
Run a Senior Job Search Like a Pipeline
Aaron Wise
Executive job search strategy: run it like a sales pipeline, with a target list, stages, conversion rates and the sources that actually produce interviews.

Aaron Wise
Executive job search strategy: run it like a sales pipeline, with a target list, stages, conversion rates and the sources that actually produce interviews.
Cross Organizational, Product Management
Data Engineering, Data Science
Cross Organizational, Leadership & Management
Aaron Wise
Executive job search strategy: run it like a sales pipeline, with a target list, stages, conversion rates and the sources that actually produce interviews.
Aaron Wise
Candidate experience is your employer brand: how you treat candidates, especially rejected ones, tells the market what working for you is like.
Aaron Wise
Real numbers from one week of Claude Code and Codex — cost, cache savings, CI minutes, what ran, and what broke.
Aaron Wise
Churn early warning signs show up in support tickets, workarounds and churn reasons first. A weekly loop with CS turns them into roadmap decisions.
Aaron Wise
AI feature prioritization: fund a model only when there is a measurable user problem, data you can use and a way to evaluate it. Otherwise it is output.
Aaron Wise
Real numbers from one week of Claude Code and Codex — cost, cache savings, CI minutes, what ran, and what broke.
Aaron Wise
Coding agents and supply chain security: agents add packages and run install scripts nobody approved. Gate new dependencies, sandbox agents, pin builds.

Engineering, Insights, Leadership & Management, Must Read
Senior engineering leaders need a clear problem, founder-market fit, and rough business plan before joining a startup.

The right roadmap prioritization model depends on your company’s growth stage and strategic goals.
Aaron Wise
RAG data quality starts with the index: give it an owner, freshness targets including deletes, lineage, source-matched access controls and quality checks.
Aaron Wise
LLM baseline first: measure the rule, lookup or small model on the same test, and fix in advance the margin the LLM must beat before you fund it.
Aaron Wise
LLM cost per query, fully loaded: what one answer costs, what it is worth, what heavy users do to both, and the levers that fix the math before launch.
AI feature prioritization: fund a model only when there is a measurable user problem, data you can use and a way to evaluate it. Otherwise it is output.
Enterprise security questionnaires stall deals nobody owns. Run review as a sales stage: answer library, trust page, one owner, SOC 2 when deals need it.
Data pipeline backfills are routine, not emergencies. Make jobs idempotent, partitioned, deterministic and versioned so fixing history takes an afternoon.
LLM cost per query, fully loaded: what one answer costs, what it is worth, what heavy users do to both, and the levers that fix the math before launch.

Cross Organizational, Product Management
Churn early warning signs show up in support tickets, workarounds and churn reasons first. A weekly loop with CS turns them into roadmap decisions.

Cross Organizational, Leadership & Management
Candidate experience is your employer brand: how you treat candidates, especially rejected ones, tells the market what working for you is like.