US hiring expertise · Global search reach · Seed to Series D startups
AI titles are increasingly common. Genuine depth is not. We look beyond whether someone has shipped an AI feature and assess the foundations, production experience and technical judgment behind the profile.
Strong machine learning or data science foundations, evidence of production ownership, an understanding of model and system trade-offs, and the ability to build beyond a demo or a single chatbot implementation.
These roles sit between the product, the codebase and the customer. Technical ability alone is not enough, and strong communication without engineering depth is not enough either.
The ability to understand an ambiguous customer problem, work directly with users, make sound technical decisions and explain complex systems clearly to both engineering and business stakeholders.
The strongest candidates are not defined by a programming language or framework alone. We assess the systems they have owned, the constraints they have worked within and the decisions they made as complexity increased.
Architecture judgment, reliability and scalability experience, understanding of system trade-offs, meaningful ownership and the ability to design systems that continue to work as the company grows.
A leader who succeeds inside a mature organization may be wrong for an early-stage startup. Leadership assessment must account for company stage, team maturity and how much structure already exists.
Stage fit, technical credibility, team-building ability, sound decision-making under uncertainty and the judgment to know when to remain hands-on and when to build systems through others.
For roles that shape what the company builds and how it grows, brand-name experience is not enough. We assess whether the person can operate with the ownership, pace and ambiguity the company actually requires.
Product judgment, evidence of measurable ownership, the ability to prioritize under constraints, strong cross-functional communication and experience relevant to the company’s stage rather than only its industry.
The title tells us where to start. The operating context determines who will succeed.
The same background can be highly relevant for one startup and completely wrong for another. We assess experience against the company’s stage, technical environment, pace, leadership expectations and the realities of how the team works.
See how we assess candidatesIn a 30-minute conversation, we will clarify the role, understand the hiring context and determine whether we are the right partner for the search.
No sales pitch. Just an honest conversation about the role and whether we can help.