Your Role

We’re looking for an Engineering Manager to join our first product teams in Mumbai. You’ll be improving the operations of our internal team of sports analysts across Hudl Assist, Wyscout, InStat and Volleymetrics products. These products are used by thousands of teams around the world, from youth clubs to the pros. 

Example projects might include:

• Improving the tools used to deliver training to sports analysts
• Instrumenting our processes to facilitate continuous improvement for our operations team
• Iterating on manual data collection workflows to improve speed and accuracy
• Automating workflows using AI/ML, reducing manual effort, and improving scalability of our data pipelines

As an Engineering Manager, you’ll

• Be responsible for a diverse team. You’ll support your Engineers as they develop, test and maintain technical solutions. You’ll be a working manager, expected to balance management responsibilities with code contributions to ensure the team meets its commitments and delivers business impact.
• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver product improvements for our customers. With our global team, these team members and stakeholders are located all over the world—so you may need to work evenings occasionally.
• Help improve analysis. You’ll work to improve training tools, processes and manual data collection workflows used by our sports analysts to improve their speed and accuracy.
• Automation & AI/ML. You’ll also play a key role in evolving our workflows through automation and AI/ML, helping reduce manual effort and improve scalability across our operations"

This role requires 4 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Mumbai.

Must-Haves

• Formal management experience. You have multiple years of experience managing Software Engineers and know how to guide teams to deliver business impact. You’ve taken the lead on tackling ambiguous technical challenges, proposing solutions to upcoming problems, and providing technical input on others’ work.
• Experience in mature, full-stack web applications. You’ve spent several years in a role, or roles, that had you building across all levels of a web application, from the client-side code, all the way down to the database. You have a professional background in TypeScript, React, GraphQL, C#, Java, PHP, MongoDB, MySQL and/or AWS
• English language proficiency. You have strong verbal and written communication skills. 
• Flexible schedule. We strive to maintain a healthy work-life balance, but in this role, it’s necessary to overlap your schedule with stakeholders and collaborators across time zones.

 Nice-to-Haves

• Experience working with AI/ML systems, particularly in applying models to automate workflows or process large datasets

Our Role

• Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., national and public holidays and timeout (meeting-free) days) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas.
• Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. We'll also provide you the tech stack and hardware to do your best work.
• Cover your medical insurance. Comprehensive medical insurance for employees, with partial reimbursement available for dependent coverage.
• Retiral benefits. We offer a Provident Fund and Gratuity.

We like to say, “Come to MongoDB and get your Masters in Sales” where we spend 7x the industry average on rep enablement. We’re investing in ways to not only attract, hire, and develop top talent but also ensure our Account Executives are set up for long-term success on their individual career paths.

Come & join our team and be at the forefront of what we believe is the perfect blend of career opportunity, innovative technology, and top-tier enablement! 

We are looking to speak to candidates who are based in the Bengaluru, Gurugram or Mumbai office for our hybrid working model.

The Opportunity

We’re looking for reps that are hungry to sell into the next up-and-coming companies in India that are disruptive within their respective industries. We have over 200M downloads and work with innovative corporate companies like Zepto, Ubuy, SonyLIV, Zomato, Canara HSBC Life and others that are leveraging our technology every single day. 

According to the IDC, there are over 500 million new applications being built over the next 5 years and you would be tasked with landing a high volume of those quality new logos. 

Primarily selling the MongoDB Atlas platform, the most advanced cloud database service on the market, you have the opportunity to directly influence MongoDB’s upward growth trajectory.

Day to Day

• Cultivate sales through outbound prospecting and inbound leads
• Meeting customers in-field and closing deals 
• Prospect into CTOs, Engineering/IT leaders, and technical end users
• Meet and exceed individual monthly, quarterly, and annual Quarterly targets
• Manage the full sales cycle for both Atlas and Professional Services
• Manage a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach
• Handle quote creation and order processing
• Collaborate with the Sales ecosystem like Marketing, Account Development, Solutions Architects, and others.

What you bring to the table

• 5 years to 20 years of experience in a full sales cycle role (we have different roles for varying levels of experience)
• Bachelors in Engineering/Bachelor of Technology preferred
• Experience working with Strategic/Named/Enterprise Accounts, Government and PSU customers or Digital Natives/Startups
• Demonstrated ability to open new accounts and run a complex sales process
• Familiarity with software, database, infrastructure, or open source technology a plus (NOT a pre-requisite)
• Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
• Excellent presentation, verbal, and written communication skills
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) a plus

Why You Should Apply

• As we move toward an AI-driven era by 2030, MongoDB is uniquely positioned to power modern AI applications with the flexibility and scale required to manage unstructured data.
• We are leading the charge when it comes to the intersection of product-led growth and sales-led execution
• Great earning potential 
• Restricted stock options for new hires and a competitive Employee Stock Purchasing Program 
• Welcoming and inclusive workplace - Meet MongoDB’s Employee Affinity Groups! Find out more here.
• Continuous career development
• Sales training in MEDDPICC and Command of the Message
• MongoDB Onboarding Sales Bootcamp
• Internal mentor and buddy programs

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 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.

MongoDB is an equal opportunities employer.

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram  near an airport that will enable them to easily visit customer sites in APAC.

This role can be based remotely in Bengaluru, Mumbai or Gurugram.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

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 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 nearly 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.

MongoDB is an equal opportunities employer.

Req ID: 426250

What You’ll Do

• Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases
• Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration
• Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability
• Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations 

What We’re Looking For

• 1–3 years experience in backend / data / AI engineering
• Strong in Python + SQL
• Experience or exposure to LLMs, RAG, or prompt engineering
• High ownership, ability to work in ambiguity and ship fast
• Comfortable working with customers and cross-functional teams

Preferred Qualification

• B.Tech, BE, or M.Tech in Computer Science or a related discipline, with 1–3 years of relevant experience

Bonus

• Experience with production LLM systems / AI agents
• Familiarity with evaluation, agent tooling, or voice AI
• Experience with Databricks, MongoDB, or distributed systems
• Startup or customer-facing engineering experience

Why This Role

• Work on real production AI systems (not demos)
• End-to-end ownership and fast iteration cycles
• Direct impact on enterprise customers and business outcomes

Mode of Work - In-Office

We are building PIE (Prodigal Intelligence Engine) - the specialized intelligence layer that transforms AI agents from conversational interfaces into truly intelligent decision-makers. We're building the brain that makes agents understand context, make compliant decisions, and deliver personalized experiences at scale. Read more about PIE here

About the role

As a Senior Software Engineer on the Platform team, you'll architect the systems that power PIE - unifying siloed data sources across CRMs, lending systems, dialers, and communication channels into a unified intelligence layer. You're building infrastructure that doesn't just handle data at scale, but extracts meaning from it, enabling AI agents to make contextually intelligent, compliant decisions in real-time.

This isn't incremental improvement - it's foundational work toward an agentic future where specialized AI agents collaborate autonomously to manage entire collections operations. The systems you build today become the backbone of tomorrow's agentic workforce.

What you'll do

• Design and build the distributed systems infrastructure that powers PIE, processing millions of consumer interactions daily while maintaining sub-100ms response times for real-time agent decision-making
• Build robust data unification pipelines that reconcile and synthesize information across heterogeneous systems (CRMs, LMS platforms, dialers, communication channels) into coherent, actionable intelligence
• Create scalable platforms that can ingest, process, and serve insights from 500+ consumer attributes while supporting complex regulatory and compliance requirements
• Own end-to-end architecture and implementation - from high-level system design through production deployment and operational excellence
• Write production-grade code in Python, Golang, and Node.js that balances performance, maintainability, and speed of iteration
• Conduct rigorous code reviews, tackle complex distributed systems bugs, and take ownership of high-risk technical challenges
• Build comprehensive testing strategies spanning unit, integration, and regression capabilities to ensure reliability at scale
• Implement sophisticated monitoring, observability, and troubleshooting capabilities for complex distributed systems
• Drive improvements in key technical metrics: system availability, data freshness, query performance, and cost efficiency
• Partner with ML teams to build infrastructure that supports model training, inference, and continuous learning loops
• Influence technical direction and architectural decisions that span multiple teams and projects
• Mentor junior engineers through code reviews, architectural discussions, and collaborative problem-solving
• Champion engineering best practices, documentation standards, and operational excellence across the platform team

✅ Requirements

• B.Tech./BE/M.Tech Equivalent in Computer Science or relevant education
• 4+ years architecting and building high-throughput, distributed data platforms that process millions of events daily
• Strong hands-on expertise with NoSQL & SQL databases (MongoDB, DynamoDB, PostgreSQL) and modern data warehouses (Redshift, Snowflake, Databricks BigQuery)
• Deep experience building scalable, secure, highly available software that operates reliably under production load
• Proficiency with AWS services, containerization (Docker/Kubernetes), and modern DevOps practices
• Expertise in observability and monitoring tools (Sentry, CloudWatch, Prometheus, ELK) for troubleshooting production systems
• Strong expertise in troubleshooting complex production issues.
• Good problem solving, critical thinking, and communication skills. Should be able to find the right balance between perfection and speed of execution
• Self-starter and self-learner, who never settles
• Comfortable working in a fast paced environment while continuously evaluating emerging technologies
• Bonus: Foundational knowledge of Machine Learning and AI systems - understanding how models are trained, served, and integrated into production applications
• Bonus: Experience building platforms that power real-time AI/ML workloads or agentic systems

⚙️ Our Tech Stack

• Languages & Frameworks: Python, Golang, Node.js
• Databases: MongoDB, PostgreSQL, Databricks
• Infrastructure: AWS (EKS, EC2, Lambda), Kubernetes, Docker
• GenAI Tooling: Cursor, Claude code, and all other leading AI dev tools 

Mode of Work - In-Office (Powai, Mumbai)

What we offer

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani).