Palo Alto; San FranciscoNot specifiedNot specified
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Palo Alto; San Francisco
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About the role
Technical Services has over 500 team members in offices spanning the entire globe. The team operates out of 16 locations including offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, and Dublin. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions.
We have an incredible opportunity for a transformational individual to join the MongoDB Technical Services organization, leading a regional team of MongoDB Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s ‘core’ database and the Atlas cloud managed platform that enable successful customer implementations at scale.
We are looking to speak to candidates who are based in Palo Alto as this role will require working in office 3 or more days a week.
CANDIDATE PROFILE
Required
A minimum of five (5) years practical experience running a technical support team or organization, including experience coordinating high profile customer escalations, collaborating with other internal engineering departments, and working closely with sales teams
Strong people management skills with a track record of building and managing individuals with a strong focus on customer experience and technical excellence
Ability to think on your feet, remain calm under pressure, and solve problems in real-time
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
Ability to lead-by-example with strong diagnostic and troubleshooting skills
Adept at setting clear expectations for individuals to help strengthen specific skills and provide guidance for career development as well as serving the daily interrupt driven needs of a busy technical support organization
Ability to understand customer business drivers and use cases
A customer advocate who can mitigate and drive issues as appropriate
Is comfortable engaging in hiring decisions, performance management, translating company and the organization’s goals down to team and individual levels
Ability to articulate and calibrate communication style based on audience, from highly technical to executive level
Desirable
Prior work at a database company, specifically in the NoSQL space, or a similar highly concurrent distributed system used in production architectures
Born-in-the-cloud SaaS experience. IaaS or PaaS are highly desirable
Experience with modern observability, analytics, and automation tools
Experience developing KPI’s viewable in management dashboards and scorecards using analytical tools like Tableau
Exposure to AI/ML technologies: understanding of how modern AI systems interact with data platforms, vector databases, or experience supporting AI-driven applications
SUCCESS MEASURES
Within 30 days
Complete MongoDB’s new hire technical training program; be able to speak confidently about our total portfolio of products
Be able to navigate and articulate our core products at a beginner level
Build initial rapport with the team and gain their trust
Within 60 days
Understand our global follow-the-sun processes and escalation processes
Have formed relationships with escalation managers, CSMs, sales, field and engineering stakeholders
Have begun conducting regular 1 on1’s with staff as well as other managers within Technical Services
Within 90 days
Take assignment of and drive five (5) cases and 15 chats to closure to help learn our internal processes
Provide a roadmap for personal growth in the role and justify the order and prioritization
Have identified areas of efficiency for the team to scale
Able to assist with regional escalations and RCA’s when needed
Keep leadership apprised of potentially hot issues and heads-up information related to the team
At 120 days and onward
Produce a roadmap and review with your manager detailing how you will scale your technical knowledge in the product commensurate with role needs
Have an approved plan to globally drive improvement in an area of process or tooling efficiency
Conduct three (3) face-to-face interactions with marquee customers, either in-person or virtually
Produce growth plans for the team
Demonstrate the understanding of the short and long term goals of the Technical Services team and how your team is working toward those objectives
TYPICAL RESPONSIBILITIES OF THE THE TECHNICAL SERVICES ENGINEERING TEAM INCLUDE:
Becoming well-versed in core aspects of MongoDB and the Atlas managed platform
Combining technical rigor with customer empathy under pressure to help resolve a wide variety of implementation and operational issues
Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements
Educating on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution
Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues
Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team
Increasing case-deflection numbers by contributing to knowledge-base, distributing knowledge to peers and the general MongoDB community
Working on named accounts to build rapport and an in-depth understanding of customer architecture and environment(s) while encouraging expansion of use
Our customers are the best and brightest in the business and they have great expectations of our products and our company. If you are the type of person who enjoys helping customers, managing complex, fast-moving situations and leading/managing a talented group of individuals who continuously delight our customers, then this role is for you!
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, 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req. ID: 3273531836
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is: $133,000—$261,000 USD
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
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
