Application Engineer, Salesforce
Generate a McCoy IQ challenge in 30 seconds.
See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Key details
Job Description
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
Interested in working for companies like this one?
Answer a McCoy challenge. Companies hiring in sales see your response and reach out when they want to talk.
About 15 minutes to prepare and 5 minutes to record. Unlimited retakes and a teleprompter help you answer. No AI training, and you can delete your response anytime.
This isn't an application to Meta.
Audit details(provenance, verification trail, raw fields)
Core fields
meta:3380721448984218Provenance
metaVerification trail
This posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
LLM enrichment
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.