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Salary
$168k – $250k per year (Estimated)
Location
Remote/Hybrid (Austin, United States)
Seniority
Architect · 12+ years exp
Overview
Company
Impact
Profile match
MongoDB is an American database company founded in 2007 that built a document-oriented database storing records as flexible JSON-like structures rather than fixed relational tables. Its main commercial product is Atlas, a managed service running the database across the major public clouds with search, vector search, streaming and analytics layered on top, which now supplies the majority of company revenue. Headquartered in New York and listed on Nasdaq, it acquired the embedding model company Voyage AI in 2025 to strengthen its position in retrieval for artificial intelligence applications, and its database remains among the most widely used outside the relational world.

MongoDB is seeking a Vice President, Global Specialization Leader to build and scale a world-class specialist organization focused on our highest-growth, highest-innovation product surfaces: Agentic applications, Voyage AI, Vector Search, and Analytics. This is a foundational, builder-oriented leadership role for someone who thrives at the intersection of emerging technology, early-stage product-market fit, and enterprise go-to-market execution.

This leader will own the global specialist motion end-to-end - driving revenue, shaping product direction through frontline signal, and building a team of Specialist Sales and Specialist Solutions/Systems Architects that can sell, demo, and pilot next-generation AI-native workloads with speed and credibility.

We are looking to speak to candidates who are based in Austin, NYC, Palo Alto, or San Francisco for our hybrid working model.

What You'll Do

  • 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. Move fast, test, and iterate
  • 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
  • Partner deeply with core field sales; Act as a force-multiplier for account teams - co-selling, unblocking technical objections, and ensuring specialization efforts are additive to (not siloed from) the broader account strategy
  • Partner deeply with Product. Sit close to Product leadership for these areas, influencing roadmap, packaging, and positioning based on what's working (and not working) in the field.
  • Champion consumption-based value selling; Where applicable, bring experience helping customers scale usage over time, expanding footprint through demonstrated value rather than one-time transactions
  • Represent MongoDB externally. Serve as an executive-level voice with strategic customers, at industry events, and in analyst/press conversations on Agentic AI, vector search, and applied analytics

What You'll Need

  • 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
  • A track record of building fast, iterative feedback loops between field and product organizations
  • Experience standing up demo, proof-of-concept, and pilot programs that scale across a distributed, global team
  • Executive presence and the ability to influence cross-functionally without direct authority over Product, Marketing, or regional GTM leaders
  • Willingness to travel globally to support team, customers, and events

Why This Role

You'll be shaping how the next generation of AI-native applications get built on MongoDB - with direct influence over product direction, a mandate to build a team and motion from the ground up, and a seat at the table for one of the company's most strategic growth bets.

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, 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: 426346

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:

$270,000—$270,000 USD

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