Product Strategy Lead, AI & Knowledge Systems

Career Guide
Leads vision and roadmap for AI-powered knowledge systems, aligning business goals with user needs. Partners with engineering, data science, and design to deliver search, discovery, and knowledge tools, and measures impact to drive adoption and value.

Key Responsibilities

  • Define AI product vision and multi-quarter roadmap
  • Prioritize backlog using OKRs, value vs. effort, and risk
  • Partner with engineering/data science on LLM, retrieval, and search features
  • Validate problems via user research and lean experiments
  • Establish KPIs; instrument analytics and run A/B tests
  • Evaluate build/buy/partner options for AI and KM platforms
  • Drive responsible AI, privacy, and model governance
  • Lead go-to-market planning and stakeholder alignment

Career Progression

Can Lead To
Head of AI Product
Director of Product Strategy
VP of Product
Chief Product Officer (CPO)
Transition Opportunities
Technical Program Manager (AI)
Solutions Architect (AI/ML)
Innovation Manager
Knowledge Management Director

Common Skill Gaps

Often Missing Skills
LLM evaluation and prompt designRetrieval-augmented generation (RAG) architecture basicsSearch relevance, taxonomy, and metadata designProduct analytics instrumentation (events, funnels)
Development SuggestionsBuild a working prototype (e.g., RAG with OpenAI + vector DB + Azure/Elastic) and define/track KPIs. Take a hands-on GenAI for PMs course and run small user tests to practice evaluation and prompt design.

Salary & Demand

Median Salary Range
Entry Level$110,000–$140,000
Mid Level$150,000–$190,000
Senior Level$200,000–$260,000
Growth Trend
rapidly_growing – Generative AI adoption fuels demand for AI product leadership

Companies Hiring

Major Employers
MicrosoftSalesforceServiceNow
Industry Sectors
TechnologyEnterprise Software/SaaSProfessional Services & Consulting

Recommended Next Steps

1
Complete a practical GenAI course (e.g., DeepLearning.AI ‘Building Systems with ChatGPT’, Product School’s Generative AI for PMs).
2
Earn a product credential such as Pragmatic Institute PMC or AIPMM CPM to formalize product strategy skills.
3
Ship a portfolio project: implement enterprise search or a knowledge assistant using RAG; document problem, approach, metrics, and results.