Lead Data Engineer — Knowledge Graph & AI

Salesforce, Inc.; San Francisco (CA); Hybrid; USD 148,500 - 260,100; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Paid parental leave

401(k) and employee stock purchasing program

Job summary

Salesforce, Inc. is seeking a Data Engineer for its Enterprise Knowledge Graph & AI team in San Francisco, California. The role involves developing and optimizing core knowledge graph components and AI frameworks, focusing on innovation and engineering excellence.

The ideal candidate will have 8+ years of experience in software engineering, with a strong background in Python and cloud-native systems. Join Salesforce and help shape the future of AI and customer success.

This position offers flexible work arrangements and a competitive salary.

Qualifications

• 8+ years of hands-on software engineering experience.
• Proven experience building applications on cloud-native systems.
• Solid experience working with graph databases and semantic web concepts.

Responsibilities

• Build and scale Salesforce's Enterprise Knowledge Graph platform components.
• Develop graph data models and construct scalable data pipelines.
• Own the technical execution of specific platform features from concept to deployment.

Skills

Expert-level coding skills in Python

Experience with graph databases

Hands-on experience with AI-assisted engineering tools

Strong fluency in object-oriented/functional programming

Experience in cloud-native systems

Education

A related technical degree

Tools

Neo4j

AWS

Python libraries for semantic routing

Job description

Salesforce, Inc. is seeking a Data Engineer for its Enterprise Knowledge Graph & AI team in San Francisco, California. The role involves developing and optimizing core knowledge graph components and AI frameworks, focusing on innovation and engineering excellence.

The ideal candidate will have 8+ years of experience in software engineering, with a strong background in Python and cloud-native systems. Join Salesforce and help shape the future of AI and customer success.

This position offers flexible work arrangements and a competitive salary.