Adam Ward: Hiring Is No Longer a Funnel (Category Management)
Yesterday I watched the August 9, 2026 episode of Lenny’s Podcast with Adam Ward, Head of Talent at Cursor. The conversation is formally about teams with a high concentration of strong specialists, but I read a different idea into it: the hiring market has split, and the familiar funnel is getting worse at distinguishing competence from a candidate’s mere availability.
Ward calls what is happening “two cities”:
- Companies compete extremely aggressively for a small group of AI researchers and specialists in new roles
- Many other people cannot find a job for months Similar realignments happened when the industry moved to mobile first or mobile native, but now, in his observation, the changes unfold not over years, but over weeks.
The profile of an in-demand specialist is also changing. Ward sees growing demand for FDEs—engineers who understand the technology deeply, can speak with executives, and bring a product to a working solution at the customer. At the same time, things are getting harder for very narrow specialists and beginners without accumulated context. Technical depth is not the only thing valued more highly: taste, the quality of decisions, curiosity, product thinking, and the ability to work across functional boundaries matter too.
The strongest part of the episode is its criticism of the classic funnel, which Ward calls the funnel of doom. A company writes to a hundred people, twenty reply, someone is screened out at each subsequent stage, and the remaining person is hired. But the twenty who replied are not necessarily the best twenty. They are simply the ones who happened to be available at that moment.
Instead, he suggests treating every important hire like an executive search:
- First, precisely describe not the position, but the required skills, experience, and result after one year;
- Then map the market and look for people by specific signals rather than a famous employer on their résumé;
- After that, steadily build relationships with a small number of suitable candidates—sometimes for weeks or months.
Assessment is changing too. Cursor uses work trials: a candidate solves a task alongside the future team. According to Ward, the company tried to eliminate this expensive stage, but lost confidence in the quality of the signal and brought it back. The value works both ways: the employer sees not only the answer, but also the candidate’s thinking, interaction, and decision-making; the candidate gets evidence about the real team, rather than only a job presentation.
I especially liked the caveat about talent density. It is not a collection of “10x” heroes. Even a strong person will not produce a tenfold result in a bad team. A concentration of strong specialists is a property of the system: how well people complement one another and whether the environment helps turn individual strength into a shared result.
There is also an important limitation in the conversation. Cursor hires rare profiles in an overheated AI market. Applying this model literally to mass hiring would be expensive and perhaps pointless. But its principle is useful more broadly: the unit of hiring should be neither a vacancy nor a stage conversion rate, but a specific person and evidence of how they will solve your problems together with your team.
AI is changing the recruiter’s profession here as well. Ward expects the emergence of the talent engineer: a recruiter who builds their own tools for market research and process organization. To me, this is not about automating human choice. On the contrary, when AI makes search and personalization dramatically cheaper, the scarce resources become precise criteria, signal quality, and genuine attention to the person.
#AI #Management #Leadership #Engineering #Career #Hiring