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Senior Product Manager, Atlas Agent Engine

MongoDB

Gurugram, Haryana

Full-time

Posted today

Senior Data Analyst

MongoDB

Gurugram, Haryana

Full-time

This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business.

Posted today

Forward Deployed Architect, Industry Solutions

MongoDB

Gurugram, Haryana

Full-time8–5+ yrs

MongoDB is the modern database platform and consistently voted the #1 most wanted database, preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software.

Posted today

Associate, HR Shared Services

MongoDB

Gurugram, Haryana

Full-time

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.

Posted today

Staff Analyst

MongoDB

Gurugram, Haryana

Full-time6–5+ yrs

The Central Sales Analytics team at MongoDB sits at the center of how we understand and improve the performance of our revenue engine. While this role is rooted in Sales Analytics, its scope is broader and spans key parts of the GTM organization. This team partners closely with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and other cross-functional stakeholders to drive data-informed decisions across pipeline, productivity, forecasting, product adoption, and overall business performance.

Posted today

Engineer 3 - Business Systems

MongoDB

Gurugram, Haryana

Full-time6–5+ yrs

The CRM Technologies team builds, scales, and operates Salesforce-based solutions that power MongoDB’s customer lifecycle, from marketing engagement and lead management through sales execution, account management, renewals, reporting, and downstream operational workflows.

Posted today

Associate, HR Shared Services

MongoDB

Gurugram, Haryana

Full-time3–4 yrs

The HR Shared Services team comprises four members, including the team lead, and supports benefits operations across 24 countries across the globe. The team manages end-to-end employee lifecycle processes, covering activities across the hire-to-retire spectrum.

Posted today

Director of Global Security Operations

MongoDB

Gurugram, Haryana

Full-time12–5+ yrs

MongoDB's Global Security Organization (GSO) is looking for a Director of Global Security Operations to build and lead GSO's first dedicated team in India. This is a foundational leadership role: your first mandate is to stand up a 20-person team from scratch.

Posted today

Software Engineer 3 - Enterprise Architecture

MongoDB

Gurugram, Haryana

Full-time2–5 yrs

MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities.

Posted today

Specialist, Sales Performance

MongoDB

Gurugram, Haryana

Full-time3–4 yrs

MongoDB continues to grow incredibly fast. This is the perfect opportunity to have a positive impact at a hyper-growth company. In this high impact role, you will work closely with executives and internal functions including Sales, Sales Operations, Sales Analytics, Deal Desk, Business Systems, Finance and Accounting, and HR to improve and establish processes and systems for our next stage of growth.

Posted today

Senior Engineer - Enterprise Architecture

MongoDB

Gurugram, Haryana

Full-time6–5+ yrs

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

Posted today

Sales Support Associate

MongoDB

Gurugram, Haryana

Full-time5–5+ yrs

The SalesOps Associate provides front line support to our rapidly growing sales organization, including answering inquiries, maintaining data health, performing research and working on tasks that enable Account Executives to take data driven decisions, and maintaining the health of our sales tools and systems.

Posted today

Technical Services Engineer

MongoDB

Gurugram, Haryana

Full-time5–5+ yrs

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

Posted today

Software Engineer 3

MongoDB

Gurugram, Haryana

Full-time3–4 yrs

The Application Modernization Platform (AMP) team is dedicated to solving one of the industry's biggest challenges: transforming rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures on MongoDB. To accelerate this transition, MongoDB is building a dedicated Platform and Infrastructure team to develop the Application Modernisation Platform and Infrastructure . As we help customers modernize their application and data ecosystems, we face the challenge of deploying complex tooling into highly restrictive client environments and architecting automated verification frameworks to ensure data equivalence.

Posted today

Senior Software Engineer, AI Builder Experience (ABX)

MongoDB

Gurugram, Haryana

Full-time7–5+ yrs

AI agents are transforming the way developers interact with software - and databases are no exception. We're seeking a Senior Software Engineer to join our AI Interfaces team within AI Builder Experience (ABX), where you'll provide technical direction, shape architecture, and build the core products that make it seamless for developers and AI agents to work with MongoDB. Our team owns the surfaces through which humans and agents connect to MongoDB - including the MongoDB MCP Server, Agent Skills, our Intelligent Assistant Platform, and purpose-built agents. In short: if it's how an agent talks to MongoDB, we're building it.

Posted today

Senior Product Manager, Atlas Agent Engine

MongoDB · Gurugram, Haryana

Full-timeIT / Software

Posted today

Job description

We're building a new product team in India to help shape how customers build, deploy, and operate AI applications on MongoDB. This is an early hire on a growing team—you'll join while the team is still taking shape, with the opportunity to have real impact from the start. You'll report to a Director of Product Management based in Europe, working async-first with partners across India, EMEA, and North America. The engineering team in India is being built in parallel, so you'll be working closely with engineers from the early days of the team. We are looking to speak to candidates based in Gurugram for our hybrid working model. What you'll own You'll be the end-to-end owner for a core area of our AI application platform—from discovery and vision through roadmap, delivery, and iteration. This is a senior individual contributor role where you lead through ownership, expertise, and cross-functional influence. Day to day, that means • Defining product strategy and roadmap for your area, aligned with MongoDB's broader AI strategy and business goals • Talking to customers — from AI-native startups to large enterprises — to understand how they build and deploy AI applications, where they struggle, and what MongoDB should do about it • Writing clear product narratives, memos, and specs that align stakeholders, clarify trade-offs, to guide conversations with engineering, design, product marketing, etc • Partnering with cross-functional stakeholders—including Engineering, Design, Product Marketing, Partners, Sales, and Developer Relations—to scope, prioritize, and ship, balancing experimentation with reliability and scale, and driving positioning, launches, and enablement • Identifying new opportunities autonomously—spotting gaps, shaping problem spaces, researching industry trends and running discovery sessions with customers • Define and own clear success metrics for your area and use them to prioritize, make trade-offs and communicate impact You'll develop deep expertise in how companies build AI applications — including agentic workflows, retrieval and memory, evaluation, observability, and deployment patterns. How we work • Async-first. Documentation and written communication are how decisions travel across time zones • Sync when it makes sense. When we need to discuss something live, we hop on a call to unbundle issues together. • In-person when it matters. The team gets together periodically for planning, relationship-building, and the kind of work that's better done face to face What you'll bring • 5+ years in product management (or equivalent) building platforms, infrastructure, or developer-facing products — ideally in cloud, data, or AI • Proven end-to-end ownership of a product area: from framing the problem and vision through roadmap, execution, launch, and iteration • Customer obsession: you're comfortable running discovery calls, digging into workflows, and turning messy feedback into clear product decisions • Strong written and live communication: clear docs, productive meetings, confident stakeholder presentations. This matters more in an async, distributed team — writing is how you lead • Technical depth sufficient to collaborate with senior engineers on distributed systems, cloud services, and AI/ML tooling, and to ask good questions when something is unclear • Curiosity about AI: you follow how companies are building AI applications — agents, orchestration frameworks, RAG, fine-tuning, or other emerging patterns • Comfort with ambiguity: you help define the problem, the success metrics, and the path forward. In an early-stage team, this is the job Bonus points • Experience building developer tools, AI platforms, or MLOps/LLMOps products • Engineering background or deep experience partnering with engineering on technical products • Experience with enterprise customers on mission-critical workloads • Comfort using AI tools (e.g., Claude, Gemini, Figma Make) to move faster and amplify impact How we'll measure success (30/60/90 days) We need someone who can onboard quickly and start driving impact early. In your first 30 days, you will: • Ramp up on MongoDB products, AI application patterns, and how our teams work • Shadow customer calls and internal forums to learn current strategy, open questions, and key stakeholders • Produce a clear written overview of your product area: current state, key bets, and known gaps By 60 days, you will • Take ownership of a set of customer relationships and run your own discovery conversations each week • Own and socialize an initial strategy and roadmap proposal for your area, with clear problem statements and success metrics • Partner with engineering and design to shape and drive at least one scoped initiative into execution By 90 days, you will • Be the go-to owner for your product area, driving prioritization and day-to-day decision-making across functions • Lead customer- and data-informed iterations on what you’ve shipped, adjusting the roadmap based on what you’re learning • Contribute to the broader AI application platform strategy with perspectives from your domain, customers, and the field Why this role MongoDB is one of the most widely adopted database platforms in the world, used by tens of thousands of customers — including much of the Fortune 100 and a fast-growing set of AI-native startups. Our cloud platform, Atlas, runs across AWS, Google Cloud, and Azure. This role puts you at the center of how MongoDB powers AI applications at scale. You’ll own a critical slice of that story, from strategy through delivery and adoption. 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, 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. MongoDB is an equal opportunities employer. Req ID- 2273506592