Compensation Manager, Customer
MongoDB is hiring a Compensation Manager, Customer in Atlanta, Austin and Boston, United States. It pays $87k-$171k a year and Level rates it ; you can apply on MongoDB.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Excel, Hris and compensation analysis.
- Level classifies it as a senior role.
- Level lists 365 other open roles at MongoDB.
AI in this role
Manage compensation strategy, benchmarking, and incentive plans for the customer organization as a dedicated partner.
The Compensation team serves as a strategic advisor to business leaders, managers, and employees across MDB. We use data and insights to drive value and build the tools, models, and frameworks that support sound compensation decisions. This role sits within Compensation and partners closely with the Customer organization —and with Recruiting, Finance, Sales Operations, Legal, and HR.
The Difference You Will Make
We are looking for a Compensation Partner to serve as the dedicated partner for the Customer organization. This role will support VP and Director-level leaders, and their HRBP partners as the primary day-to-day compensation resource.
The ideal candidate will be a trusted business partner and builder of compensation programs, tools, and frameworks. They will bring deep experience supporting Customer organizations, a strong understanding of various incentive plans, and the ability to partner effectively with Operations and other teams that design them. This person must be comfortable operating autonomously, influencing senior stakeholders, and navigating a fast-moving environment.
A Typical Day
- Serve as the dedicated compensation partner for the Customer organization, supporting leaders and People Partners across Customer Success, Professional Services, Technical Services and Strategic Partners teams
- Provide data-informed guidance on new-hire offers, internal equity, leveling, promotions, retention actions, and out-of-cycle requests
- Build a strong understanding of incentive plans and partner with the teams that design them to assess effectiveness and support informed compensation decisions
- Own Partners compensation-cycle execution end-to-end, including market benchmarking, budget modeling, manager enablement, and leadership rollups
- Lead competitive intelligence for Customer roles, researching compensation trends, pay practices, incentive structures, and talent movement in the evolving technology and AI landscape
- Supplement survey data with recruiting signals, offer data, sales talent trends, and other real-time market sources
- Partner with Recruiting and People Partners on market insights and competitive positioning for hires at all levels
- Analyze compensation programs using data, business results, and stakeholder feedback; recommend improvements that support growth, retention, and pay-for-performance principles
- Lead strategic projects such as incentive-plan governance, job architecture, or compensation-planning tool implementation
- Develop manager enablement materials and training on compensation philosophy and decision-making
Your Expertise
- 7+ years of compensation experience, including significant experience as a compensation business partner
- Proven track record supporting Customer orgs, with end-to-end ownership of cyclical compensation programs
- Experience supporting the implementation, administration, and communication of Sales incentive plans, with a strong understanding of how they operate
- Experience partnering with Finance and Sales Operations on incentive-plan modeling, budgeting, forecasting, attainment analysis, and reporting
- Strong knowledge of third-party survey methodologies, such as Radford and WTW, and the ability to build and validate pay structures across geographies and functions
- Strong analytical, problem-solving, communication, and executive-presenting skills
- Experience leading cross-functional initiatives in ambiguous, fast-moving environments
Preferred Experience and Skills
- Experience in both compensation business partner and program roles
- Experience supporting a high-growth technology company, preferably in a global Customer environment
- Experience with compensation-planning, incentive-compensation, and analytics tools
- Excellent written and verbal communication skills, with the ability to build relationships across distributed teams
- Highly organized, detail-oriented, and able to prioritize multiple projects with strong follow-through
- Comfortable operating at both the tactical and strategic levels and creating structure in ambiguous environments
- Experience working remotely and/or internationally with global teams
- Strong business acumen and awareness of business, technology, and market trends
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: 3273549488
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:$87,000—$171,000 USDHow we rate this
Compensation Manager, Customer at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where compensation analysis was part of your work. What did you do?
- Tell me about a project where market benchmarking was part of your work. What did you do?
- Tell me about a project where incentive planning was part of your work. What did you do?
- Tell me about a project where job architecture was part of your work. What did you do?
- Walk me through how you've used Excel in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Compensation Analysis, Market Benchmarking, Incentive Planning, Job Architecture, and Excel. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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