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About the role
MongoDB Technical Account Managers are at the forefront of technical problem solving with key customers, working on some of the most complex and exciting application ecosystems built on the MongoDB platform. TAMs combine:
Deep product knowledge and expertise across multiple domains
Polished technical communications
Strong account leadership, with the ability to engage effectively at all levels of the customer
Ability to not only proactively engage, but anticipate and preempt needs a customer may have or issues they could experience
A high degree of ownership and willingness to go above and beyond for our customers
The TAM’s primary remit is the cultivation of customer confidence and delivery of positive, account-wide technical outcomes that solve big customer problems while showcasing the capabilities of the MongoDB product portfolio. They do this through a systematic engagement process including deep discovery and the development of a roadmap of shared objectives. They are able to operate in complex environments where there may be shared or even ambiguous responsibilities between the customer and MongoDB. The TAM is able to shift gears between enabling, coaching and mentoring, and marshaling resources to get the right things done at the right time.
The TAM also acts as the eyes and ears of the product team while working with marquee customers as they will sometimes surface new requirements or potential areas of opportunity for future development. They work closely with these teams to understand these requirements, manage expectations, and ensure MongoDB is staying one step ahead of customer needs.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
This role will be an early hire into the new Technical Account Management function and will help pioneer the new service offering for MongoDB.
Successful candidates will have the flexibility to work around the schedules of customers with 100% uptime systems while enjoying the life/work balance MongoDB promotes.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
WHY MONGODB IS A FANTASTIC PLACE TO WORK AND BUILD YOUR CAREER
Be a part of the company that’s reinventing the database, focused on innovation and speed
Enjoy a fun, inspiring culture that is engineering focused
Work with exceptionally skilled people around the globe
Learn, contribute, and make a positive impact on the product and community
COOL THINGS YOU’LL DO
MongoDB is on a mission to unlock the inner genius of our customers by making data stunningly easy to work with. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help our customers succeed with MongoDB
As a Technical Account Manager, you’ll be highly engaged with a handful of our largest customers, building key relationships with technical leaders and collaborating with them on their projects to build and scale MongoDB solutions - resolving questions and demonstrating solutions related to architecture, performance, recovery, security, and everything in between
You'll be an expert resource on the best way to run MongoDB at scale, whatever that scale may be. You will identify deep dive opportunities to educate our customers on crucial topics of concern to them and either conduct those deep dives yourself or make timely connections between customers and subject matter experts within MongoDB
You will also mentor and ramp new team members, and take initiatives in building knowledge of new product lines within the MongoDB ecosystem
WHAT YOU NEED
You should have 7+ years of relevant experience. We consider all candidates, with an eye for those who combine formal education with self-teaching, are insatiably curious, and are multi-faceted
It’s crucial for every candidate to check these boxes:
Communicator:
Foster open lines of communication amongst internal stakeholders; The TAM ensures all concerned parties, including in some cases the MongoDB executive team, are well informed about accounts within the TAM’s portfolio (especially during critical or escalated situations)
Great communication and account leadership skills of external stakeholders, with a good organizational understanding of customers and ability to calibrate communication style based on the audience
The TAM must quickly understand and communicate about customer workloads, use cases, and resiliency criteria, including performance, availability, and scalability
Collaborator
Ability to work independently as well as cross-functionally to ensure customer needs are being met
Genuine desire to help people, and to increase their confidence and good will
Ability to cultivate strong team partnerships: Understanding of when and how to seek help from team members, skill in choosing from potentially conflicting perspectives or approaches; ability to secure commitments and lead collaborative efforts
Problem Solver:
Comfort thinking on your feet, solving problems in real-time, and reducing pressure and anxiety through calm, authoritative technical leadership; ability to keep your cool and project command presence during escalated situations where tensions and anxiety may be high
Ability to design, communicate, and follow a structured approach to solving complex problems based loosely upon the scientific method
Experience analyzing and pursuing issues holistically in the enterprise; spanning multiple technologies, customer teams and silos
Technical Expert
Experience building, maintaining, tuning, and troubleshooting sophisticated mission-critical production database systems
Familiarity with modern service architectures and the implications on development teams, their structures and the development lifecycle
Experience with the technologies and development patterns typical of a large-scale enterprise customer
Experience using any cloud services stack such as AWS, Azure or GCP
Builder
Develop, document, and help implement techniques, tools and procedures for optimizing MongoDB’s technical relationship with marquee customers
Product evangelism
The TAM helps customers understand how the MongoDB developer data platform is well-suited to solve a wide variety of their problems
BONUS POINTS
Experience managing large scale databases (e.g. RDBMS, NoSQL)
Extensive experience with mass scale application architectures
Microservices/Serverless architectures
CI/CD tools and approaches
Containerization, orchestration and management tools
Enterprise Identity platforms
Experience using or managing MongoDB
Experience using distributed version control systems, and in particular git
Strong systems engineering and troubleshooting experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, virtualization, clustering
SUCCESS MEASURES
In 3 months, you will have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
In 6 months, you will be confident working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
In 12 months, you will be directly and independently engaged in technical account management, ensuring customers are successful and happy with MongoDB and see our developer data platform as the de facto standard for new projects
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.
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati