Product Manager, Agentforce & AI Platforms

HireLifeScience

East Hanover (NJ)

Hybrid

USD 130,000 - 170,000

Full time

3 days ago
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Job summary

HireLifeScience seeks a Product Manager for Agentforce to own the enterprise capability roadmap and backlog for governed AI agents leveraging Data 360 as a trusted context layer. You will manage intake, define reusable patterns, coordinate Data Cloud dependencies, and partner with AI governance to ensure responsible deployment across marketing, sales, and future areas.

The ideal candidate has 5+ years in product management with AI, CRM, or enterprise SaaS, strong stakeholder collaboration, and

Qualifications

  • 5+ years of product management, AI product, CRM platform, automation, data platform, or enterprise SaaS experience.
  • Hands-on knowledge of Salesforce Data Cloud and Agentforce or comparable enterprise AI and customer data platforms.
  • Demonstrated ability to manage an agile roadmap and backlog across business, Data Cloud, architecture, engineering, security, privacy, and AI governance stakeholders.
  • Fluent English; other languages desirable.

Responsibilities

  • Manage Agentforce intake: Receive and qualify requests for Agentforce capabilities leveraging Data 360.
  • Set capability strategy and roadmap for Agentforce across initial marketing and sales use cases.
  • Prioritize enterprise demand using value, governance, data availability, and delivery capacity.
  • Own and refine the backlog into epics, features, and user stories for Agentforce.
  • Define governed context patterns in collaboration with Data Cloud teams.
  • Coordinate PI planning with Data Cloud, architecture, engineering, security, privacy, and AI governance.
  • Embed responsible AI governance with Nova OS and DDIT AI Governance.
  • Lead delivery with Center of Excellence to design, build, test, release, and support Agentforce capabilities.
  • Validate quality and safety with acceptance criteria for grounding, access control, reliability, and escalation.
  • Drive adoption with training and operations teams; capture feedback and evidence for improvement.

Skills

Product management
AI product
CRM platform
Data platform
Enterprise SaaS
Agile backlog
Stakeholder management
Communication

Education

Bachelor's degree
Advanced degree preferred

Tools

Salesforce Data Cloud

Job description

HireLifeScience seeks a Product Manager for Agentforce to own the enterprise capability roadmap and backlog for governed AI agents leveraging Data 360 as a trusted context layer. You will manage intake, define reusable patterns, coordinate Data Cloud dependencies, and partner with AI governance to ensure responsible deployment across marketing, sales, and future areas.

The ideal candidate has 5+ years in product management with AI, CRM, or enterprise SaaS, strong stakeholder collaboration, and

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