Director, Product Management Agentforce Trust & Guardrails
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-10
Listing for:
100 Salesforce, Inc.
Per diem
position Listed on 2026-07-10
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AI Evaluation, AI Business & Operations, Cybersecurity
Job Description & How to Apply Below
Role Overview
As Director of Product Management for Agentforce Trust & Guardrails, you will own the product strategy for how AI agents operate safely in production, especially for regulated and security‑sensitive customers. This senior individual‑contributor role sits at the intersection of agentic AI safety, enterprise security, runtime policy enforcement, customer‑configurable controls, and regulated customer adoption.
Responsibilities- Own the Agentforce trust and guardrails product strategy across text, voice, image, tool use, data access, and emerging agent surfaces.
- Define the interaction between Salesforce‑enforced platform controls and customer‑configurable guardrails, including clear guidance for production deployments.
- Drive product requirements for agentic safety patterns such as prompt injection defense, unsafe action prevention, tool‑use controls, policy enforcement, data exfiltration protection, auditability, and human‑in‑the‑loop controls.
- Partner with engineering and security teams on runtime enforcement, evaluations, red teaming, telemetry, and safety feedback loops.
- Own the product strategy for regulated customer trust patterns, including OAuth, mTLS, Private Connect, provider‑specific trust controls, regional constraints, and related enterprise security requirements.
- Work directly with strategic customers in healthcare, financial services, telecom, public sector, and large enterprise accounts to identify blockers, validate hypotheses, and turn repeated escalations into scalable platform capabilities.
- Create field‑ready and customer‑facing clarity on what guardrails exist, how they work, what is configurable, and what Salesforce can commit to.
- Synthesize customer escalations into repeatable product patterns, roadmap priorities, launch guidance, and adoption playbooks.
- Represent Salesforce’s Agentforce trust and guardrails strategy with customers, analysts, advisory boards, executives, and cross‑functional stakeholders.
- 8+ years of product management experience in enterprise software, security, AI platforms, developer platforms, or regulated SaaS environments.
- Hands‑on experience with AI trust and safety, agentic security, prompt injection, content safety, model behavior controls, policy enforcement, or related guardrail systems.
- Understanding of modern AI agents, including LLMs, tools, retrieval, permissions, orchestration, memory/context, and runtime decisioning.
- Ability to operate technically with engineering teams and prototype, write specs, review system designs, or use code/scripts to validate hypotheses.
- Experience translating ambiguous customer escalations into clear product requirements and scalable platform capabilities.
- Skill in working across engineering, trust, security, legal, field, and customer executives while maintaining product judgment.
- Strong communication skills to explain complex AI and security concepts to technical and non‑technical audiences.
- Comfortable doing unscalable customer work when needed, with a goal of extracting patterns that scale.
- A related technical degree is required.
- Built or managed products involving AI agents, LLM safety, content moderation, identity/security controls, policy engines, evaluations, red teaming, or enterprise governance.
- Experience with regulated industries such as healthcare, financial services, public sector, telecommunications, or critical infrastructure.
- Experience with enterprise security protocols and deployment patterns such as OAuth, mTLS, Private Connect, private networking, tenant isolation, regional inference, or zero data retention.
- Startup or zero‑to‑one product experience and ability to build from first principles in a fast‑moving space.
- Served as the bridge between strategic enterprise customers and engineering teams during high‑stakes trust, safety, security, or compliance escalations.
Typical base salary range: $197,300 – $313,700 annually. In select cities within the San Francisco and New York City metropolitan areas, the range is $237,700 – $344,700 annually. Additional compensation may include bonus, equity, and benefits.
AccommodationsIf you need a reasonable accommodation during…
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