales methodologies and close collaboration with sales leadership
  • Ability to travel up to 25%
  • Experience with database programming and data models
  • Experience in data engineering or AI/ML projects
  • Experience transforming legacy systems into modern, scalable technology stacks
  • Experience with SRE practices
  • MongoDB Certification or Cloud Provider Certification
  • Experience with MongoDB Atlas and adjacent services (Search, Vector Search, Stream Processing, Data Lake, Charts)
  • Experience with partner technologies and ecosystems such as AWS, Azure, Kubernetes, or Apache Kafka
  • Public speaking, published technical content, or external technical representation experience

What the Team is Saying

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MongoDB Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes an employee-only option with no paycheck deductions in at least one plan, employer HSA contributions, and free One Medical membership, indicating strong medical and wellness support.
  • Parental & Family Support Paid parental leave and generous reimbursement for fertility, adoption, and surrogacy—along with parenting support resources—signal a robust family-building package.
  • Leave & Time Off Breadth A flexible/unlimited PTO policy for U.S. employees, alongside company holidays, supports meaningful time away from work.

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The Company
HQ: New York, NY
5,550 Employees
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

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