Senior Director, Head of AI-Native ES

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Job Category:
Employee Success

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword – it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level‑up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

To support a new AI‑Native organization within Tech & Product, we're building an equally self‑directed and agile Employee Success (ES) team. The Head of AI‑Native ES will lead this experimental team and serve as Architect (business partner) to the AI‑Native leader. This is a one‑year experiment to deconstruct legacy ES processes, abandon standard playbooks, and pioneer new ways of organizing, compensating, and evaluating AI‑native talent.

• Serve as the primary ES partner to the leadership team of a new AI‑Native org within Tech & Product
• Run the executive operating cadence: weekly ship reviews of deployed talent capabilities, monthly capability syncs, and quarterly audits
• Build the C‑suite narrative connecting talent interventions to AI product outcomes, and translate experimental activity into clear, defensible business impact

• Own the operating cadence for the AI‑Native ES team, leading product‑led pods that build, test, and incubate new HR frameworks
• Align the team's sprint cadence with the AI‑Native org's, so talent deliverables amplify product milestones
• Replace traditional SLAs with outcome‑based measures (e.g., time‑to‑value, talent throughput); sunset programs that aren't producing outsized results

• Build new talent products, then package them into standard playbooks for legacy ES to scale
• Pioneer new models of compensation, performance, and organizational design that account for both human and AI capacity
• Operate as the bridge to legacy ES, leaning on existing systems for compliance and payroll while innovating on the frontier

• Architect the AI‑Native ES function: pod structures, role profiles, and a hiring bar that blends org design, product management, and AI fluency
• Partner with engineering leaders to design AI‑native team structures, operating rhythms, and ways of working
• Treat the team's internal operations as a continuous experiment, applying the same rapid‑prototyping methods you apply to the business
• Cultivate a product‑led culture where the team is empowered to dismantle legacy processes and pivot fast when experiments fall short

• Model the behavior you're building toward. As a leader within Human Systems, you are expected to be a daily, active user of AI tools, leveraging Slack AI, Claude Code, Gemini, and Agentforce to manage your workload and orchestrate agents. You don't just advocate for AI adoption, you demonstrate it.
• Use AI to compress the intelligence cycle. Leverage AI to rapidly synthesize inputs from across the organization so you always have a current, clear picture of the talent market and team performance. The goal: faster, better‑informed decisions with less manual effort.
• Accelerate executive communications and content development. Use AI tools to draft, pressure‑test, and sharpen briefing documents, leadership narratives, and presentation materials. You set the strategic direction and voice; AI helps you move from idea to polished artifact faster than expected.
• Rethink how work gets done, not just how fast. Use AI as a lens for redesigning HR workflows from the ground up. You're not automating old work; you're experimenting with agentic workflows that reduce administrative friction to near zero and rethink who…