mongodb
VP, Global Specialist Sales
At a Glance
- Location
- Austin; New York City; Palo Alto; San Francisco
- Experience
- 12+ years
- Department
- D41110-Sales Growth NAMER
- Posted
- 2026-07-21T15:18:12-04:00
Key Requirements
Domain Knowledge
- Marketing
Benefits & Perks
ansgender-inclusive health insurance coverage, and health benefits offerings
Requirements
Extensive experience (typically 12+ years) in enterprise software sales or GTM leadership, with a track record building and scaling global specialist or overlay organizations
Proven experience owning both sales and technical (systems/solutions architecture) teams in a matrixed, cross-functional environment
Direct experience operating in early product-market fit environments — comfortable with ambiguity, evolving playbooks, and building processes from zero
Demonstrated ownership of a revenue or consumption number at a global or multi-region scale
Familiarity with, and ideally direct experience in, consumption-based business models (usage-based pricing, land-and-expand, PLG-to-enterprise motions)
Working knowledge of Agentic AI architectures, vector search/embeddings, retrieval-augmented generation, and modern analytics platforms — enough to credibly engage technical stakeholders and product teams
Responsibilities
Own a global number; Take full accountability for a consumption and/or bookings target across Agentic, Voyage AI, Vector Search, and Analytics, and build the plans, forecasting discipline, and pipeline hygiene needed to hit it predictably
Build and lead a global specialization team; Recruit, manage, and develop a team of Specialist Sales leaders and Specialist Systems/Solutions Architects across regions, ensuring consistent coverage, quality, and career growth
Operate like a startup inside MongoDB; These are early product-market fit motions — build the playbooks, qualification criteria, and champion strategies from scratch rather than inheriting mature process.
Drive fast, structured product feedback loops.
Serve as the connective tissue between the field and Product/Engineering, translating customer and prospect signal into prioritized feedback that shapes the roadmap for Agentic, Voyage AI, Vector Search, and Analytics
Own demo and pilot excellence; Ensure the team has best-in-class demo assets and a repeatable, fast pilot/PoC methodology that shortens time-to-value and builds technical credibility with customers and prospects
About the Company
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.