GPU Kernel Compiler Engineer, AI Inference
NVIDIA
PythonPyTorch
Director, AI Talent – Employee Experience Practices
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, Illinois • 🇺🇸 United States
Visit company websiteSalary
💰 $193,800 - $281,100 per year
Job Level
Lead
About the role
- Partner to Design and Amplify Human and Agent powered Employee Experience Practices
- Partner with stakeholders to design best practices and amplify policies that ensure our AI and Agent-powered employee experiences are compliant, accessible, and aligned to our employee success best practices at each stage of the lifecycle.
- Stay abreast of the latest research, best practices, and regulatory developments in AI + Employee experience compliance, HR policy, employee relations, talent management and ethical use.
- Translate employee success principles into practical and actionable guidance around AI for technical and non-technical stakeholders across ES.
- Partner on Content Readiness, Process, and Governance Best Practices
- Partner to ensure content, data, and processes are prepared for AI transformation Collaborate through policy documents, steer-cos, and review boards
- Influence Product Roadmap and Enhancements
- Work with technical and ethical use teams on ES product roadmap
- Partner on ES product innovation to drive employee engagement and embed our values into our employee experience and workforce.
- Leverage Employee Insights to Inform Product and Workforce Innovation
- Utilize employee insights to drive impactful and responsible AI and Agent product, process, and policy enhancements.
- Thought Leadership and Narrative
- Serve as a subject matter expert and thought leader on the AI and Agent powered employee experience Amplify and drive cohesive narrative and approach to employees and agents working together in the current and future digital workforce.
- Contribute to the development of best practices and standards for responsible AI in Employee Success
Requirements
- 10+ years of progressive experience and/or advanced degree in human resources, employee policy, HR technology, AI systems, talent management, employee experience, employee relations, or a relevant field, with demonstrated leadership experience.
- Understanding of the HR tech stack (e.g. recruiting, performance management, employee analytics) and its intersection with AI use cases.
- Deep understanding of employee experience, employee relations, and/or talent management.
- Knowledge of employee relations and talent management practices, policies, and compliance.
- Proven ability to drive alignment cross-functionally teams in fast-paced environments.
- Working knowledge of responsible and compliant implementation of AI and agentic technology.
- Excellent communication, collaboration, influence, and interpersonal skills, with the ability to effectively engage and influence stakeholders at all levels.
- Strong analytical and problem-solving skills, with the ability to translate complex ethical concepts into practical solutions
- Working knowledge of AI/ML development cycles and technical guardrails, a plus
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI systemsHR technologyemployee analyticsAI/ML development cyclestalent managementemployee relationscomplianceethical use of AIpolicy developmentprocess governance
Soft skills
leadershipcommunicationcollaborationinfluenceinterpersonal skillsanalytical skillsproblem-solvingstakeholder engagementcross-functional alignmentthought leadership
