Pharma AI Product Manager, Agent Force

Mariforce Crewing

East Hanover (NJ)

Hybrid

USD 110,000 - 138,000

Full time

14 days+

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Job summary

Mariforce Crewing is seeking an Agent force Product Manager to own the roadmap, backlog, and enterprise delivery of AI agent capabilities using Salesforce Data Cloud. You will collaborate with stakeholders, architecture, security, privacy, and governance teams to deliver scalable AI solutions for marketing, sales, and other business functions.

The role requires 5+ years in product management related to AI, CRM, or enterprise SaaS, with hands-on Salesforce Data Cloud experience and a strong

Qualifications

Bachelor's degree in Technology, Computer Science, Engineering, Business, or a related field.
5+ years of relevant product management, AI product, CRM platform, automation, or enterprise SaaS experience.
Strong understanding of AI-enabled products, agent workflows, grounding, context management, access controls, and responsible AI governance.
Hands-on knowledge of Salesforce Agent force and Data Cloud, or comparable enterprise AI and customer data platforms.
Experience managing agile roadmaps and backlogs across business and technical teams.
Excellent communication, stakeholder management, and analytical skills.
Prior pharma or life sciences experience is required.
Local candidates in New Jersey who can meet the hybrid schedule are preferred.

Responsibilities

Manage and qualify incoming requests for Agent force features and capabilities, documenting business needs, expected outcomes, risks, and opportunities for reuse.
Define the Agent force product roadmap and prioritize enterprise requirements based on business value, readiness, governance, dependencies, and delivery capacity.
Own and maintain the product backlog, including epics, features, user stories, acceptance criteria, and release plans.
Collaborate with Salesforce Data Cloud product teams to establish governed data context for AI agents, including unified profiles, data objects, calculated insights, and permissions.
Coordinate planning and dependencies across engineering, architecture, security, privacy, and AI governance teams.
Ensure responsible AI practices, including appropriate guardrails, human oversight, traceability, and required governance approvals.
Partner with technical teams to design, build, test, release, and support reusable Agent force capabilities.
Define evaluation criteria for accuracy, grounding, reliability, access control, user experience, and escalation to human support.
Drive adoption through stakeholder engagement, training, operational feedback, and continuous improvement.
Track business outcomes, product adoption, delivery progress, quality, and governance compliance.