MongoDB

MongoDB

Lead, Early Talent Recruiting Coordination

New York City

Sponsorship not specified$53k-$105kDetected 2 days ago
MongoDBAWSGCPLogisticsRecruitingZendeskLeadershipCommunicationCollaborationMentoring

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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 intent detected

MONGODB, INC. obtained a prevailing wage determination for Software Developers in San Francisco, CALIFORNIA on 2026-06-29. No matching green-card filing appears in our data yet. The determination expires in 21 days (2026-09-26), and a green-card filing must follow before then or the employer starts over.

Green-card follow-through: 59%

Of 17 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

  • This role is ideal for an operationally minded leader who enjoys solving complex problems, improving processes, and creating simple, effective systems in a fast-paced, global environment.
  • Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win.
  • Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

Responsibilities

  • Lead and Develop the Team
  • Lead, coach, and develop Early Talent Program Coordinators supporting internship, new graduate, and entry level hiring globally.
  • Own Global Coordination Operations
  • Own the global operating model for Early Talent recruiting coordination, including intake, interview scheduling, candidate communication, and offer-stage support.
  • Forecast hiring demand and coordinate workload and resources to maintain service quality during peak periods.
  • Identify operational risks and implement solutions that improve efficiency, consistency, and scalability.
  • Partner with Recruiting and Business Stakeholders
  • Partner with Recruiting leaders, recruiters, hiring managers, program management leaders, and cross-functional teams to translate hiring goals into effective operating plans.
  • Build trusted relationships across regions and communicate priorities, progress, risks, and decisions clearly.
  • Represent the coordinator team in global planning and process-design discussions.

Requirements

  • Experience in recruiting coordination, university or Early Talent recruiting, candidate experience, recruiting operations, program operations, or a closely related field.
  • Ability to work effectively across regions, cultures, and time zones in a fast-paced, high-growth environment.
  • A proactive, resourceful approach and the ability to navigate ambiguity while maintaining a high standard of service and attention to detail.
  • Experience supporting global internship, new graduate, or other Early Talent programs.
  • Experience leading recruiting events or high-volume hiring programs.
  • Experience establishing service standards, operating metrics, capacity plans, or quality measures.
  • Experience using recruiting and collaboration technologies such as Greenhouse, Zendesk, Google Workspace, reporting tools, workflow automation, or similar platforms.
  • Experience partnering with Recruiting Operations, HR, People Operations, or other cross-functional business teams.
  • Required
  • At least 1 year of experience leading, coaching, or managing people, with evidence of developing others and building team effectiveness.
  • Strong operational judgment and experience improving processes, managing competing priorities, and building scalable ways of working.
  • Exceptional organizational, communication, and stakeholder-management skills.
  • Demonstrated commitment to inclusive, equitable, and thoughtful candidate and employee experiences.
  • Preferred

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

  • Build an inclusive team culture grounded in accountability, continuous learning, and excellent stakeholder service.
  • Manage capacity, workload allocation, regional coverage, and development plans in partnership with Recruiting leadership.
  • Other benefits for eligible employees may include:

Company info

  • We are looking to speak to candidates who are based in New York City for our hybrid working model.
  • About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market.
  • 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.
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This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.