Salesforce Product Manager – Agentforce, Data Cloud
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Job Description
Salesforce Product Manager leading Agentforce and Data Cloud product strategy, pilots, and production releases. PhoenixTeam helps organizations modernize platforms and deploy practical AI and digital solutions.
Responsibilities:
- Own product vision, roadmap, priorities, and backlog for Agentforce and Data Cloud/Data 360 capabilities
- Manage intake and qualify use cases by user need, business outcome, data availability, risk, reuse potential, cost, and delivery readiness
- Translate priorities into product requirements, epics, features, user stories, acceptance criteria, agent evaluation criteria, data requirements, and release plans
- Define Data Cloud/Data 360 requirements covering source systems, data streams and connectors, zero-copy access, data-model mapping, identity resolution, calculated insights, segments and activations, unstructured content, permissions, consent, data quality, and governance
- Define Agentforce requirements covering topics, instructions, actions, grounding and retrieval, Flow and API integrations, access controls, guardrails, human handoff, and monitoring
- Prioritize work based on business value, data readiness, governance risk, technical dependencies, enterprise reuse, and delivery capacity
- Partner with business, architecture, data, engineering, security, privacy, legal, operations, and adoption teams to resolve dependencies and sequence releases
- Lead prototype, pilot, testing, and launch-readiness activities
- Define evaluation of groundedness, task completion, reliability, access control, escalation, user experience, and business impact
- Use production feedback and metrics to improve agent behavior, data quality, adoption, cost effectiveness, and reusable platform patterns
- Maintain decisions, assumptions, risks, and traceability from business outcome through data context, agent behavior, release, and measured result
Requirements:
- 5+ years of product management or product ownership experience for enterprise software, CRM, data platforms, AI-enabled products, automation, or SaaS
- Demonstrated product management experience with both Salesforce Agentforce and Salesforce Data Cloud/Data 360, including taking capabilities through pilot or production release
- Ability to explain personal product decisions, data and agent design, quality measures, adoption approach, and business outcome
- Practical knowledge of Data Cloud/Data 360, including data ingestion or zero-copy access, data streams, Data Lake Objects and Data Model Objects, identity resolution, calculated insights, segmentation and activation, data quality, permissions, and governance
- Practical knowledge of Agentforce, including topics, instructions, actions, grounding or retrieval, Flow or API integrations, access controls, testing and evaluation, guardrails, human escalation, and monitoring
- Ability to own product strategy, roadmap, backlog, and release plan
- Ability to write product requirements, user stories, acceptance criteria, and measurable success criteria
- Strong Salesforce platform fluency, including Salesforce applications, Flow, platform security and permissions, metadata, APIs, integrations, and enterprise data
- Experience coordinating decisions across business, architecture, data, engineering, security, privacy, legal, and operational stakeholders
- Strong judgment and communication skills, including challenging low-value or poorly prepared use cases and explaining technical tradeoffs
- Salesforce Certified Agentforce Specialist and Salesforce Certified Data 360 Consultant preferred
- Additional Salesforce credentials preferred, including Platform Administrator, Business Analyst, Platform App Builder, Sales Cloud Consultant, or Service Cloud Consultant
- Experience with Salesforce Flow, MuleSoft or other API and integration patterns, Tableau or CRM Analytics, and enterprise data platforms such as Snowflake, Databricks, AWS, or Google Cloud preferred
- Experience defining AI-agent evaluation, responsible-AI controls, prompt or grounding strategies, observability, incident response, and human-in-the-loop operating models preferred
- Experience working in a Salesforce Center of Excellence, enterprise platform product team, or customer-facing consulting environment preferred
- Experience driving adoption and operating-model change for CRM, data, automation, or AI capabilities preferred
- Availability during core U.S. business hours
Benefits:
- 100% remote work
- Full-time W2 employment
- 40 hours/week with availability during core U.S. business hours
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