Skills

Capabilities that drive AI-native product execution — from strategy to systems to growth.

Product Strategy

  • Define product vision and roadmap aligned to business outcomes
  • Prioritize ruthlessly using frameworks like RICE, ICE, and custom scoring
  • Translate ambiguous problems into clear product hypotheses
  • Run discovery processes that reduce risk before committing resources

AI Systems

  • Design end-to-end AI product architectures from prompt to production
  • Evaluate model capabilities and limitations for real-world use cases
  • Build feedback loops that continuously improve AI system performance
  • Ship AI features that users trust and actually adopt

Decision Engines

  • Build structured frameworks that encode product judgment
  • Automate decision workflows using rules, scoring, and ML
  • Reduce cognitive overhead for teams making repeated decisions
  • Create audit trails for accountability and learning

Data & Scoring

  • Design metric hierarchies from north star to team-level KPIs
  • Build scoring systems for leads, experiments, and prioritization
  • Run A/B tests with statistical rigor and practical interpretation
  • Turn qualitative insights into quantitative signals

Engineering Leadership

  • Lead cross-functional teams of engineers, designers, and data scientists
  • Set technical direction without micromanaging implementation
  • Balance speed and quality through iterative delivery
  • Create environments where engineers feel ownership and autonomy

Growth & Paid Literacy

  • Understand CAC, LTV, payback period, and channel economics
  • Collaborate with growth and marketing on acquisition strategies
  • Design product-led growth loops and activation funnels
  • Connect product decisions to revenue impact

Finance & P&L Thinking

  • Read and interpret P&L statements and unit economics
  • Build business cases for product investments
  • Optimize for margins, not just growth
  • Align product decisions with company-level financial goals

Ops Automation

  • Identify repetitive workflows ripe for automation
  • Design multi-agent systems for business process orchestration
  • Build internal tools that compound team productivity
  • Reduce toil through systematic process improvement