FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Sr. Director, Responsible AI Science and Engineering
SalesforceLead 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 fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesPythonSQL
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