← All jobs · MongoDB

Principal Partner Specialist, Google Cloud

MongoDB ·
14
AI-Agency
B5 U30
📍 New York City, US Senior 8+ yrs
TL;DR

Principal Partner Specialist at MongoDB leading Google Cloud partnership strategy and co-selling in the US-East region. Owns end-to-end partner relationships, pipeline generation, and quota for new business through cloud partnerships.

Apply at MongoDB →
share:
you'll be redirected to the company's career page

Job description

We are looking for a hardworking, innovative Principal Partner Specialist, Google Cloud with great energy, passion, and initiative to channel new business for the fastest growing and most-popular database on the planet, MongoDB.  

The Principal Cloud Partner Specialist will lead the strategic pursuit of large-scale transformation opportunities across the customer base, act as the deal-maker across Google Cloud & MongoDB, and own the end-to-end partner relationship. The role will be supported by Google Cloud & MongoDB Sales Leadership, Solution Architects, Marketing, and Sales Operations, all geared towards the success of the individual. 

This individual will own the Go-to-Market (GTM) strategy with Google Cloud in the US-East region, and  will be responsible for generating incremental pipeline via our cloud partnerships, growing deal size and accelerating sales cycle, and close business leveraging our partner programs. Must be located in the United States, preferably on the East Coast, with the ability to commute into the New York City headquarters office as needed.

Responsibilities

Requirements

Things we love

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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426234

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:
$162,000$162,000 USD
Apply at MongoDB →

More open roles at MongoDB

MongoDB 🔷 AI-first · 🔄 synced 7h ago
Staff Research Scientist
📍 Palo Alto, US 🌐 Remote 💰 $151K–$297K · Staff
Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for RAG and semantic search. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.
PyTorchTensorFlowJAXembedding modelsrerankersLLMs
83
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 US 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehouses
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of AI Platform, GM
📍 US 🌐 Remote 🛠 AI tools welcome at work · Executive
Head of AI Platform and General Manager at MongoDB leading the development and scaling of a new AI Applications Platform. Owns product vision, P&L, and R&D organization (Engineering, Product, Design) for an enterprise-grade platform serving thousands of customers building production AI applications.
MongoDB AtlasAWSGoogle CloudMicrosoft Azurevector databasesembeddings
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Senior Staff Engineer, AMP
📍 British Columbia, CA 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, platform architecture, and multi-agent AI orchestration to transform legacy applications into modern microservices-based systems.
MongoDBmicroservicesdistributed systemsdata warehousesorchestration agents
79
AI-core
MongoDB 🔷 AI-first · 🔄 synced 7h ago
Head of Post Sales Technology
📍 Palo Alto, US 🌐 Remote 🛠 AI tools welcome at work · Director
Head of Post Sales Technology at MongoDB leading AI-first transformation of customer support. Responsible for designing conversational AI platforms, predictive analytics, intelligent automation, and change leadership across support operations.
RAGconversational AImachine learningenterprise data platformsworkflow automation
77
AI-core