---
title: 'Advisory Partner Solutions Architect at MongoDB'
canonical: 'https://feeny.ai/job/advisory-partner-solutions-architect-mongodb-india-kgp9w1qd85z6'
type: 'job'
last_seen: '2026-09-13'
---

# Advisory Partner Solutions Architect at MongoDB

- **Company:** MongoDB
- **Location:** India
- **Posted:** 2026-07-14
- **Last confirmed live:** 2026-09-13
- **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8050418

## Job description

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.

This role will be based remotely in Bengaluru.

## 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,](https://www.mongodb.com/company) 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](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), 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](https://www.mongodb.com/blog/channel/culture), 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

## About MongoDB

## Company Overview
- **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale.
- **Entity Type**: Public (NASDAQ: MDB)
- **Headquarters**: New York, USA
- **Founded**: 2007 (as 10gen; renamed MongoDB in 2013)
- **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan

## Core Business
- **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready)
- **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications
- **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Products & Services
- **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)]
- **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support.
- **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production.
- **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform.
- **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs).

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data).
- **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)].
- **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Growth Signals**:
  - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]
  - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Competitive Advantages
- **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types.
- **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in.
- **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community.
- **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads.
- **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects.

## Strategic Focus
- **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI).
- **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption.

## Why Work Here
- **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)].
- **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos.

## Sources
1. [MongoDB Careers Page](https://www.mongodb.com/company/careers)
2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer)
3. [MongoDB Homepage](https://www.mongodb.com/)
4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)
5. [MongoDB Culture on Built In](https://builtin.com/company/mongodb/faq/culture-values)

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