Seventy-six European deeptech spinouts reached either unicorn status or $100M in revenue in 2025, according to analysis published by Entrepreneur Loop of European deep tech commercialisation outcomes. Dealroom tracks over 19,000 European companies classified as deeptech across robotics, advanced manufacturing, autonomous systems, computer vision, quantum technologies, and industrial AI. The funding flowing into European deeptech has never been larger. Wayve raised $2.3 billion. Helsing raised $1.4 billion. The commercial problem inside most of these companies, the gap between a technology that works and a revenue line that compounds, remains the most consistently underfunded and mismanaged challenge in the sector.

The commercial leadership appointment at a European deeptech startup is almost always made too late and with the wrong profile. The founding team, typically scientists or engineers, carries commercial relationships through the first three to five customers. The technology proves itself. The board pushes for commercial scale. A VP Sales or CCO deeptech search opens. The brief describes an enterprise SaaS commercial leader with a track record of scaling ARR and building sales organisations. The shortlist fills with excellent B2B SaaS salespeople. One gets hired. Within 18 months, the pipeline looks nothing like the SaaS pipeline the board expected. The deeptech commercial leader is replaced. The next search opens with a nearly identical brief.

We have partnered with European deeptech startups on deeptech commercial leadership searches, alongside calibration searches at industrial AI, robotics, and advanced manufacturing companies across Europe. Across those mandates, the pattern is consistent and specific. The brief attracts the wrong commercial profile, the interview process fails to test the right capability, and the deeptech commercial leader joins with the wrong model of how the sale works. The technology is sound. The commercial execution is not. For more on our executive search work across European deeptech and industrial technology, see our focus areas.

Why the Deeptech Sale Is Not a SaaS Sale With a Longer Cycle

The B2B SaaS sale operates on a set of assumptions that are so deeply embedded in European commercial talent that most SaaS sales leaders do not recognise them as assumptions. The buyer knows they have a problem. The salesperson's job is to connect the problem to the product and move the buyer to a decision. The sales cycle is measured in weeks or months. The contract is a subscription. The deeptech commercial leader builds a motion, trains a team to execute it, and measures progress through pipeline stage conversion rates.

The deeptech sale breaks most of these assumptions. The buyer frequently does not know they have the specific problem the technology solves. The technology often creates an entirely new category of capability: a warehouse robot that handles objects the buyer assumed required humans; a computer vision system that detects product defects at a rate and accuracy that were not considered achievable; an autonomous logistics system that reconfigures itself in real time in ways no existing process was designed to accommodate. The salesperson's first job is not to connect a problem to a product. It is to make the buyer understand that the problem exists and that a solution is now possible.

One candidate, assessed during a deeptech sales search, described the cognitive shift required after moving from B2B SaaS into an industrial robotics commercial role: "In SaaS I had a qualified lead who already understood the category. My job was to move them through stages. In robotics, I spent the first six months of my most senior role explaining to operations directors that the capability I was describing was real. Not explaining the product. Explaining that it was physically possible. The qualified lead in deeptech is someone who has seen the technology work. The first PoC is not a proof of concept for the buyer. It is a proof of possibility for the buyer. That is a completely different sales motion."

The sales cycle in deeptech does not run on 90-day quarterly windows. It runs on the integration timeline, the pilot design period, the validation period, and the commercial negotiation, each of which can add three to six months to the overall timeline. Enterprise deeptech deals at meaningful scale commonly take 18 to 36 months from first contact to signed contract. The deeptech commercial leader who comes from a SaaS background and applies quarterly pipeline management to a 24-month deal cycle will produce a pipeline full of deals that never seem to move, a board that concludes the deeptech commercial leader is ineffective, and a commercial team that is demoralised by expectations that do not match the reality of what they are selling.

The PoC Graveyard Problem

Every deeptech commercial leader who has operated in the sector for more than two years knows the PoC graveyard. It is the collection of proof-of-concept deployments at enterprise customers that ran successfully, produced compelling results data, and then went nowhere. The technology worked. The customer was impressed. The PoC report was positive. And then, six months later, the deal was still not progressing.

The PoC graveyard exists because the deeptech commercial motion that produces successful PoCs is not the same motion that converts PoCs into commercial contracts. A PoC is won by technical credibility, project management capability, and the quality of the technology. A commercial contract is won by business case construction, procurement navigation, change management alignment, and stakeholder management at levels of the organisation that are typically not involved in the PoC. The deeptech commercial leader who is excellent at winning PoCs and poor at converting them has a specific gap: they can build relationships with the technical champion but cannot access or influence the economic buyer.

One candidate, assessed during a deeptech commercial leadership search, described this failure mode from direct experience: "I joined a deeptech company with a strong track record of successful pilots. The technology genuinely worked. What we did not have was a commercial process that turned a successful pilot into a procurement decision. The pilot team was different from the procurement team. The pilot had a champion. The procurement decision had a committee. The champion could not make the committee move. I spent 18 months building the case inside the customer organisation before a single pilot converted to a contract. The sales cycle I had been measuring was the wrong one. I should have been measuring time from committee engagement, not time from pilot start."

The deeptech commercial leader who can navigate the PoC-to-contract conversion is a specific profile. They have experience selling technology that required the buyer to change an established process, not just adopt a new tool. They have built business cases at the CFO and COO level, not just at the head of engineering or head of IT level. They have managed procurement processes that involved legal, finance, and operations stakeholders simultaneously. And they have done this in a category where the reference customers were few, the risk perception was high, and the buyer was making a decision that had no precedent inside their organisation. This profile does not come from SaaS. It comes from deep enterprise technology sales, systems integration, and industrial automation.

The Candidate Profile for a Commercial Leader at a European Deeptech Startup

Non-negotiables

• Has sold technology that required the buyer to change a core operational process. The commercial leader who has only sold software that sits on top of existing processes has not managed the full complexity of a deeptech deployment. Deeptech products require change: change to how the production floor operates, to how quality inspection is staffed, to how logistics routing is managed, to how maintenance is scheduled. The buyer who resists this change will run a successful PoC and never deploy at scale. The deeptech commercial leader who has not managed organisational change resistance as part of the sales process has not faced the primary obstacle between a working PoC and a commercial contract.
• Has built a business case at CFO level for a technology investment that had no direct comparator. In a SaaS sale, the CFO comparison is usually between the product cost and either existing software cost or a measurable productivity improvement. In a deeptech sale, the CFO is being asked to approve capital investment in a technology that often has no direct comparator in the company's budget history. The deeptech commercial leader who can build the ROI case for a €500,000 robotics deployment against a baseline of manual labour costs, process downtime, and defect rates, and present it credibly to a CFO who has never approved a budget line like it, is doing a different job from the SaaS AE who quotes against a competitor. Ask candidates to describe the most complex business case they have built from scratch. The depth and specificity of the answer is the test.
• Has managed a sales cycle of more than 12 months through multiple stakeholder transitions at the buyer. Enterprise deeptech deals commonly outlast the original champion, cross fiscal year boundaries, and survive one or two reorganisations at the buyer. The deeptech commercial leader who has managed a deal through a key champion leaving, a new procurement policy being introduced, or a budget freeze that paused a signed LoI for six months has the durability the role requires. Ask candidates to describe the longest deal they have ever closed and the specific obstacles that extended it. The obstacles reveal the commercial environment they have been operating in.

What separates the good from the great

• The deeptech commercial profiles that perform consistently at European startups share one capability that the brief never tests for: they understand the technology well enough to adjust the commercial conversation in real time when the technical discussion changes direction. The deeptech buyer who is evaluating a robotics or vision system will frequently take the conversation into technical territory, whether to test the vendor, to understand limitations, or because the champion is an engineer who communicates in technical terms. The deeptech commercial leader who freezes when this happens, or who defers entirely to the technical team in every customer meeting, signals that they are not a peer to the customer's technical leadership. The deeptech ommercial leader who can hold a substantive technical conversation without claiming technical authority, who knows what questions to ask and what answers matter for the commercial decision, creates trust with the technical champion and the economic buyer simultaneously.
• The strongest feeder profiles for deeptech commercial leadership in Europe come from a narrow set of companies that operate at the intersection of deep technology and enterprise deployment. NavVis commercial alumni, who have sold industrial spatial intelligence systems into large manufacturing and logistics enterprises, understand the PoC-to-deployment conversion problem from the inside. Celonis alumni who worked on mining and automation deployments, rather than pure SaaS sales, have experience building ROI cases for process change at enterprise scale. KUKA and ABB robotics commercial alumni understand the industrial buyer's procurement process and change management resistance better than any SaaS commercial profile. Siemens industrial software alumni understand how large enterprise customers evaluate and procure industrial technology over multi-year cycles. For more on how we approach commercial leadership searches at European deeptech companies, see our executive search work across industrial and deeptech mandates.

Red flags

• Candidates who describe their commercial track record exclusively in SaaS metrics: ARR, MRR, pipeline velocity, quota attainment. These are valid measurements in the context they were earned. They are not the measurements of deeptech commercial success. The deeptech commercial leader who can only describe their career in SaaS terms has not operated in an environment where those measurements were insufficient. The deeptech commercial role will make every SaaS assumption visible within six months. The candidate who does not know this has not thought through what the role requires.
• Candidates who have never managed a deployment. The deeptech commercial leader who passes the deal to a separate implementation team at contract signature and never engages again has not seen the full commercial cycle. In deeptech, the deployment is a critical part of the commercial relationship. A deployment that runs poorly produces a reference customer who will not recommend the technology. A deployment that runs well, with the deeptech commercial leader actively involved, produces a reference customer who becomes an advocate, who introduces the company to peers, and who expands the contract at renewal. The deeptech commercial leader who does not understand post-sale as a commercial function has a gap in their model of how deeptech revenue compounds.
• Candidates who cannot describe how they would approach a customer who had a successful PoC but had not made a commercial decision in nine months. This is the most common scenario in deeptech commercial leadership and the one that separates competent enterprise salespeople from deeptech commercial leaders. The SaaS AE applies urgency tactics: competitive pressure, quarter-end incentives, contract deadline framing. These tactics produce two outcomes in a deeptech PoC stall: either the customer says no more quickly or the champion is embarrassed in front of the internal stakeholders who need to approve the deal. The deeptech commercial leader who has handled this situation describes a process of stakeholder mapping, business case amplification, and identifying the internal political blocker that is holding up the procurement decision. Ask for a specific story. The specificity is the data.

Where the Talent Is for a European Deeptech Commercial Leadership Search

The talent pool for genuine deeptech commercial leaders is small, concentrated, and poorly visible because the best profiles rarely have job titles that signal their distinctiveness. A NavVis commercial leader has a VP Sales title. A KUKA commercial director has a commercial director title. These titles look identical in a standard sourcing motion to the SaaS VP Sales profiles that dominate the inbound pool. The distinction shows up only when you look at what they actually sold, to whom, and what the deployment looked like.

NavVis, Dexory, and Inpixon alumni

They are the most relevant feeder for autonomous systems and spatial intelligence commercial searches. These companies sell to large manufacturing, logistics, and infrastructure enterprises where the deployment changes how a physical environment is documented, managed, and operated. The commercial leaders who have been inside these companies at growth stage have faced the PoC conversion problem, the multi-stakeholder procurement process, and the change management resistance that defines deeptech enterprise sales.

KUKA, ABB, and Fanuc European commercial alumni

They are the strongest feeder for robotics commercial searches where the buyer is an industrial enterprise with an established procurement process for capital equipment. These candidates understand industrial procurement timelines, the role of the engineering team in vendor evaluation, and the business case structure that makes a robotics investment comparable to other capex decisions. They are not growth-stage startup operators by default, which means they need a counterweight of startup commercial experience in the team. But they understand how the industrial buyer thinks in a way that no SaaS commercial profile can replicate.

Celonis enterprise deployment alumni

They are particularly relevant for deeptech companies whose technology requires significant process change at the buyer. Celonis built its market by making process mining relevant to COOs and CFOs, not just IT teams. The commercial leaders who sold and delivered Celonis deployments at enterprise scale have built ROI cases for process change at the level the deeptech commercial leader needs to operate. And they have done it inside a company that was itself growing fast without the safety of an established category.

A note on the talent pool

The highest-risk sourcing motion for a European deeptech CCO search is one that begins with a SaaS ARR filter. The commercial leaders who will succeed in deeptech are hidden behind SaaS titles. The way to find them is to look at the technology they sold, the deal cycles they navigated, and whether their deployments required the buyer to change a core process. These questions do not appear in a LinkedIn search. They appear in a first conversation with every candidate on the list.

Why the European Deeptech Commercial Leadership Search Keeps Going Wrong

The brief is written by investors who have scaled SaaS businesses

‍The most consistent brief failure in European deeptech commercial searches is a job description written by a board that has scaled SaaS businesses. The brief describes a commercial leader who can build a repeatable SaaS revenue motion because the board members who approved it know what a repeatable SaaS revenue motion looks like. The deeptech commercial motion is not repeatable in the SaaS sense. Every deployment is substantially different. Every enterprise buyer is at a different point in their adoption journey. The motion that worked for the first five customers will not work for customers six through fifty without significant adaptation. The deeptech commercial leader who joins expecting to run a SaaS playbook will spend their first six months discovering it does not apply.

What works: before writing the brief, ask the founding team to describe the longest deal in the company's history, how it was won, and what the deployment looked like. The brief that comes from that conversation looks nothing like a SaaS CCO brief. It describes a commercial leader who can manage complexity, navigate multi-year procurement processes, build business cases from scratch, and keep a deal alive through stakeholder transitions at the buyer. That brief attracts a very different candidate.

The interview process tests pipeline management, not deal complexity

‍Most commercial leadership interview processes at European deeptech companies include a pipeline review exercise, a go-to-market planning session, and a team leadership discussion. None of these tests the capability that determines deeptech commercial success. A SaaS VP Sales can produce a credible go-to-market plan. A SaaS VP Sales can describe pipeline management in confident and specific terms. The test that matters is the PoC-to-contract conversion scenario. Present the candidate with a real or composite customer situation: a successful PoC, nine months of inactivity, a champion who is positive but unable to move the internal process. Ask the candidate to describe exactly what they would do in the next 90 days to get the deal moving. The answer tells you whether you are talking to a SaaS commercial leader or a deeptech one.

What works: add a structured scenario session to the commercial leadership interview process using a real stalled PoC from the company's pipeline. Run it with the CEO and the head of engineering present. The deeptech commercial candidates who can engage with the technical dimension of the scenario while managing the commercial dimension simultaneously are showing you the capability the role requires. The SaaS candidates who treat the technical dimension as someone else's problem are showing you the gap.

The commercial leader is given a SaaS revenue target in year one

‍The most structural cause of commercial leadership failure in European deeptech startups is a year-one revenue target built on a SaaS pipeline velocity assumption. If the typical deeptech deal takes 18 to 24 months from first contact to contract, the deeptech commercial leader cannot produce meaningful year-one revenue from deals they opened themselves. The deeptech commercial leader who joins in January and is expected to hit €2M ARR by December is being measured against a timeline that the physics of their sales cycle makes impossible. The result is a commercial leader who takes short-cycle deals at lower contract values to hit the target, building a customer base of small-scale deployments that do not compound, rather than investing in the large enterprise deployments that would define the company's commercial future.

What works: build the year-one commercial target around pipeline development metrics and PoC conversion rates, not closed ARR. Define success in year one as: X enterprise pilots initiated, Y pilots converted to commercial agreements, Z additional qualified prospects at PoC stage. The deeptech commercial leader who achieves this target has built the foundation for a commercial business that compounds in years two through four. The one measured against closed ARR in year one has been set up to fail.

The search conflates enterprise software sales with deeptech sales

‍The most common sourcing error in European deeptech commercial searches is treating any enterprise software sales background as equivalent qualification. A VP Sales who has closed €5M ARR at a B2B SaaS company has done something real. They have not done something that transfers directly to a deeptech commercial role without significant translation. The enterprise software buyer has a budget for software. The deeptech buyer typically does not have a budget line that maps to the investment required. The enterprise software buyer knows what they are buying at the point of evaluation. The deeptech buyer is frequently still being educated about what is possible at the point of evaluation.

What works: define the commercial leadership candidate profile around the buyer they have sold to, not the technology they have sold. A candidate who has sold to an operations director, procurement committee, and CFO simultaneously, in a deal that required capital investment approval and change management planning, has the buyer-management capability the role requires. The technology they sold matters less than the commercial complexity they navigated. For more on how The Big Search identifies deeptech commercial leaders across Europe, see our current work across industrial and deeptech mandates.

Compensation

Based on live searches and candidate conversations across CCO, VP Sales, and Managing Director mandates at European deeptech startups across robotics, industrial AI, autonomous systems, and computer vision:

• Base salary: €150k to €220k. London-based deeptech commercial roles sit at £170k to £240k. Munich, Berlin, and Amsterdam roles sit at €150k to €200k. The spread within DACH is wide: deeptech startups based in manufacturing hubs (Stuttgart, Munich, Hamburg) often benchmark against industrial company compensation rather than startup benchmarks.
• Variable: 20 to 40% of base, typically tied to contract value signed, PoC conversion rates, and pipeline development. Deeptech commercial variable structured entirely on signed ARR in year one is the structure most likely to produce short-cycle deal chasing at the expense of large-enterprise pipeline development.
• Equity: 0.1 to 0.35% at Series A and B. The deeptech CCO who joins before commercial repeatability is proven is taking a real risk alongside the founding team. The equity offer should reflect the difficulty of the commercial problem they are being asked to solve, not just the seniority of the title.
• Total OTE: €190k to €330k across the European market, with London at the upper end and DACH manufacturing hubs occasionally lower on base but stronger on variable and equity for the right profiles.

The Diagnostic to Run Before the Search Opens

Before writing your deeptech CCO brief, map the three longest deals in the company's history from first contact to signed contract. Identify every stakeholder who had a role in the decision, every obstacle that extended the timeline, and the specific moment at which each deal was actually won. The brief that describes the commercial capability required to navigate those three deals is the right brief. The brief written against a SaaS CCO template will fill the shortlist with the wrong candidates and produce the outcome it has produced in every previous search: a deeptech commercial leader who understands what they were hired to do and discovers six months in that the job is different from what the brief described.

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The Big Search partners with European deeptech startups on commercial leadership searches, including CCO and VP Sales mandates where the commercial complexity of the technology is the defining factor in the search. If you are opening a commercial leadership search at a deeptech company and want to pressure-test the brief against what the role actually requires, we are glad to have that conversation.