Level

MongoDB

Manager, Solutions Architecture

MongoDB is hiring a Manager, Solutions Architecture in Beijing and Shanghai, China. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting allows some remote work.
  • Tools and skills the posting cites include MongoDB Atlas, AWS and Google Cloud.
  • Level classifies it as a lead role.
  • Level lists 382 other open roles at MongoDB.

AI in this role

Manager of Solutions Architecture leading a pre-sales team helping customers build modern, AI-powered database applications.

mongodb-atlasawsgoogle-cloudmicrosoft-azure
pre-salessolutions-architectureteam-managementcloud-computing

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

We are looking for an experienced and driven leader, with great energy, passion and initiative to manage a highly motivated Pre-Sales Solutions Architecture team.

MongoDB Pre-Sales Solution Architects partner with the rest of the go to market team to help our customers craft and build solutions to address their business needs. Our team is made up of top-tier software architects, entrepreneurs, and developers who take direct responsibility for customer success. As an integral component of the sales team, they help shoulder the responsibility of generating revenue, by strategically interfacing with the customer and becoming the trusted advisor. 

As a leader in Pre-Sales Solutions Architecture, you will cultivate a stellar team. You will partner closely with our sales counterparts to define, improve and execute our sales initiatives in the enterprise market.  You will be integral  to driving the business forward, by developing  both our pre-sales and sales practices and by bringing the voice of experience.

We are looking to speak to candidates who are based in Beijing or Shanghai, China for our hybrid working model.

Candidate Profile

  • At least 4 years of expertise in pre-sales, showcasing a proven capacity to impact revenue, grow strategic accounts, and navigate complex enterprise sales cycles
  • 2+ years Management experience, ideally managing distributed pre-sales teams
  • Deep knowledge of cloud, data, and AI landscapes, including competitor strategies, partner networks, and emerging market shifts
  • Substantial background engaging key industries such as SaaS, FinTech, artificial intelligence, or advanced manufacturing
  • Strong communication and storytelling abilities, with the presence to influence C-suite executives and stakeholders alike
  • Driven – you possess a strong desire to be successful
  • Disciplined – you are skilled in managing time and resources and have a sound approach to technically qualifying opportunities
  • Intelligent – you possess an aptitude to learn quickly and establish credibility
  • Database industry background a plus
  • Software development background a plus
  • The ability to travel up to 20%
  • Bachelor’s degree or comparable professional experience

Position Expectations

  • Act as a strategic co-owner of regional business results alongside sales leadership and account executives
  • Leverage technical and market intelligence to prioritize high-value prospects and optimize resource allocation
  • Recruit, retain, and develop top pre-sales talent
  • Guide the presales team through rigorous discovery, stakeholder engagement, and mutual action planning to accelerate deals
  • Foster strong and effective relationships & champions with customers, resulting in growth opportunities
  • Work closely with the Customer Success & Professional Services teams to achieve customer satisfaction and with Marketing to conduct seminars, trade shows and other marketing related events
  • Coach the team to exceed monthly, quarterly and annual bookings objectives

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.

Requisition ID :  3273522459

How we rate this

Manager, Solutions Architecture at MongoDB rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Pre SalesSolutions ArchitectureTeam ManagementCloud ComputingMongoDB AtlasAWSGoogle CloudMicrosoft Azure

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. Tell me about a project where pre sales was part of your work. What did you do?
  2. Tell me about a project where solutions architecture was part of your work. What did you do?
  3. Tell me about a project where team management was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Walk me through how you've used MongoDB Atlas in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Pre Sales, Solutions Architecture, Team Management, Cloud Computing, and MongoDB Atlas. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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