Director of Product Management (Agentforce Trust & Guardrails)

Role overview

Join Salesforce as the Director of Product Management (Agentforce Trust & Guardrails). This is a senior individual contributor role focused on the product strategy for ensuring AI agents operate safely in production, especially for regulated and security-sensitive customers.

Key missions

• Own the product strategy for safe, production operation of AI agents.
• Define how Salesforce-enforced platform controls interact with customer-configurable guardrails, including guidance for production deployments.
• Drive product requirements for agentic safety patterns, including:
  • Prompt injection defense
  • Unsafe action prevention
  • Tool-use controls
  • Policy enforcement
  • Data exfiltration protection
  • Auditability
  • Human-in-the-loop controls

Responsibilities

• Partner closely with engineering, trust & safety, security, legal, field, and executives to define and evolve the platform.
• Represent Salesforce’s Agentforce trust and guardrails strategy.
• Translate customer needs and escalations into clear product requirements and scalable platform capabilities.
• Work technically with engineering teams (e.g., prototyping, writing specs, reviewing system designs, or using code/scripts to validate hypotheses).
• When needed, perform unscalable customer work to extract patterns that scale.

Requirements

• Hands-on experience with AI trust & safety and/or agentic security (e.g., prompt injection, content safety, model behavior controls, policy enforcement/guardrails).
• Strong understanding of modern AI agents, including LLMs, tools, retrieval, permissions, orchestration, memory/context, and runtime decisioning.
• Ability to collaborate cross-functionally with stakeholders across engineering, trust, security, legal, field, and executive teams while maintaining strong product judgment.
• Comfortable with technical execution alongside engineering: specs, system design reviews, and technical validation.
• 8+ years of product management experience in enterprise software, security, AI platforms, developer platforms, or regulated SaaS.
• Related technical degree required.
• Precise communication and ability to explain complex AI/security concepts to both technical and non-technical audiences.

Nice-to-haves / additional signals (from the posting)

• Experience building or managing products involving AI agents/LLM safety, content moderation, identity/security controls, policy engines, evaluations, red teaming, or enterprise governance.
• Experience in regulated industries (healthcare, financial services, public sector, telecom, critical infrastructure).
• Experience with enterprise security and deployment patterns such as OAuth, mTLS, Private Connect, private networking, tenant isolation, regional inference, or zero data retention.
• Startup / zero-to-one experience.
• Served as a bridge during high-stakes trust/safety/security/compliance escalations between strategic customers and engineering.