Senior Manager (or Manager), Premium Services

AlleyCorp; Palo Alto (CA); On-site; USD 140,000 - 275,000; Full time

Benefits offered by this job

Flexible paid time off

401(k) plan

Mental health counseling

Job summary

AlleyCorp in Palo Alto, CA is seeking a visionary leader for the MongoDB Technical Services team to oversee support engineers. The ideal candidate will have over 8 years of experience managing technical support teams, with a strong focus on operational excellence, people development, and customer satisfaction.

This hybrid role requires deep technical expertise across database technologies and the ability to communicate effectively with diverse audiences. Salary range is competitive, reflecting skills and experience.

Qualifications

• 8+ years managing technical support or customer-facing engineering teams.
• Proven track record in operational excellence with metrics-driven improvements.
• Strong people development philosophy with history of coaching talent.

Responsibilities

• Diagnosing and resolving performance issues in cloud environments.
• Advising on architectural design ensuring high availability.
• Building strong account relationships with key customers.

Skills

Operational excellence

People development

Database technologies

Project leadership

AI/ML technologies

Communication skills

Job description

Technical Services operates with a global footprint, maintaining a presence in key cities such as New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Our commitment to exceptional customer satisfaction is underpinned by a 24x7x365 'follow-the-sun' support strategy, executed by dedicated regional teams across the Americas, EMEA, and APAC.

We are seeking a visionary leader to join the MongoDB Technical Services organization to oversee regional teams of MongoDB Premium Services Support Engineers. These specialists possess deep expertise in resolving challenges related to core database functionality and troubleshooting complex cloud environments to facilitate high-scale customer success.

For this hybrid role, we are specifically interested in meeting candidates located in Palo Alto, CA or San Francisco, CA.

Core Responsibilities of the Team

• Diagnosing and resolving performance issues: Identifying, troubleshooting, and fixing performance-related bottlenecks
• Advising on design and architecture: Providing technical guidance on architectural design, including replication and global data distribution, to ensure low latency, high availability, and compliance with data sovereignty requirements
• Serving as a customer advocate: Advising on upcoming roadmap features and articulating strong business cases to drive the swift resolution of critical issues
• Engaging in global collaboration: Partnering with regional peer teams and sharing account context to anticipate client needs before an event, ensuring a seamless and elevated level of global service
• Fostering a culture of continuous learning: Growing technical skills through training participation, maintaining industry awareness, and developing specialized internal training to share subject matter expertise more broadly across the team
• Enhancing case-deflection strategies: Increasing case-deflection numbers by regularly contributing to the knowledge base, distributing technical insights to peers, and sharing knowledge with the broader MongoDB community
• Building strong account relationships: Working with specific key accounts to build rapport, establish deep partnerships, and gain an in-depth understanding of unique customer architectures and environments while actively encouraging the expansion of MongoDB usage

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!

Candidate Profile

Required Experience

• 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

Desired Experience

• 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 on1’s 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 RCAs 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

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, and access to transgender-inclusive health insurance coverage.

MongoDB’s base salary range for this role in the U.S. is: $140,000 — $275,000 USD

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: 2273464421