Customer Advocate, Core Products, Office of the CPO
Austin; Chicago; New York City; United States; Washington DCNot specifiedNot specified
Salary not listed
AWS
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Austin; Chicago; New York City; United States; Washington DC
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About the role
This is a high-impact strategic role that serves as the voice of MongoDB's most important customers at the executive level. The Customer Advocate, Core Products will act as a trusted advisor to the Chief Product Officer, driving cross-functional alignment to ensure that customer feedback, escalations, and long-term success are deeply embedded in MongoDB's core product strategy.
This role is critical to bridging the gap between our customers' most pressing challenges and the product roadmap. You will partner with product leadership, engineering, sales, and customer success to identify patterns in customer experience, surface strategic opportunities, and ensure MongoDB's core products continuously evolve to meet the needs of our highest-value customers and partners.
You will operate with visibility and influence at the highest levels of the organization, serving as a strategic partner who elevates the customer's voice in executive decision-making and product development priorities.
This role can be based out of any MongoDB U.S. office or remotely within the United States
ROLE RESPONSIBILITIES
Serve as the primary strategic liaison between MongoDB's core product organization and its most important customers, ensuring their needs are heard, prioritized, acted upon, and ultimately addressed.
Develop and execute a forward-looking customer advocacy strategy in collaboration with the CPO and senior product leadership
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Build and maintain deep relationships with executive stakeholders at strategic customer accounts, acting as their trusted partner and escalation point for core product concerns
Drive an effective, structured process for customer engagement — from initial qualification and discovery through executive narrative development, action tracking, and closed-loop follow-up
Partner closely with Product, Engineering, Sales, and Customer Success to surface high-signal customer feedback and translate it into actionable product insights and roadmap influence
Lead preparation for and participate in executive customer meetings — shaping the narrative, representing product commitments, and ensuring clarity on follow-up actions and accountability
Establish a deep, technical fluency in MongoDB's core product portfolio to credibly represent product capabilities and limitations in customer conversations
Define and track key success measures for the CPO's customer engagement motion, including quarterly analysis of outcomes and areas for improvement
Contribute to the development and scaling of best practices in customer engagement across the organization, elevating the standard for how MongoDB partners with its most strategic accounts
Leverage AI tools and data-driven insights to identify trends across customer interactions, proactively surface risk or opportunity, and inform executive prioritization
ROLE REQUIREMENTS
10+ years of work experience, or 8+ years ideally in SaaS product management, consulting, enterprise sales strategy, or customer success leadership
MBA or advanced degree preferred
Sharp business judgment with the ability to see the big picture while also driving disciplined execution on the details; strong instinct for prioritization in high-ambiguity environments
Demonstrated success influencing product direction through customer advocacy, executive engagement, or voice-of-customer programs at scale
Executive presence — exceptional verbal and written communication skills, with the ability to craft and deliver compelling narratives for both technical and non-technical audiences at the C-suite level
Proven ability to drive cross-functional alignment and resolve conflict across diverse stakeholder groups, including Engineering, Product, Sales, Legal, and Customer Success
Deep problem-solver mindset with a track record of understanding and fulfilling complex customer needs, including translating ambiguous feedback into clear, actionable product signals
Experience working in or alongside a product organization, with sufficient technical fluency to engage credibly on platform capabilities, integrations, and roadmap tradeoffs
Demonstrated exceptional learning agility — able to rapidly internalize new product domains, market dynamics, and customer contexts
Experience leveraging AI tools and analytical platforms (Tableau, Salesforce, or equivalents) to derive insights from customer data and support decision-making
High energy, strong work ethic, and disciplined execution skills with the ability to thrive in a fast-paced, dynamic environment managing multiple high-priority engagements simultaneously and have the ability to drive urgency with each one
Comfort with ambiguity and organizational change; action-oriented and adaptable
Willingness to travel for customer and partner meetings, up to 50% of the time
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: 3273518071
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: $129,000—$253,000 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