Salesforce

2 weeks ago

Product Management, Director, Agentforce Trust & Guardrails

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Own Agentforce trust and guardrails product strategy, ensuring AI agents operate safely in production for regulated and security-sensitive customers. Define how platform-enforced controls interact with customer-configurable guardrails, set requirements for safety patterns (prompt injection defense, policy enforcement, data exfiltration protection), and partner with engineering and security on runtime enforcement, evaluations, and telemetry. Translate escalations into scalable roadmap priorities and adoption playbooks across cross-functional stakeholders.

Location: San Francisco, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key 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 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.
•Work with strategic regulated customers to identify blockers, validate hypotheses, and turn escalations into repeatable product patterns, roadmap priorities, and adoption playbooks.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually

Perks:Health InsuranceDentalVisionPaid ParentalLife Insurance401kEquity

Key Requirements

•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, including prompt injection, content safety, model behavior controls, and policy enforcement or guardrail systems.
•Strong understanding of how modern AI agents work, including LLMs, tools, retrieval, permissions, orchestration, memory/context, and runtime decisioning.
•Ability to operate technically with engineering teams, including prototyping, writing specs, reviewing system designs, or validating hypotheses with code/scripts.
•A related technical degree required.

Experience:8+ yearsEnterprise softwareSecurityAI platformsDeveloper platformsRegulated SaaS

Skills:Cross-functional collaborationProduct judgmentTechnical communicationHypothesis validationPattern extraction

Tech Stack:LLMsOAuthMTLSPrivate Connect

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

2 weeks ago

Product Management, Director, Agentforce Trust & Guardrails

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: San Francisco, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Director level

Key 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 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.
•Work with strategic regulated customers to identify blockers, validate hypotheses, and turn escalations into repeatable product patterns, roadmap priorities, and adoption playbooks.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually

Perks:Health InsuranceDentalVisionPaid ParentalLife Insurance401kEquity

Key Requirements

•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, including prompt injection, content safety, model behavior controls, and policy enforcement or guardrail systems.
•Strong understanding of how modern AI agents work, including LLMs, tools, retrieval, permissions, orchestration, memory/context, and runtime decisioning.
•Ability to operate technically with engineering teams, including prototyping, writing specs, reviewing system designs, or validating hypotheses with code/scripts.
•A related technical degree required.

Experience:8+ yearsEnterprise softwareSecurityAI platformsDeveloper platformsRegulated SaaS

Skills:Cross-functional collaborationProduct judgmentTechnical communicationHypothesis validationPattern extraction

Tech Stack:LLMsOAuthMTLSPrivate Connect

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor