MongoDB

MongoDB

VP & GM, Public Sector

Washington DC · Vp

No sponsorship$200k-$450kDetected 4 days ago
MongoDBAWSGCPData AnalysisCybersecuritySalesForecastingProcurementCustomer SuccessCadenceSystems EngineeringLeadershipMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 29 green-card filings in this occupation, 97% were for a worker who already held the job.

Green-card follow-through: 67%

Of 21 labor certifications old enough to have been used, 7 expired without the employer filing the next step. Median time from filing to decision: 495 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • MongoDB acquired Clarity Business Solutions to accelerate the modernization of government applications.
  • Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.

Responsibilities

  • Own the public-sector P&L, strategy, operating plan, and execution, with accountability for revenue, expenses, investment decisions, forecast quality, and overall performance.
  • Establish executive-grade forecasting, pipeline inspection, P&L reviews, account and partner planning, talent reviews, and cross-functional decision mechanisms that strengthen predictability and scalable execution
  • Lead and develop the Regional Directors and their sales teams, together with dedicated Finance, Sales Operations, Product, Solutions Architecture, and Customer Success resources
  • Make timely decisions with substantial autonomy, create clarity as the organization evolves, and balance near-term results with long-term scale
  • Align strategy, leadership, accountability, customer engagement, delivery, and partner motions
  • Grow strategic Federal civilian relationships and expand MongoDB's position in Defense by building trust with Department of Defense and other mission stakeholders, converting existing product usage into strategic customer relationships, and developing repeatable paths to new opportunities
  • Build and scale a partner ecosystem, with a strong emphasis on systems integrators alongside resellers and other strategic partners
  • Create joint customer and delivery motions that extend MongoDB's reach and support mission-relevant outcomes
  • Partner with Product, Security, Legal, Clarity, and cloud providers to address customer authorization and secure-delivery requirements without overpromising product readiness or certifications
  • Lead and develop the Regional Directors and their sales teams, together with dedicated Finance, Sales Operations, Product, Solutions Architecture, and Customer Success resources; Set shared goals, clarify decision rights, and establish effective interfaces with MongoDB's broader functional organizations

Requirements

  • Active security clearance is required, along with experience in highly regulated public-sector markets
  • Clarity is a federal-focused software and systems engineering firm with expertise in data analytics, data processing, and data flow.

Compensation

  • Salary is one part of MongoDB's total compensation and benefits package.
  • 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:

Benefits

  • Other benefits for eligible employees may include:

Company info

  • You will shape how Clarity's people and capabilities work alongside MongoDB by aligning strategy, customer engagement, delivery, and operating practices while preserving the specialized expertise federal customers rely on.
  • We are looking to speak to candidates who are based in Washington DC for our hybrid working model.
  • With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software.
  • Build an increasingly autonomous, high-performing public-sector entity by setting its governance, resource priorities, operating cadence, and talent systems, while applying MongoDB's company-wide processes and the practices needed to serve government customers
  • Build an increasingly autonomous, high-performing public-sector entity by setting its governance, resource priorities, operating cadence, and talent systems, while applying MongoDB's company-wide processes and the practices needed to serve government customers; Make timely decisions with substantial autonomy, create clarity as the organization evolves, and balance near-term results with long-term scale
  • What we are looking for
  • 8+ years of public-sector leadership across Federal civilian and Defense customers at modern software, cloud, data, cybersecurity, or technology platform companies

Visa & Work Authorization

  • Active security clearance is required, along with experience in highly regulated public-sector markets

This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.