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About the role
The Technical Services Partner Support team works closely with MongoDB partners to help ensure our mutual customer environments are healthy, stable, and successful on the MongoDB data platform. This team serves as a critical extension of Technical Services, helping partners navigate complex technical issues, accelerate resolution paths, and deliver a consistently strong support experience.
We are looking for a Manager, Technical Services Partner Support to lead a team of highly skilled technical services engineers responsible for managing partner-facing technical cases and escalations. This leader will coach and grow the team, ensure excellent operational execution, and strengthen collaboration across Technical Services, Support Delivery, Product, Engineering, Customer Success, and Partner teams.
This role is ideal for a people leader who is passionate about customer outcomes, calm execution during escalations, and building scalable support practices for a fast-growing partner ecosystem. Sufficient experience leading technical teams and functions will be considered in lieu of prior people management experience.
We are looking to speak to candidates who are based in Austin, TX for our hybrid working model.
RESPONSIBILITIES
Lead and develop a high-performing team: Manage daily operations, staffing, hiring, mentoring, and performance while fostering a culture of technical rigor, accountability, and empathy
Oversee partner support and escalations: Drive operational excellence in triage and resolution for complex, high-priority partner issues, coordinating cross-functionally across Engineering, Product, and Customer Success
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
Optimize processes and scale operations: Drive continuous improvement by identifying process gaps, refining workflows, and leveraging metrics to enhance resolution quality and partner satisfaction
Collaborate and advocate: Partner with global leadership to ensure consistent, follow-the-sun service delivery and represent the team’s interests in cross-functional forums
Drive product feedback loops: Ensure the team captures actionable trends and insights to influence Product and Engineering roadmaps
WHAT YOU’LL BRING
5+ years of experience in technical support, technical services, customer-facing engineering, or a similar function in enterprise software, SaaS, or cloud infrastructure
2+ years leading technical, customer-facing teams (or equivalent technical leadership in lieu of direct management)
Strong operational instincts, including experience with case management, escalation, prioritization, workflow design, and support process improvement
Demonstrated ability to coach and develop technical talent in a high-accountability environment
Excellent communication skills, with the ability to adapt messaging across technical practitioners, partner leaders, and internal executives
Strong customer and partner advocacy mindset, with sound judgment during high-pressure situations
Experience collaborating cross-functionally with Engineering, Product, Support, Customer Success, and field teams
A solid technical foundation in one or more of the following areas:
Database administration; Distributed systems Cloud infrastructure; Systems administration; Networking; Performance troubleshooting; Application architecture
Experience using metrics to evaluate team health, improve service quality, and guide operational decisions
NICE TO HAVE
Experience supporting or enabling ISVs, OEMs, or other technical partner ecosystems
Familiarity with MongoDB, Atlas, cloud platforms, or related infrastructure tooling
Experience with knowledge management, case deflection, and support enablement programs
Experience building processes for globally distributed or follow-the-sun support organizations
Experience presenting trends, risks, and operational recommendations to senior stakeholders
SUCCESS IN THE ROLE
Within 30 days
Build rapport with the team and understand current partner support workflows, escalation paths, and operating rhythms
Complete onboarding and develop a working understanding of MongoDB’s products, support model, and internal stakeholder landscape
Learn the current case profile, key partner motions, and major operational pain points
Within 60 days
Begin leading team operations with confidence, including case oversight, escalation coordination, and regular 1:1s
Establish strong working relationships with leaders and peers in Technical Services, Product, Engineering, Customer Success, and Partner teams
Identify near-term opportunities to improve partner case handling, communication quality, and escalation efficiency
Within 90 days
Own critical partner escalations end-to-end with strong internal coordination and executive-ready communication
Deliver a clear operational improvement plan for the Partner Support team covering process, tooling, knowledge management, or team development
Demonstrate a clear point of view on capacity, team structure, and the most important investments needed to scale the function
Beyond 90 days
Improve partner-facing support outcomes through better escalation management, stronger team coaching, and clearer operating mechanisms
Build scalable processes that improve consistency, responsiveness, and quality across the Partner Support experience
Develop the team’s technical depth and leadership bench while strengthening the role of Partner Support within the broader Technical Services organization
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, 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: 2273490298
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