Senior Manager, Technical Services Engineering

Technical Services has global team members in offices spanning the globe including New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions. We are looking for a transformational leader to join the MongoDB Technical Services team, leading regional teams of MongoDB ‘core’ and ‘cloud’ Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s core database functionality as well as troubleshooting cloud issues to enable successful customer implementations at scale. We are looking to speak to candidates who are based in Austin, as this role will require working in our Austin office 3 or more days a week. Typical Responsibilities Diagnosing and resolving performance related issues Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements Advising 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 specific accounts to build rapport and an in-depth understanding of customer architecture and environment(s) while encouraging expansion of use Candidate Profile Required: 8+ years managing technical support or customer‑facing engineering teams, with demonstrated success scaling operations, implementing process improvements, and elevating team performance Proven track record in operational excellence: implementing metrics‑driven improvements, designing scalable workflows, and optimizing resource allocation across distributed teams Strong people development philosophy: history of coaching technical talent from individual contributors to senior engineers, with concrete examples of career progression under your leadership Deep technical foundation across multiple database technologies (relational, NoSQL, distributed systems) with hands‑on experience diagnosing complex production issues Project leadership experience: successfully led cross‑functional technical initiatives requiring coordination across engineering, product, and support organizations Exposure to AI/ML technologies: understanding of how modern AI systems interact with data platforms, vector databases, or experience supporting AI‑driven applications Ability to balance technical depth with strategic thinking—equally comfortable reviewing query execution plans and presenting operational roadmaps to executives Experience building and refining KPIs, implementing tooling improvements, and using data to drive team decisions Strong diagnostic and troubleshooting skills with ability to lead‑by‑example during critical escalations Comfort with the full people management lifecycle: hiring, performance management, succession planning, and translating organizational strategy to individual development plans Ability to calibrate communication for diverse audiences—from kernel debugging sessions to executive business reviews Desirable: Prior work at a database company, specifically in the NoSQL space, or managing support for highly concurrent distributed systems in production. Scaled SaaS customer‑facing role experience preferred Experience with modern observability, analytics, and automation tools; familiarity with how AI can enhance team operations Track record of process innovation that demonstrably improved efficiency metrics (case deflection, resolution time, customer satisfaction) Experience developing analytical dashboards using tools like Tableau, or implementing data‑driven approaches to operational planning Success Measures Within 30 days: Complete MongoDB’s new hire technical training program; be able to speak confidently about our total portfolio of products 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 on 1s with your teams as well as other managers within Technical Services and across the business Within 90 days: Take assignment of and drive five (5) cases to closure to learn our internal processes Have identified areas of efficiency for the team to scale Effectively lead regional escalations and RCA’s when needed At 120 days and onward: Present a comprehensive operational improvement plan addressing at least two areas: process efficiency, tooling gaps, knowledge management, or team development frameworks Conduct three (3) face‑to‑face interactions with marquee customers, either in‑person or virtually Demonstrate the understanding of the short and long term goals of the Technical Services team and how your team is working toward those objectives 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. 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. Compensation MongoDB’s base salary range for this role in the U.S. is:

$140,000 – $275,000 USD

Other Information Req ID: View phone number on click.appcast.io #J-18808-Ljbffr The Consulting Solutions