POC: Sam Chavez
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Job Title: Senior Consultant | Product Design & Development | Product Design & Development - Principal Product Manager AI
Work Location & Reporting Address: San Francisco, CA 94133 (Onsite-Hybrid. Will consider candidates willing to relocate to client's location)
Contract duration: 6
MAX VENDOR RATE: XXX per hour max
Target Start Date: 10 Jun 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
• Product Management
• B2B Experience
Nice to Have Skills:
Detailed Job Description:
Principal Product Manager (AI)
Design and Deploy Agentic AI Systems
• Architect multi-step, tool-using agent workflows across WSI's AI platform ecosystem (ChatGPT Enterprise, Claude, Gemini, Salesforce Agentforce)
• Design orchestration layers, tool/MCP integrations, and human-in-the-loop checkpoints for agentic commerce and operational workflows
• Evaluate when agentic approaches are warranted versus simpler prompt-based or rule-based solutions-and hold that line
• Establish reliability, evaluation, and failure-handling standards for production agentic systems
Redesign Workflows for AI-Native Operation
• Partner with brand and functional teams to map current-state workflows and identify meaningful AI transformation opportunities
• Apply structured decision-making to determine the right solution: agentic AI, prompt-based automation, traditional RPA, or process redesign
• Co-design workflows that are scalable, auditable, and owned by the business-not dependent on the AI Strategy team to operate
Apply Cross-Platform AI Expertise
• Operate fluently across WSI's deployed AI platforms: ChatGPT Enterprise (OpenAI), Claude (Anthropic), Gemini (Google), and Salesforce Agentforce
• Evaluate platform strengths and limitations per use case-reasoning depth, context handling, tool use, latency, cost, and governance constraints
• Contribute to platform vendor relationships as a practitioner peer, not just a buyer: push back, co-develop, and represent enterprise requirements
• Stay current on MCP (Model Context Protocol), emerging agent frameworks, and evolving platform capabilities
Enable Teams to Own Their AI Capabilities
• Co-build solutions with business stakeholders; never build in isolation
• Develop playbooks, templates, and repeatable patterns teams can evolve independently
• Establish clear ownership and transition models; avoid creating dependency by design
• Measure success by adoption, independence, and sustained operation-not by throughput of solutions delivered
Build Selectively and Ship to Production
• Develop lightweight automations, agent workflows, and prompt systems where required to unblock progress
• Ensure every solution has a defined path to production, clear ownership, monitoring, and maintenance
• Balance accuracy, cost, latency, reliability, and auditability in every design decision
Drive Scalable AI Adoption and Governance
• Define and evolve enterprise AI tooling standards, access controls, and data governance practices
• Partner with Engineering, Security, Legal, and Finance on AI governance frameworks and risk management
• Support client's enterprise AI skills program: lead workshops, develop training, and build AI fluency across functional teams
Minimum Years of Experience:
• 7+ years
Certifications Needed:
• None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?)
• Virtual
Any additional information you would like to share about the project specs/nature of work:
