Confirm work authorization, visa sponsorship and location requirements with the employer.
About the role
MongoDB Engagement Managers are quota-carrying Professional Services sales leaders responsible for discovering customer business initiatives, developing services strategies, scoping and negotiating engagements, and driving Professional Services bookings that accelerate customer outcomes and MongoDB adoption.
As a Services Seller Engagement Manager, you will be a key leader within the PS team, work cross-functionally with the Sales, Professional Services, and Customer Success organizations to shape how we will help our customers achieve their MongoDB vision. Top- performing Engagement Managers have a unique ability to develop multi-phased services strategies aligned to customer modernization, migration, AI, and application development initiatives, then align with both executive and technical stakeholders to build business cases, define outcomes, and secure investment in Professional Services engagements.
To learn more about the Services Seller Engagement Management role, check out these insightful blog posts: Meet a Current Engagement Manager and How Engagement Managers Help Customers Succeed.
This role will be based remotely in San Francisco, CA.
WHAT YOU’LL DO AT MONGODB
Understand customer application portfolios and identify opportunities to design delivery programs related to modernization, cloud adoption, AI enablement, and data platform transformation
Lead discovery, solutioning, estimation, and commercial negotiations to convert customer business initiatives into Professional Services bookings
Not specifiedBarcelona, Barcelona, SpainNot specified
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Collaborate as part of a larger team alongside cloud partners, strategic partners, and your MongoDB account teams to develop and execute customer success and Professional Services growth strategies
Maintain a strong sense of ownership, driving all deals or technical scopings from inception to closure
Manage the Professional Services pipeline for bookings and revenue forecasts for your region
Expertly articulate the business value of professional services, speaking knowledgeably and credibly about service delivery issues, challenges, strategies, approaches, and risk mitigation
Work with our practice team to propagate internal skills and experience through the development of repeatable assets (estimates, proposals, SOWs, templates, tools, case studies etc.)
Work with the delivery team to transition any agreed upon project scope and customer expectations to ensure successful project delivery
Proactively seek opportunities to support and mentor other team members and share best practices
Have situational awareness and react appropriately in group settings
AN IDEAL CANDIDATE WILL HAVE
Experience in Professional Services sales, consulting sales, solution consulting, or quota-carrying technology roles
A BS degree in Computer Science, Mathematics, Engineering or equivalent professional experience
A minimum of 5 years experience in the sale of Professional Services and/or technology solutions at an enterprise software company
Experience as an architect, consultant, project manager, or Professional Services manager
Experience internally positioning and selling professional services
General knowledge of databases (RDBMS, SQL, NoSQL)
Experience and knowledge of the software development lifecycle and associated development methodologies (e.g. Agile, Waterfall)
Knowledge of software architecture including both cloud and on-premise technologies e.g. AWS, GCP, Kubernetes, Open Shift
The ability to collaborate as a part of a larger account team to build and execute complex account strategies and sales plays
An ability to scope and estimate projects
Strong presentation skills: Showing the value, capabilities, and differentiators of complex service solutions using methodologies and service offerings
Willingness to travel for key engagements and team offsites
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: 1273357682
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: $105,000—$206,000 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
Not specifiedRaleigh, US, North CarolinaNot specified
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
