FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI governance, policy development, and responsible deployment practices, particularly within Salesforce AI capabilities. Proficient in risk assessment, compliance, and ethical guidelines, with a strong ability to communicate complex AI concepts to diverse stakeholders.
Highest-signal resume keywords
Salesforce AgentforceSalesforce EinsteinAI/ML Governance FrameworksData Privacy RegulationsRisk Assessment and Mitigation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI GovernanceAI Risk AssessmentPrompt EngineeringData GroundingBias MonitoringCompliance StandardsAI Audit PracticesSalesforce CRM AutomationAI EthicsData Security
Soft Skills
Cross-Functional CollaborationCommunication SkillsCuriosityRegulatory AwarenessDisciplined Learning
Tools & Technologies
Salesforce Data CloudSalesforce Trust LayerAI ToolsetsAgent Design PatternsAI Metrics
Certifications & Qualifications
Salesforce Agentforce CertificationSalesforce AI Associate CertificationSalesforce Administrator CertificationData Cloud CertificationResponsible AI Certification
Industry Keywords
GDPRCCPAEnterprise TechnologyAI Use CasesCompliance Considerations
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead AI governance, policy development, and responsible deployment practices for Salesforce AI capabilities, including Agentforce and Einstein
- Provide design leadership for AI agents and help teams deliver governed, business-ready AI solutions
- Define, document, and enforce AI governance policies, ethical guidelines, compliance expectations, and approval standards
- Review AI toolsets and agent use cases for regulatory, ethical, privacy, security, and business-process readiness
- Establish guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight
- Track evolving AI regulations, Salesforce trust guidance, and corporate policies and translate requirements into governance practices
- Create AI risk assessment templates, review checkpoints, exception processes, and remediation procedures
- Advise teams on Agentforce design patterns, topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff
- Enable responsible AI innovation from concept through governed pilots, production readiness, and measurable outcomes
- Partner with Data Cloud, Data Stewardship, Integration, Security, Legal, Compliance, Architecture, and Data teams
- Develop reusable Agentforce patterns, documentation, training materials, and playbooks
- Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures
- Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting
- Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and operating models
Requirements
What you’ll need- Knowledge of Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring
- Knowledge of Salesforce Einstein and AI-enabled CRM capabilities
- Understanding of Salesforce Data Cloud as an AI data foundation
- Experience with AI/ML governance frameworks, responsible AI principles, model/use-case risk assessment, bias monitoring, and AI audit practices
- Knowledge of data privacy regulations and compliance considerations, including GDPR, CCPA, industry-specific requirements, and enterprise security controls
- Understanding of LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design
- Experience influencing and educating cross-functional stakeholders across business, delivery, data, security, legal, compliance, and architecture teams
- Experience with risk assessment and mitigation planning
- Ability to communicate AI concepts, controls, and trade-offs to non-technical leaders and delivery teams
- Experience applying a pragmatic governance approach
- Curiosity, regulatory awareness, and disciplined learning
- Salesforce Agentforce certification
- Certification in Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI/AI ethics
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Business, Legal/Compliance, or a related field is preferred
- 3+ years of experience in AI/ML governance, data ethics, compliance, risk management, enterprise technology, or Salesforce platform leadership is preferred
- Experience defining or operating governance frameworks for AI, analytics, automation, or data-driven technology in an enterprise context
- Strong understanding of data privacy, security, compliance, auditability, and responsible AI principles
- Experience with manufacturing, industrial, commercial, service, or channel AI use cases
- Hands-on experience with Salesforce Einstein, Agentforce, Data Cloud, or CRM automation
- Formal AI ethics, responsible AI, privacy, security, or compliance certification
- Familiarity with Salesforce Trust Layer concepts, permission-aware grounding, and enterprise AI assurance practices
- Experience designing AI governance for global, matrixed organizations
Benefits
Comp & perks- Competitive benefits plans
- Variety of medical insurance plans
- Employee Assistance Program
- Employee resource groups
- Recognition programs
- Flexible time off plans
- Paid parental leave (maternal and paternal)
- Vacation leave
- Holiday leave
- Mentorship
- Training
- Leadership opportunities
- Ongoing career development
- Approximately 10-20% global travel