Confirm work authorization, visa sponsorship and location requirements with the employer.
About the role
The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth.
With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions.
We are looking to speak to candidates who are based in New York for our hybrid working model.
ROLE OVERVIEW
We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform.
We are looking to speak to candidates who are based in New York City, NY for our hybrid working model.
WHAT YOU’LL DO
Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations
Not specifiedBarcelona, Barcelona, SpainNot specified
🚀 Ready to launch your sales career in one of the world’s fastest-growing fintech companies? Join our high-energy team in Barcelona and help us bring smarter payment solutions to small businesses across the UK and Europe. At SumUp, we’re on a mission to empower small merchants by making payments si
Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions
Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support
Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment
Drive strong engineering practices across code quality, documentation, release management, and platform governance
Identify opportunities to improve system performance, simplify architecture, reduce technical debt, and strengthen the overall Salesforce operating model
Troubleshoot complex technical and production issues and deliver sustainable, long-term fixes
Stay current with Salesforce platform capabilities, engineering best practices, and emerging technologies, and apply them thoughtfully to improve delivery quality
Leverage AI-powered engineering tools such as GitHub Copilot, Agentforce, Claude Code, Cursor, and similar capabilities to improve productivity, code quality, troubleshooting, and documentation, while using sound judgment around security, privacy, and responsible AI usage
RESPONSIBILITIES
Develop, test, document, and deploy high-quality Salesforce solutions aligned with business needs and engineering best practices
Support enhancements, break/fix issues, and ongoing maintenance across Salesforce applications and related integrations
Investigate technical and integration issues and work closely with development, operations, admin, and business teams to resolve them effectively
Communicate clearly with stakeholders and teammates on delivery status, technical challenges, and solution options
Manage multiple priorities effectively while ensuring high-quality and timely delivery
Research new platform capabilities, prototypes, and engineering approaches that can improve the Salesforce ecosystem
Provide mentorship and technical guidance to junior engineers and administrators where needed
Build strong working relationships across teams and contribute positively to a culture of ownership, collaboration, and continuous improvement
MINIMUM REQUIREMENTS
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
8+ years of experience in Salesforce development and enterprise application engineering
Strong hands-on experience with Apex, Lightning Web Components (LWC), JavaScript, Flows, SOQL, APIs, and Salesforce platform customization
Strong understanding of Salesforce architecture, governor limits, declarative automation, integration patterns, and scalable solution design
Experience with CI/CD, deployment processes, code refactoring, and performance optimization in Salesforce environments
Experience integrating Salesforce with enterprise systems using APIs, ETL tools, and automation platforms
Salesforce Platform Developer II certification strongly preferred; additional certifications such as JavaScript Developer, Advanced Administrator, Application Architect, or System Architect are a plus
Good understanding of AI-powered and agentic development tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them effectively to improve productivity, troubleshooting, documentation, and solution delivery
SUCCESS MEASURES
In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and current implementations by working closely with senior engineers and stakeholders
In 6 months, you will: Successfully deliver one or more critical Salesforce initiatives and establish yourself as a trusted technical contributor within the Sales Apps team
In 12 months, you will: Become a go-to engineer for key Salesforce solutions, build strong cross-functional partnerships, and contribute meaningfully to the scalability, quality, and long-term evolution of the CRM platform
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: 2273466770
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: $118,000—$231,000 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
