Agentforce Product Manager

Veriipro; East Hanover (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

Veriipro is seeking an experienced Product Manager to define and manage the strategy, roadmap, and delivery of Salesforce Agentforce capabilities integrated with Salesforce Data Cloud. This role focuses on enterprise AI product management, backlog prioritization, governance, agent evaluation, and cross-functional delivery to ensure scalable, secure AI solutions.

You will own and prioritize the product backlog, collaborate with Data Cloud teams, and drive governance, security, and compliance

Qualifications

• 5+ years of product management experience in enterprise SaaS, CRM, or AI products.
• Hands-on knowledge of Salesforce Agentforce and Salesforce Data Cloud.
• Strong understanding of AI agents, grounding, context management, and governance.

Responsibilities

• Define strategy, roadmap, and delivery plans for Agentforce use cases.
• Own and maintain the product backlog with epics, stories, acceptance criteria, and releases.
• Partner with Data Cloud teams to define governed data context and user grounding requirements.
• Coordinate planning across architecture, engineering, security, privacy, and AI governance teams.
• Ensure responsible AI governance through reviews, guardrails, and documentation.
• Lead cross-functional teams through design, development, testing, deployment, and support.
• Drive stakeholder engagement, user feedback, and continuous product improvement.
• Track adoption, business value, product quality, risk, and delivery performance.

Skills

Product management

AI products

CRM platforms

Data platforms

Enterprise SaaS

Release planning

Education

Bachelor's degree

Tools

Salesforce Agentforce

Salesforce Data Cloud

APIs

Security & compliance tooling

Job description

We are seeking an experienced Agentforce Product Manager to define and manage the strategy, roadmap, and delivery of Salesforce Agentforce capabilities integrated with Salesforce Data Cloud. The role focuses on enterprise AI product management, backlog prioritization, responsible AI governance, agent evaluation, and cross-functional delivery to ensure scalable, secure, and business-driven AI solutions.

Key Responsibilities

• Manage Agentforce intake, evaluate business requirements, and identify reusable enterprise AI capabilities.
• Define product strategy, roadmap, feature priorities, and delivery plans for Agentforce use cases.
• Own and maintain the product backlog, including epics, user stories, acceptance criteria, and release plans.
• Partner with Data Cloud teams to define governed data context, unified profiles, permissions, and agent grounding requirements.
• Coordinate planning and dependencies across architecture, engineering, security, privacy, and AI governance teams.
• Ensure responsible AI compliance through governance reviews, access controls, guardrails, documentation, and human oversight.
• Lead cross-functional teams through design, development, testing, deployment, and ongoing support.
• Define evaluation criteria for agent accuracy, grounded responses, reliability, security, traceability, and user experience.
• Drive adoption through stakeholder engagement, training, user feedback, and continuous product improvement.
• Track business value, adoption, product quality, risk, and delivery performance.

Required Skills

• 5+ years of experience in product management, AI products, CRM platforms, data platforms, automation, or enterprise SaaS.
• Hands-on knowledge of Salesforce Agentforce and Salesforce Data Cloud, or comparable enterprise AI and customer data platforms.
• Strong understanding of AI agents, workflows, grounding, context management, access controls, and responsible AI governance.
• Experience managing product roadmaps, agile backlogs, user stories, and release planning.
• Knowledge of AI evaluation, human oversight, security, privacy, and enterprise governance requirements.
• Experience coordinating cross-functional teams across business, engineering, architecture, data, security, and compliance.
• Excellent communication, stakeholder management, prioritization, and analytical skills.
• Bachelor's degree in a relevant field or equivalent qualifications.

Preferred Qualifications

• Experience with Salesforce CRM, Data Cloud, Agentforce, APIs, workflow automation, and enterprise integrations.
• Familiarity with AI governance frameworks, prompt and grounding design, model evaluation, monitoring, and incident management.
• Experience in healthcare, pharmaceutical, life sciences, or other regulated industries.
• Advanced degree or relevant Salesforce certifications.