--- title: 'Senior Associate, HR Shared Services at MongoDB' canonical: 'https://feeny.ai/job/senior-associate-hr-shared-services-mongodb-gurugram-pegaa0d1vw36' type: 'job' last_seen: '2026-09-06' --- # Senior Associate, HR Shared Services at MongoDB - **Company:** MongoDB - **Location:** Gurugram, India - **Posted:** 2026-08-19 - **Last confirmed live:** 2026-09-06 - **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8128617 ## Job description The HR Shared Services Compensation operations senior associate combines analytical rigour with a service-orientated mindset. They will be comfortable working in the details of HR systems and cases while also understanding the broader impact of compensation data and decisions on employees, managers, payroll, reporting, and business operations. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. ## Key Responsibilities - You will play a vital role in processing the backend transactions related to general compensation questions or tasks, along with making sure that the relevant SLA’s are met - Review and process requests related to job architecture, job codes, career levels, compensation tiers, pay ranges, compa-ratio, salary positioning, bonus eligibility, and other compensation-related fields in the HRIS - Pull ad hoc compensation reports, review data for accuracy and completeness, and help summarize basic findings for the compensation team and business partners - Assist with program documentation, supporting records, data integrity, audit readiness, and compliance materials - Partner with Compensation, HR Business Partners, Recruiting, Payroll, HRIS, Finance, and regional People Teams to investigate issues, resolve discrepancies, and coordinate end-to-end completion of transactions - Adhere to and demonstrate high proficiency in agreed critical metrics & SLAs - Create, maintain, and improve standard operating procedures, knowledge articles, checklists, process maps, and case-handling guidance for compensation processes - Perform data validation, reconciliation, and quality-control checks across SuccessFactors, case-management tools, payroll inputs, compensation planning files, and downstream reporting systems Expected Skills - Experience for 4+ years in HR Operations / Shared Services in an HR Shared Services role (EMEA and Americas) - Strong Excel or spreadsheet skills, including data validation, lookups, filters, pivot tables, reconciliation, and basic analysis - A continuous-improvement mindset, with the ability to identify patterns, diagnose process issues, and translate observations into practical improvements - Can function independently, with minimal mentorship and supervision - Working knowledge of compensation concepts, including salary ranges, market positioning, comp ratio, job architecture, pay changes, promotions, merit, bonus, and compensation data governance - Should be proficient with HRMS and ticketing tools such as Zendesk, SuccessFactors, and should have been excellent in meeting HRSS performance parameters - case handling, etc ## 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,](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: 3273519991 ## 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 - [Associate, HR Shared Services](https://feeny.ai/job/associate-hr-shared-services-mongodb-gurugram-jx3xkqdgb7xh) — Gurugram, India - [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