Salesforce Product Owner - AI & Digital Transformation/Salesforce Technical Product Owner

VDart, Inc.

Juno Beach, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Software Bug Management Data Architecture Data Migration Documentum Enterprise Content Management IT Management Microsoft Dynamics Scrum Methodology Salesforce.Com

+6 more

SAP (Applications) Systems Integration Enterprise Software Applications Generative AI Virtual Agents Mulesoft

Job description

Own and manage Salesforce product backlog including epics, user stories, and acceptance criteria
Translate business requirements into clear, prioritized, and technically sound delivery items
Lead backlog grooming, sprint planning, and story readiness with business and technical teams
Apply Salesforce platform knowledge to guide scope, feasibility, and solution alignment
Define integration and data requirements across MuleSoft, SAP, and enterprise systems within user stories
Support data migration and validation planning, including reconciliation and cutover criteria
Use Generative AI and Agentic AI tools to accelerate story creation, documentation, and sprint artifacts
Integrate Salesforce AI capabilities (Einstein, Agentforce, GenAI flows) into product workflows
Ensure governance, compliance, and Definition of Done/Ready standards are met
Support SIT/UAT, defect triage, release readiness, and stakeholder coordination
Communicate roadmap progress, risks, and priorities to business and IT leadership
Facilitate Agile ceremonies and align distributed delivery teams (onshore/offshore)

Requirements

We are seeking a Salesforce Technical Product Owner to join the Salesforce IT team. This role bridges business strategy and platform execution, combining Salesforce product expertise with strong technical fluency in integrations, data architecture, and AI-augmented delivery. The ideal candidate excels in Agile environments and actively leverages Generative AI and Agentic AI tools to accelerate backlog creation, improve delivery quality, and drive measurable productivity gains., * 5+ years of experience as a Product Owner, Business Analyst, or Technical PM in Salesforce environments

Strong understanding of Salesforce platform (configuration, customization, integrations, data modeling)
Proven experience writing detailed user stories and acceptance criteria for enterprise systems
Working knowledge of APIs, integration patterns, and data migration concepts
Hands-on experience using Generative AI / Agentic AI tools in delivery workflows
Experience in Agile/Scrum environments with strong backlog ownership
Salesforce certifications: Administrator (required)
Preferred: Platform App Builder or Business Analyst certification, * Experience in utilities, energy, or regulated industries with compliance exposure (e.g., NERC)
Familiarity with Salesforce Data Cloud, Einstein AI, Agentforce
Experience with Agentic AI tools (Windsurf, Devin, or similar)
Understanding of MuleSoft, SAP, Documentum, or enterprise content systems
Experience with legacy-to-Salesforce migrations (e.g., Microsoft Dynamics)
Exposure to multi-vendor offshore/nearshore delivery models