---
title: 'Associate, HR Shared Services at MongoDB'
canonical: 'https://feeny.ai/job/associate-hr-shared-services-mongodb-gurugram-jx3xkqdgb7xh'
type: 'job'
last_seen: '2026-09-06'
---

# Associate, HR Shared Services at MongoDB

- **Company:** MongoDB
- **Location:** Gurugram, India
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-06
- **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8173777

## Job description

The Americas HR Shared Services team comprises four members, including the team lead, and supports operations across 19 countries in the Americas region. The team manages end-to-end employee lifecycle processes, covering activities across the hire-to-retire spectrum.

Key responsibilities include payroll inputs, benefits enrolment and cancellations, reporting and reconciliations, administration of meal vouchers and transport reimbursements, handling tax-related files, and managing ad hoc documentation such as employment and visa letters. The team also supports background checks for interns, contractors, and new hires, along with onboarding, probation management, and offboarding processes.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Position Expectations

- Individual Contributor as part of the HR Shared Services team in India
- You will play a vital role in processing the backend transactions related to the General Employee Queries, Benefits, Payroll, Compensation and other crucial departments, along with making sure that the relevant SLA’s are met
- Learn and perform newly transitioned processes and over time gain subject matter expertise in the respective departments
- Adhere to and demonstrate high proficiency in agreed critical metrics & SLAs
- Assist in building and maintaining the Standard Operating Procedures for Case Management
- Deliver high quality and consistent service delivery to all internal customers and partners and follow Standard Operating Procedures
- Actively partners in the Data Management tasks like Audits, Reporting, Data Entry/Update etc

## Key Skills & Abilities

- Experience for 3+ years in HR Operations / Shared Services in an HR Shared Services role for Americas region
- Has expertise in HR Operations with eye for detail and process adherence
- Is a self-starter who is intrinsically motivated for their own performance to achieve desired results
- Can function independently, with minimal mentorship and supervision
- Open to work in a 24X7 role
- Is agile and can function in an ambiguous environment, capable of taking charge when the situation needs it
- Should be proficient with ticketing tools and should have been excellent in meeting HRSS performance parameters - case handling, etc.
- Ability to get into detailing the process and have an eye for detail to suggest process improvements
- Comfortable with working in a shift of 6PM-2AM

## 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 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.

Our compass at MongoDB is our [Leadership Commitment,](https://www.mongodb.com/company) 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](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), 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](https://www.mongodb.com/blog/channel/culture), 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 is an equal opportunities employer.

Req ID: 3273537539

## About MongoDB

## Company Overview
- **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale.
- **Entity Type**: Public (NASDAQ: MDB)
- **Headquarters**: New York, USA
- **Founded**: 2007 (as 10gen; renamed MongoDB in 2013)
- **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan

## Core Business
- **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready)
- **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications
- **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Products & Services
- **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)]
- **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support.
- **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production.
- **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform.
- **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs).

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data).
- **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)].
- **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Growth Signals**:
  - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]
  - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]
  - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]

## Competitive Advantages
- **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types.
- **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in.
- **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community.
- **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads.
- **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects.

## Strategic Focus
- **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI).
- **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)].
- **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption.

## Why Work Here
- **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)].
- **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)].
- **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos.

## Sources
1. [MongoDB Careers Page](https://www.mongodb.com/company/careers)
2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer)
3. [MongoDB Homepage](https://www.mongodb.com/)
4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)
5. [MongoDB Culture on Built In](https://builtin.com/company/mongodb/faq/culture-values)

## Other roles at MongoDB

- [Staff Product Manager, AI Builder Experience](https://feeny.ai/job/staff-product-manager-ai-builder-experience-mongodb-toronto-gs6250x3353r) — Toronto, Canada
- [Staff Product Manager, AI Builder Experience](https://feeny.ai/job/staff-product-manager-ai-builder-experience-mongodb-united-states-d9274p57fqyj) — United States
- [Senior Enterprise Account Executive, Public Sector](https://feeny.ai/job/senior-enterprise-account-executive-public-sector-mongodb-mexico-city-ezzxsf5e6g0c) — Mexico City, Mexico
- [Senior Network Engineer](https://feeny.ai/job/senior-network-engineer-mongodb-palo-alto-6tbqrzqb1212) — Palo Alto, CA
- [Senior Partner Solutions Architect (SI Partnerships)](https://feeny.ai/job/senior-partner-solutions-architect-si-partnerships-mongodb-sao-paulo-hyvwz0nvw1g8) — São Paulo, Brazil
- [Senior Partner Solutions Architect (SI Partnerships)](https://feeny.ai/job/senior-partner-solutions-architect-si-partnerships-mongodb-mexico-city-1c6mddvf14f9) — Mexico City, Mexico
- [Regional Revenue Marketing Manager](https://feeny.ai/job/regional-revenue-marketing-manager-mongodb-chicago-apxbhsq6rgkx) — Chicago, IL
- [Solutions Architect](https://feeny.ai/job/solutions-architect-mongodb-london-mm111jdq985e) — London, United Kingdom
- [Senior Consulting Engineer](https://feeny.ai/job/senior-consulting-engineer-mongodb-germany-w5ys7y26dy55) — Germany
- [Senior Financial Analyst](https://feeny.ai/job/senior-financial-analyst-mongodb-cork-b3xq8rw39whn) — Cork, Ireland / Dublin, Ireland