Application Engineer, Salesforce

Summary:

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.

Required Skills:

Application Engineer, Salesforce Responsibilities:

1. Technical ownership of projects and managing resources

2. Work with product managers to drive strategic value through custom applications built on Salesforce, as well as our internal software stack

3. Architect highly available, scalable, and secure systems

4. Comply with change management policies to ensure data integrity and system stability

5. Define and track performance metrics to measure business value and inform technical decisions

6. Build interfaces for complex systems and high-quality tools

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

3. 5+ years of experience developing business applications in Salesforce, PHP, Java, C++, Python, or similar

4. 5+ years of experience with Salesforce Web Services APIs like SOAP and REST-based Web Service APIs, the Bulk API, and the Metadata API

5. 3+ years of experience in Visualforce/Lightning Web Components/Apex incorporating JS frameworks like React, Bootstrap or Angular

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. Platform Developer II certification

5. Experience applying UI/UX design principles to build user-facing features or tools

6. Experience building on MuleSoft

7. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

8. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

9. Experience owning projects from end-to-end

10. SQL experience in handling volumes of data, performance tuning

11. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

12. Experience in understanding code bases, including API design techniques

13. Expertise with data management: structured and unstructured DBs, SQL and RDBMS technologies, SOA design principles

14. Experience building and supporting production quality software

Public Compensation:

$145,000/year to $202,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].