CyberTec
We are still looking for a Sr AI PDM. Recently the manager provided feedback she is looking for a True PDM.
Please note the manager is ideally targeting someone who has experience with AI & Content Driven Initiatives pertaining to Platform Development. OR AI/ML initiatives pertaining to Platform Development initiatives.
Retail experience would be top of the list but AI experience is the focus - 4 days onsite San Francisco, CA or 3 days onsite in San Francisco, CA and 1 day onsite in San Jose,CA
Please share all viable candidates.
I appreciate the support! Client
Retail Client
Job Title
Sr Product Manager - Gen AI Content & Applications
Placement type (FTE/C/CTH)
Contract (potential to convert to full-time)
Duration
Long term expectation - 6 month contract to start
Location
4 days in office (M-Th), WFH Friday. No exceptions. Primarily location must be 100 North Point, San Francisco, CA Open to considering a candidate if they will do San Francisco, CA for 3 days with the 4th day to San Jose
Start Date
ASAP
Bill Rate
$55/HR -W2 rate
Work Authorization
OPEN
Interview Process
2 rounds expected + product exercise / take home assignment
Role/Project Description
This role will report directly to the VP of Product. Your leadership will empower teams to innovate and execute on high-impact projects, ultimately contributing to Williams-Sonoma's mission to create exceptional customer experiences through technology.
Our Client is reimagining how digital content is created, scaled, and deployed through Generative AI. We are seeking a Senior Principal Product Manager to lead the strategy and execution of AI-generated content platforms spanning visual, textual, and functional content - including tools that generate imagery, language, and working code.
This role requires a rare blend of technical fluency, product strategy depth, and hands-on prototyping skill, using modern AI tooling to build high-quality, brand-aligned content experiences at scale. You'll operate at the intersection of LLMs, IDE integrations, model orchestration, and agentic workflows - helping transform how content is produced across business units.
Duties/Day to Day Overview Define and lead the roadmap for multi-modal generative content platforms - focusing on scale, quality, personalization, and brand fidelity. Drive a unified product vision across generative image, text, and code content systems - tightly aligned with creative, operational, and business needs. Translate advancements in AI/ML into structured, scalable content generation pipelines and customer-facing experiences. Build and iterate on working prototypes using tools such as LangChain, Replit, Vercel, and low/no-code LLM-powered frameworks. Work hands-on within IDEs such as Cursor and GitHub Copilot to experiment with and evaluate AI-enhanced application workflows. Apply Model Context Protocol (MCP) principles to enable context-aware, multi-agent systems that maintain coherence, memory, and alignment across sessions. Architect prompt flows and generation pipelines that integrate LLMs, embedding models, RAG systems, and fine-tuned content outputs. Leverage agentic AI systems for orchestrating task-driven processes - such as content QA, iterative testing, and auto-publishing workflows - with safety and traceability built in. Establish benchmarks and continuous feedback systems to evaluate AI outputs for fidelity, compliance, clarity, and velocity. Collaborate with engineering, data science, creative, and marketing teams to ensure seamless integration of AI into content and development workflows. Lead QA, human-in-the-loop, and feedback loop implementations to maintain creative excellence and business integrity at scale. Mentor junior product managers and cultivate a strong experimentation culture within AI product development teams. Top Requirements (Must Haves)
5+ years in product management, including 3+ years in Generative AI, AI/ML tooling, or developer platform products. Demonstrated ability to manage products for multi-format AI-generated content - including image, text, and application code. Hands-on experience with AI-enhanced IDEs like Cursor and GitHub Copilot, and with building prototypes using Replit, Vercel, or similar. Familiarity with MCP (Model Context Protocol) and agentic frameworks that support autonomous, goal-driven AI capabilities. Track record of taking AI/ML features from ideation through launch in enterprise or platform-scale environments. Additional Notes
Technical background or education in computer science, data systems, or human-computer interaction. Experience integrating prompt engineering, vector search, RAG, and LLM APIs into production environments. Knowledge of ethical and responsible AI frameworks with real-world implementation experience
Please note the manager is ideally targeting someone who has experience with AI & Content Driven Initiatives pertaining to Platform Development. OR AI/ML initiatives pertaining to Platform Development initiatives.
Retail experience would be top of the list but AI experience is the focus - 4 days onsite San Francisco, CA or 3 days onsite in San Francisco, CA and 1 day onsite in San Jose,CA
Please share all viable candidates.
I appreciate the support! Client
Retail Client
Job Title
Sr Product Manager - Gen AI Content & Applications
Placement type (FTE/C/CTH)
Contract (potential to convert to full-time)
Duration
Long term expectation - 6 month contract to start
Location
4 days in office (M-Th), WFH Friday. No exceptions. Primarily location must be 100 North Point, San Francisco, CA Open to considering a candidate if they will do San Francisco, CA for 3 days with the 4th day to San Jose
Start Date
ASAP
Bill Rate
$55/HR -W2 rate
Work Authorization
OPEN
Interview Process
2 rounds expected + product exercise / take home assignment
Role/Project Description
This role will report directly to the VP of Product. Your leadership will empower teams to innovate and execute on high-impact projects, ultimately contributing to Williams-Sonoma's mission to create exceptional customer experiences through technology.
Our Client is reimagining how digital content is created, scaled, and deployed through Generative AI. We are seeking a Senior Principal Product Manager to lead the strategy and execution of AI-generated content platforms spanning visual, textual, and functional content - including tools that generate imagery, language, and working code.
This role requires a rare blend of technical fluency, product strategy depth, and hands-on prototyping skill, using modern AI tooling to build high-quality, brand-aligned content experiences at scale. You'll operate at the intersection of LLMs, IDE integrations, model orchestration, and agentic workflows - helping transform how content is produced across business units.
Duties/Day to Day Overview Define and lead the roadmap for multi-modal generative content platforms - focusing on scale, quality, personalization, and brand fidelity. Drive a unified product vision across generative image, text, and code content systems - tightly aligned with creative, operational, and business needs. Translate advancements in AI/ML into structured, scalable content generation pipelines and customer-facing experiences. Build and iterate on working prototypes using tools such as LangChain, Replit, Vercel, and low/no-code LLM-powered frameworks. Work hands-on within IDEs such as Cursor and GitHub Copilot to experiment with and evaluate AI-enhanced application workflows. Apply Model Context Protocol (MCP) principles to enable context-aware, multi-agent systems that maintain coherence, memory, and alignment across sessions. Architect prompt flows and generation pipelines that integrate LLMs, embedding models, RAG systems, and fine-tuned content outputs. Leverage agentic AI systems for orchestrating task-driven processes - such as content QA, iterative testing, and auto-publishing workflows - with safety and traceability built in. Establish benchmarks and continuous feedback systems to evaluate AI outputs for fidelity, compliance, clarity, and velocity. Collaborate with engineering, data science, creative, and marketing teams to ensure seamless integration of AI into content and development workflows. Lead QA, human-in-the-loop, and feedback loop implementations to maintain creative excellence and business integrity at scale. Mentor junior product managers and cultivate a strong experimentation culture within AI product development teams. Top Requirements (Must Haves)
5+ years in product management, including 3+ years in Generative AI, AI/ML tooling, or developer platform products. Demonstrated ability to manage products for multi-format AI-generated content - including image, text, and application code. Hands-on experience with AI-enhanced IDEs like Cursor and GitHub Copilot, and with building prototypes using Replit, Vercel, or similar. Familiarity with MCP (Model Context Protocol) and agentic frameworks that support autonomous, goal-driven AI capabilities. Track record of taking AI/ML features from ideation through launch in enterprise or platform-scale environments. Additional Notes
Technical background or education in computer science, data systems, or human-computer interaction. Experience integrating prompt engineering, vector search, RAG, and LLM APIs into production environments. Knowledge of ethical and responsible AI frameworks with real-world implementation experience