Switzerland has long set the gold standard in Deep Tech. Between its world-class research hubs and startup-friendly infrastructure, the nation boasts a small but mighty talent pool.

After a busy year growing DeepRec.ai’s Swiss presence, delivering a range of complex hiring projects, and working closely with founders and technical leaders across the full spectrum of AI development, we’ve seen plenty of patterns emerge from the market.

With that in mind, here are the team’s five favourite talent predictions we think will shape Swiss Deep Tech over the next couple of years.

Early Commercial Viability Will Emerge in Quantum 

Starting off strong. By late 2026, we expect early signs of quantum systems reaching practical relevance across optimisation, materials science, and cryptography.

Switzerland is already a heavyweight in quantum computing, with deep academic roots and a steady stream of ambitious spin-outs. As breakthroughs move closer to application, hiring conversations are following suit.

 Demand is rising for a very small, highly specialised group of people who can stay close to frontier research while helping organisations prepare for what comes next.

Keep your eye on:

  • Terra Quantum - end-to-end capabilities in quantum algorithm design, quantum computing and quantum security
  • ZuriQ - quantum computing startup developing scalable 3D trapped-ion quantum hardware

Execution-First Deep Tech Teams Will Outperform

In 2026, the most successful Swiss deep-tech companies won’t be defined by the sophistication of their technology alone, but by how early they build for execution.

Founders are prioritising product, customers, and scale much earlier, and hiring trends are starting to reflect this shift.

Demand is growing for technical leaders who can operate beyond the lab – translating complex IP into deployable products, leading cross-functional teams, and scaling with capital efficiency. Execution will be the key differentiator.

Companies to keep your eye on:

Spinout Experience Will Matter More

Time spent in ETH and EPFL spinouts is increasingly attractive because it exposes people to ambiguity and the realities of commercialising complex technology.

Big tech backgrounds still matter, especially as teams look to scale products. What’s changing is the recruitment process itself. We’re seeing hiring managers spend more time understanding how a candidate thinks and operates, which means less reliance on familiar company names as a proxy for impact.

Expect Strong Scaling Momentum

Switzerland leads Europe in Deep Tech VC funding per capita and third in the world (behind Israel and the United States).

The scaling momentum we expect in 2026 is the result of groundwork laid over several years, like maturing technology, industry/academia collaboration, early commercial traction, and clearer paths through regulation and deployment.

Teams are preparing for scale earlier and exploring new recruitment models that can support sustained growth, from strengthening leadership layers to embedded hiring solutions designed for higher-volume, high-impact hiring.

The focus is shifting from reacting to demand to building scalable teams with intention.

Find out about embedded recruitment: here.

Products Will Continue Moving from Potential to Proof

By 2026, Swiss deep-tech companies will be under growing pressure to demonstrate real-world impact, not just technical promise. As teams move beyond pilots, the focus is shifting to solutions that deliver measurable business value.

This is driving demand for go-to-market talent that can work closely with technical teams, translate complex capabilities into clear outcomes, and support adoption at scale. In a maturing deep-tech ecosystem, the real impact will come from the teams that can bring products to the market.

Preparing Your Hiring Strategy for What Comes Next

The trends all point towards increasingly complex hiring dynamics in the year ahead. The recruitment process will be more closely tied to long-term business strategy than ever before, and workforce decisions will require greater foresight. 

As teams grow and priorities shift, recruitment decisions will require greater foresight, closer alignment with technical leadership, and the flexibility to adapt as needs evolve. 

At DeepRec.ai, we help pioneering tech companies navigate this complexity, supporting everything from critical early hires to embedded recruitment models that scale with the business. If you’re thinking about how your hiring approach needs to evolve, we’d welcome the conversation.  

Contact us directly for a confidential conversation: Nathan.Wills@deeprec.ai