Salesforce Technical Product Owner - W2 Only

Key Responsibilities

• Own and manage the Salesforce product backlog end-to-end defining epics, user stories, acceptance criteria, and sprint-ready work items with technical precision and business clarity.
• Partner with business stakeholders, architects, and delivery leads to translate complex operational requirements into well-scoped, prioritized, and dependency-aware backlog items.
• Drive sprint planning, backlog grooming, and story readiness ceremonies as the primary product voice, ensuring technical completeness and business alignment in every user story.
• Balance short-term delivery commitments with long-term platform health, managing trade-offs between new feature development, technical debt, and compliance requirements.

Technical Depth & Platform Fluency

• Demonstrate working knowledge of Salesforce platform capabilities including Sales Cloud, Service Cloud, Experience Cloud, Flows, Apex-driven customizations, and LWC enabling credible, technical dialogue with architects and developers.
• Evaluate and challenge solution designs for feasibility, scalability, and alignment with platform best practices, governance standards, and org health principles.
• Understand and articulate Salesforce customization constraints, governor limits, and configuration vs. code trade-offs to guide prioritization and scope decisions.
• Support technical grooming sessions by identifying ambiguities, edge cases, and non-functional requirements before stories enter development.
• Maintain a working understanding of enterprise integration patterns connecting Salesforce to systems including MuleSoft, SAP, Documentum, Excalibur, and legacy platforms ensuring user stories account for API dependencies, data contracts, and system constraints.
• Partner with integration and data engineering teams to define data flow requirements, transformation logic, and validation rules as part of story acceptance criteria.
• Support data migration initiatives by defining business validation rules, cutover acceptance criteria, and reconciliation checkpoints for migrations from legacy platforms (e.g., Microsoft Dynamics).
• Collaborate with the Enterprise Data Platform (EDP) and Data Cloud teams to ensure product decisions align with data architecture, lineage standards, and compliance requirements.

Generative AI & Agentic AI Delivery

• Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for accelerated story creation, acceptance criteria generation, process documentation, and sprint artifact development.
• Apply prompt engineering best practices iterative prompting, session scoping, and peer review gates to ensure AI-generated stories are complete, accurate, and development-ready.
• Partner with the Salesforce Architect and Tech Lead to define and integrate Einstein AI, Agentforce, and GenAI-enabled flows into product workflows, case management, and portal experiences.
• Champion AI-augmented product delivery practices across the team, driving measurable outcomes including ~50% faster story creation, 40 60% reduction in BA/QA effort, and improved sprint throughput.
• Contribute to AI efficiency benchmarking and reporting aligned with client's 2026 2028 AI-first delivery strategy.

Data-Informed Product Decisions

• Define and monitor product success metrics including SLA adherence, defect rates, user adoption, and delivery velocity using data to inform prioritization and roadmap adjustments.
• Maintain audit-ready documentation, release notes, and traceability matrices aligned with NERC, utility-sector compliance standards, and enterprise governance requirements.
• Communicate product progress, risks, and outcomes in concise, executive-level formats suitable for leadership reporting and organizational transparency.

Governance, Compliance & Release

• Ensure all product increments meet security, access management, and platform governance standards prior to release coordinating with architects and QA leads on readiness gates.
• Define and maintain Definition of Ready (DoR) and Definition of Done (DoD) standards that embed compliance, documentation, and governance checkpoints into every delivery cycle.
• Support SIT/UAT coordination, defect triage, and user acceptance driving defect counts below the 5% threshold and ensuring smooth change management and user adoption.

Stakeholder Engagement & Communication

• Serve as the primary liaison between business stakeholders, IT leadership, and the delivery team translating vision into execution with clarity, diplomacy, and accountability.
• Facilitate discovery workshops, process walkthroughs, and stakeholder demos that build shared understanding and drive confident decision-making.
• Communicate release plans, roadmap updates, and delivery risks proactively to leadership in concise, business-impact-focused formats.

Required Qualifications

• 5+ years of experience as a Product Owner, Business Analyst, or Technical PM with a strong focus on Salesforce platform delivery.
• Demonstrable technical fluency in Salesforce platform capabilities including customization, integrations, data modeling, and automation sufficient to lead technical grooming and challenge solution designs.
• Prominent experience writing high-quality user stories and acceptance criteria for complex enterprise Salesforce solutions.
• Working knowledge of integration architecture and data engineering concepts including APIs, middleware patterns, ETL/ELT, and data migration.
• Active daily use of Generative AI and/or Agentic AI tools in a product delivery context with measurable productivity outcomes.
• Experience in Agile/Scrum delivery environments as a practicing Product Owner with strong backlog management and stakeholder engagement skills.
• Service Desk Administrator certification (required); Platform App Builder or Business Analyst certification strongly preferred.

Preferred Qualifications

• Experience in regulated utility, energy, or infrastructure sectors with awareness of NERC compliance, audit requirements, and data governance standards.
• Familiarity with Salesforce Data Cloud, Einstein AI, Agentforce, and AI-enabled workflow design.
• Hands-on experience with Windsurf, Devin, or similar Agentic AI delivery platforms.
• Knowledge of Documentum, Excalibur, SAP, or enterprise content management systems from a product requirements perspective.
• Background in multi-vendor offshore/nearshore delivery models and managing distributed agile teams.
• Experience with data migration projects from legacy platforms (e.g., Microsoft Dynamics) to Salesforce, including business validation and cutover planning.
• Familiarity with MuleSoft integration platform from a product and requirements perspective.