Salesforce Product Manager – Agentforce, Data Cloud

PhoenixTeam

. Own product vision, roadmap, priorities, and backlog for Agentforce and Data Cloud/Data 360 capabilities .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for enterprise software, particularly with Salesforce Agentforce and Data Cloud/Data 360. Capable of defining product vision, managing backlogs, and translating business needs into actionable product requirements and strategies.

Highest-signal resume keywords

Product Management ExperienceSalesforce Agentforce ExpertiseSalesforce Data Cloud/Data 360 KnowledgeStrong Salesforce Platform FluencyAbility to Write Product Requirements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product RequirementsUser StoriesAcceptance CriteriaData QualityIdentity ResolutionData GovernanceAPI IntegrationsData StreamsCalculated InsightsSegmentation

Soft Skills

Strong JudgmentCommunication Skills

Tools & Technologies

SalesforceMuleSoftTableauSnowflakeDatabricksAWSGoogle Cloud

Certifications & Qualifications

Salesforce Certified Agentforce SpecialistSalesforce Certified Data 360 ConsultantSalesforce Platform AdministratorSalesforce Business AnalystSalesforce Platform App BuilderSalesforce Sales Cloud ConsultantSalesforce Service Cloud Consultant

Industry Keywords

Enterprise SoftwareCRMData PlatformsAI-Enabled ProductsAutomationSaaS

Tech Stack

Tools & technologies

AWSCloudTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

100% remote work
Full-time W2 employment
40 hours/week with availability during core U.S. business hours