Insights on hiring signals, compensation benchmarking, and talent strategy from the Fieldwork team.
Job postings are public filings of intent. Here's how to decode what your competitors are telling you without meaning to.
You don't need a $100K Radford subscription to know what competitors pay. But you do need a system.
Companies lie in press releases. They don't lie in headcount budgets. Here are the five patterns that predict what's coming next.
A practical guide to building the dashboard your TA and CI teams wish they had. Data sources, metrics, and the build-vs-buy decision.
LinkedIn tells you who works somewhere. Job postings tell you what they're building next. The difference matters more than most CI teams realize.
Everyone says they're doing AI. Job postings tell you who's spending money on it. The gap between talk and talent investment is revealing.
Your competitor just posted 12 AE roles in your best territory. What do you do? Sales leaders who track hiring data already know the answer.
Time-to-fill is a vanity metric. Here are the talent acquisition analytics that predict hiring outcomes.
SaaS companies broadcast their strategy through job postings. Here's how to read the signals that matter.
Fintech hiring patterns reveal regulatory bets, product direction, and which companies are building versus burning cash.
In healthcare tech, compliance hiring is product strategy. Here is how to read the signals your competitors publish on their careers page.
Companies building security teams are broadcasting buying intent and competitive strategy. Here is how to read those signals.
A working alert system for competitor hiring changes. Build it in an afternoon, maintain it in 30 minutes a week.
Your executive team does not want data. They want decisions. Here is how to translate hiring intelligence into a format that drives action.
Job postings are the best public buying signal most sales teams ignore. Here is how to turn them into closed deals.
The absence of hiring data is a signal too. Here is how to spot layoffs before the headlines break.
Job postings contain more strategic intelligence than most quarterly earnings calls. Here is a repeatable method for extracting it.
Headcount is the metric companies cannot fake. Here is how to read it and what it tells you about where competitors are headed.
Pay transparency laws turned job postings into the largest real-time compensation dataset in history. Here is how to use it.
The labor market is a leading indicator of economic activity. Here is how to read it for strategic planning, not just recruiting.
Internal workforce planning misses half the picture. External hiring data shows you whether your plans are realistic given market conditions.
What SaaS job postings reveal about the software industry in 2026: AI integration, sales efficiency, and the infrastructure buildout.
Healthcare tech is hiring differently than the rest of tech. Here is what the job posting data shows about where the sector is investing.
Fintech is hiring more compliance engineers than product engineers for the first time. Here is what the data says about the sector's direction.
Cybersecurity has the widest supply-demand gap of any technology sector. Here is where the talent shortage is worst and what it means for hiring strategy.
When a company hires a new C-level executive, the next 6-12 months are when their function's vendor stack gets reset. This is the highest-leverage buying signal in B2B sales.
AI lab hiring intelligence shows clear migration patterns across OpenAI, Anthropic, Google DeepMind, Meta AI, xAI, and the open-source ecosystem. Here's the data.
When a target company starts requiring a new technology in job postings, they're either adopting it now or preparing to. This is the earliest signal for vendors selling adjacent products.
Engineering hiring tells you what a competitor is building, when they'll ship it, and how big the bet is. Here's how to read those signals from job posting data.