AI Product Manager (Contract)

AI Chat Commerce Platform - Kemon Digital Agency

We're building a cutting-edge AI chat commerce platform for a major enterprise retail client - think WhatsApp meets AI shopping assistant meets luxury e-commerce. This is production AI, not a prototype. Real customers, real transactions, real impact.

Why This Project Matters for Your Career:

• Resume Builder: Be the AI Product Manager who launched a live AI commerce platform for enterprise retail. This is the kind of project that gets you into your next role.
• Hands-On AI Experience: You'll work directly with LLM agents, prompt engineering, and orchestration architecture. No better way to learn AI than building with it daily.
• Cutting Edge Tech Stack: Multi-agent orchestration (main agent coordinating specialized sub-agents), guardrail systems, Shopify integration, real-time product intelligence - this is where the industry is heading.
• End-to-End Ownership: Unlike big companies where you own one small piece, you'll see the entire AI product lifecycle from stakeholder interviews to production deployment.

The Technical Challenge: We're building an orchestra agent model where a main chat agent coordinates with specialized sub-agents (product info, inventory, promotions, guardrails). You'll be defining how these agents work together, what data they need, and how they're trained through our admin panel.

We need an AI Product Manager who can bridge the gap between our enterprise retail client's business stakeholders and our development team. You'll be the translator who converts we want AI to help customers into actual product specifications that engineers can build.

Stakeholder Management (50%)

• Interface with client's customer service, brand, and product teams
• Conduct discovery sessions to understand pain points and requirements
• Convert verbal feedback, spreadsheets, and slide decks into clear technical specifications
• Filter noise and translate stakeholder wants into actionable product objectives
• Manage expectations and keep stakeholders aligned on what's possible with AI

AI Product Development (40%)

• Define and refine prompts for different agent types (chat, product info, guardrail)
• Become power user of our AI admin panel - this is your prompt engineering playground
• Make data and prompt adjustments based on stakeholder feedback and performance metrics
• Train and tune AI agents using the admin interface
• Define what data gets pulled from e-commerce platform and how agents use it
• Test agent responses and iterate on behavior
• Document processes so client team can eventually self-serve

Product Strategy & Planning (10%)

• Work with engineering lead to refine PRDs and technical requirements
• Participate in sprint planning and feature prioritization
• Help define rollout phases and success metrics
• Create training materials and documentation

Must Have:

• Product management or engineering background (2-3+ years)
• Experience working with non-technical stakeholders who don't know what they want yet
• Ability to convert ambiguous requests into concrete requirements
• Strong written communication (you'll be writing prompts and documentation daily)
• Comfortable with technical interfaces and learning new tools quickly
• Genuine interest in AI - you should be excited about LLMs and their applications

Nice to Have:

• E-commerce or retail experience
• Any exposure to AI/LLM projects, ChatGPT, Claude, or chatbot implementations
• Experience with Shopify or similar platforms
• Background in customer service or CX
• Previous agency or client-facing work
• Coding background (helpful but not required)

Personality Fit:

• High tolerance for ambiguity - AI products are inherently unpredictable
• Can stay calm when stakeholders contradict each other
• Proactive problem solver who doesn't wait to be told what to do
• Detail-oriented but can also see the big picture
• Comfortable being the bad guy who has to say no to unrealistic requests
• Intellectually curious - you'll be learning prompt engineering on the job
  

AI & Prompt Engineering:

• How to design and optimize prompts for different use cases
• Multi-agent orchestration and coordination
• Guardrail design and AI safety in production
• RAG (Retrieval Augmented Generation) for product information
• How to evaluate and improve AI agent performance

Product Management:

• Enterprise stakeholder management
• Requirements gathering in ambiguous situations
• Phased rollout planning for AI products
• Balancing technical constraints with business needs

This experience positions you for:

• AI Product Manager roles at tech companies
• Consulting on AI implementations
• Starting your own AI agency or product
• Technical Product Manager positions requiring AI knowledge
  

Project Structure:

• Initial engagement for Phase 1 (AI chat agent, product info agent, guardrail agent)
• High probability of Phase 2+ continuation (inventory, order status, promotions agents)
• Direct exposure to client leadership and strategic decisions
• Work closely with Kemon team and engineering lead

Reporting:

• Report to Kemon leadership with dotted line to Engineering Lead
• Regular touchpoints with client stakeholder teams
• Autonomy to define processes and workflows

Growth Opportunity:

• This is a greenfield project - you're building the playbook
• Potential to grow into AI Product Lead as we scale
• Portfolio piece that demonstrates real AI product experience

Location & Hours:

• [Remote/Hybrid/On-site - TBD]
• Some meetings during client business hours
• Flexible working arrangements