🚀 Director, AI Talent + Employee Experience Practices, Employee Success

About Salesforce

Salesforce helps organizations of any size reimagine their business with AI. Agentforce — the first digital labor solution for enterprises — seamlessly integrates with Customer 360 applications, Data Cloud, and Einstein AI to create a limitless workforce, bringing humans and agents together to deliver customer success on a single, trusted platform. Salesforce has 5 core values: Trust, Customer Success, Innovation, Equality and Sustainability. Beyond being a core value- Equality is how we innovate and lead. Join the Equality and Engagement team as we create equal opportunities, industry-leading talent experiences, and bring everyone along in the future of Agentforce.

About the Role

This is a leadership role within our Employee Success (HR) organization. As we lead through the biggest technology transformation of our lifetime – humans and agents working together – the nature of our workforce is changing. This pivotal role will partner cross-functionally to design practices and strategy to drive AI and Agent-powered employee experiences that are aligned to employee success best practices at each stage of the lifecycle. This is an exciting opportunity to be on the leading edge and define the future of the digital workforce.

Primary Responsibilities

• 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

Experience + Skills

• 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