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Salesforce

Sr. Director, Responsible AI Science and Engineering

Salesforce

Lead a team in technical Responsible AI efforts, developing automated systems for AI testing and infrastructure. Drive innovation at Salesforce with ethical AI standards.

Posted 7/13/2026full-timeSan Francisco • California, Washington • 🇺🇸 United StatesSenior💰 $218,400 - $365,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical teams focused on Responsible AI, with a strong emphasis on developing automated AI testing frameworks and building scalable infrastructure. Proficient in Python, SQL, and CI/CD pipelines, with a solid foundation in Data Science and experience in LLM-powered systems.

Highest-signal resume keywords
10+ Years In Software EngineeringHands-On Proficiency In PythonExperience Building LLM-Powered SystemsProven Track Record In Evaluation ScienceTechnical Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLCI/CD PipelinesAI Powered Coding ToolsData ScienceEvaluation ScienceAdversarial TestingAutomated AI TestingTechnical LogicRoadmap Development
Soft Skills
Team LeadershipPerformance ManagementTechnical Mentorship
Tools & Technologies
Salesforce-Scale Infrastructure
Certifications & Qualifications
Related Technical Degree
Industry Keywords
Responsible AIAI SystemsDevelopment Lifecycle

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead a team of technical Responsible AI experts
  • Develop the 18-24 month roadmap for automated AI testing
  • Build robust infrastructure for Salesforce-scale traffic
  • Establish evaluation metrics and technical logic for AI systems
  • Partner with technical teams to embed RAI into development lifecycle
  • Provide technical mentorship and manage performance

Requirements

What you’ll need
  • 10+ years in software engineering and/or AI research
  • Hands-on proficiency in Python, SQL, CI/CD pipelines, and AI powered coding tools
  • Relevant applied knowledge of Data Science
  • Experience building LLM-powered systems
  • Proven track record in evaluation science and adversarial testing
  • A related technical degree

Benefits

Comp & perks
  • time off programs
  • medical, dental, vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program