Application Engineer, Salesforce

The Sales & Marketing Intelligence team enables business teams across Meta products including Workplace, Audience Network, Meta Reality Labs, and Media Partnerships. The team’s processes range from prospect acquisition to optimizing customer growth. We strive in our vision to make Sales & Marketing Teams better at what they do by automating their processes, building integrations, and providing personalized recommendations.

Responsibilities

Technical ownership of projects and managing resources
Work with product managers to drive strategic value through custom applications built on Salesforce, as well as our internal software stack
Architect highly available, scalable, and secure systems
Comply with change management policies to ensure data integrity and system stability
Define and track performance metrics to measure business value and inform technical decisions
Build interfaces for complex systems and high-quality tools

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years of experience developing business applications in Salesforce, PHP, Java, C++, Python, or similar
5+ years of experience with Salesforce Web Services APIs like SOAP and REST-based Web Service APIs, the Bulk API, and the Metadata API
3+ years of experience in Visualforce/Lightning Web Components/Apex incorporating JS frameworks like React, Bootstrap or Angular Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Platform Developer II certification
Experience applying UI/UX design principles to build user-facing features or tools
Experience building on MuleSoft
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience owning projects from end-to-end
SQL experience in handling volumes of data, performance tuning
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience in understanding code bases, including API design techniques
Expertise with data management: structured and unstructured DBs, SQL and RDBMS technologies, SOA design principles
Experience building and supporting production quality software