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Manager, Candidate Experience

MongoDB · Austin · Active · Greenhouse

Job facts

FieldValue
CompanyMongoDB
TitleManager, Candidate Experience
Normalized title-
Department / teamEarly Talent Recruiting
LocationAustin, TX, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-20 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from MongoDB.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in Early Talent Recruiting.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMongoDB
Source88998ec6-cc1d-48ba-a390-4f081dbd8e53
ATS providerGreenhouse

Description

About the Role MongoDB is looking for an individual to manage our global Candidate Experience function. In this role, you will own the end-to-end candidate experience operations across the US, EMEA, and APAC building a high-performing team of coordinators and ensuring every candidate who interacts with MongoDB leaves with a positive and lasting impression — regardless of outcome. You will be a strategic partner to the Recruiting leadership team, driving operational excellence, process standardization, and regional consistency across a distributed team. This is a people-first role for a leader who is equally passionate about scaling systems and developing talent. What You'll Do Develop and lead a globally distributed team of Candidate Experience Leads & Coordinators (CECs) across multiple regions including US, EMEA, and APAC Foster a cohesive team culture across time zones, building engagement and alignment around shared goals and values Set the vision and strategy for candidate experience globally, ensuring a consistent, high-quality, and equitable experience across all regions and hiring stages Own and evolve the candidate journey from interview scheduling through offer acceptance, identifying friction points and implementing scalable solutions Build and maintain reporting dashboards to track key metrics such as scheduling SLAs, candidate satisfaction (NPS), and coordinator productivity Consistently monitor and forecast team capacity, ensuring regional teams are appropriately staffed to meet hiring volume Partner cross-functionally to align candidate experience initiatives with broader talent strategy Drive adoption of new tools and automation to increase coordinator efficiency using AI What You'll Bring 7+ years of experience in recruiting coordination, recruiting operations, or talent acquisition, with at least 3 years in a people management role Demonstrated experience managing distributed or global teams across multiple time zones and regions Deep understanding of the candidate lifecycle and best practices for high-volume, high-quality interview experience Strong operational mindset with a track record of building scalable processes and driving measurable improvements Experience with ATS platforms (Greenhouse preferred) and scheduling tools; comfort with data and reporting Excellent communication, influencing, and stakeholder management skills — including experience working with senior recruiting and business leaders Ability to thrive in a fast-paced, ambiguous environment and manage multiple competing priorities across regions Why 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. Req ID #2273448357 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: $73,000 — $143,000 USD

Full job record

Job IDa9da740d6fb3c9cb82822b974b754e29e7daa985
Org IDe9008b6b-69b1-433e-bfca-0c10cf61e9d3
Source ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Board ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Providergreenhouse
Provider Job Key7936032
TitleManager, Candidate Experience
Normalized Title
Statusactive
Activeyes
Location TextAustin
DepartmentEarly Talent Recruiting
Team
Employment TypeFull-time
Workplace Type
Remote Policy
CountryUnited States
RegionTX
CityAustin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.mongodb.com/careers/job/?gh_jid=7936032
Apply URLhttps://www.mongodb.com/careers/job/?gh_jid=7936032
First Seen At2026-05-29 22:41:08Z
Last Seen At2026-06-06 07:33:49Z
Last Checked At2026-06-06 07:33:49Z
Last Changed At2026-06-06 07:33:49Z
Inactive At
Source Posted At2026-05-20 15:25:15Z
Source Updated At2026-06-04 18:30:04Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mongodb/date=2026-06-06/2026-06-06T07-33-48-265Z-878cefdbd2d6652aa865bfb36ccc5162b6d25126bb43ee12601adf9824216fcc.json
Event Fields
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  "last_changed_at": "2026-06-06T07:33:49.055Z",
  "active_status": "active"
}
Parsed Structured
{
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    "city": "Austin",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
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  "salary_min": null,
  "inferred_at": "2026-06-06T07:33:48.868Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
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      "city": "Austin",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
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  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
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      "name": "Team",
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      "value": "North America",
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      "value_type": "url"
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      "name": "Baseline Budgeted Salary",
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    {
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      "value": null,
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  ],
  "updated_at": "2026-06-04T14:30:04-04:00",
  "departments": [
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      "name": "Early Talent Recruiting",
      "child_ids": [],
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  "company_name": "MongoDB",
  "requisition_id": 3448357,
  "first_published": "2026-05-20T11:25:15-04:00",
  "application_deadline": null
}
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