The moment a European deeptech company moves from prototype to first production run is the moment most deeptech COO searches go wrong. Not because the wrong person is hired, exactly. Because the brief describes a different role from the one the business actually needs at that transition point, and the shortlist reflects that description faithfully.

We mapped 426 European deeptech startups for a research piece published in March 2026: companies founded after 2010, between Series A and G, turning raw materials into finished products in factories or production facilities across energy, transportation, defence, robotics, semiconductors, quantum, and advanced engineering. We identified 176 current operational leaders at VP level and above across 159 of those companies. That means 267 companies in the same universe had no senior operational leadership at all. The demand gap is not a future problem. It is already here, and the European deeptech manufacturing COO market is not moving fast enough to close it.

Of those 176 operational leaders we identified, only 12.5% had previously held a C-level operational role. That means fewer than one in eight had personally overseen the full industrial backbone of a vertically integrated manufacturer: end-to-end responsibility across purchasing, supply chain, manufacturing, logistics, and quality. The rest had come up through functional leadership in large industrial organisations, carrying deep expertise in one domain but not the full picture. For a deeptech company moving from lab to first production run, that gap is consequential.

The search brief rarely acknowledges it. Most European deeptech manufacturing COO searches describe someone who can run what has already been built. The company needs someone who can build what has never existed. Those are different profiles, and the interview process consistently fails to distinguish between them.

We have partnered with European deeptech and advanced manufacturing companies on COO and operational leadership searches. The brief describes operational stability. The role requires industrial invention.

Why the European Deeptech Manufacturing COO Brief Gets Written Wrong

The people who write European deeptech manufacturing COO briefs are typically founders or scientific leaders who have spent years getting the technology to work. They have solved the hard physics or chemistry problem. When they turn to the operational challenge, they instinctively frame it the way they frame engineering problems: as something to be optimised once the design is fixed.

Manufacturing in deeptech does not work that way. The production system is frequently being invented alongside the product. A green steel manufacturer building its first direct reduction plant is not operating a known process faster. It is working out what the process actually is while simultaneously building the facility that will run it. A solid-state battery manufacturer does not inherit a mature production methodology from the automotive industry. It is creating one in conditions where the technology readiness level and the production readiness level are moving simultaneously, and neither has a stable baseline.

"Most ops leaders who thrived in traditional manufacturing were trained to optimise stability," Benjamin Rauser, COO of Orbem, told us when we conducted this research. "In deeptech, the instinct to stabilise too early is actually a risk. The production system needs to stay flexible longer than it feels comfortable to do so."

The brief that describes a Chief Operating Officer who will bring order to operations is writing for the wrong phase of the business. It will attract leaders whose instinct is to close down variation and lock in process. Deeptech manufacturing at scale-up stage needs a COO whose instinct is to manage variation intelligently while building toward the production system the company will eventually need. That is a different cognitive mode, and it does not emerge from a standard brief.

The Capability Gap the Data Reveals

Beyond the brief problem, our research surfaced a second structural gap: digital and software capability. Only 27.3% of the deeptech manufacturing operational leaders we identified reported skills in automation, digitalisation, or factory data in an operational or production environment. Not familiarity with the systems. Not awareness of the concepts. Actual operational experience applying them in a production context.

This matters because European deeptech manufacturing companies are not building traditional factories. They are building software-defined production environments where hardware, firmware, and manufacturing process interact in a single feedback loop. A solid-state battery production line monitors cell formation in real time and adjusts deposition parameters autonomously. An electrolyser manufacturing facility uses sensor data from each unit produced to refine the stack assembly process for the next batch. The deeptech manufacturing COO who manages this environment by reviewing dashboards and tracking output KPIs is not operating at the level the role requires.

"The competitive advantage in 2036 will not be who has the best robots or the most AI," Dr. Jens Palacios Neffke, Practice Head of Manufacturing Performance at Mews Partners and Lecturer at the Technical University of Berlin, told us. "It will be who knows what to do with the data those systems generate continuously. That capability is genuinely rare in the current operational leadership pool."

The deeptech manufacturing COO who cannot work at the intersection of hardware performance data and production process design is leaving value on the table in every production cycle. For a deeptech scale-up where the unit economics of the first 10,000 units determine whether the business model is viable, that is not a marginal gap. It is a foundational one.

For context on how this digital capability gap plays out across deeptech leadership more broadly, our analysis of why European deeptech commercial leadership searches consistently underestimate the technical fluency requirement maps the same structural pattern across the commercial function.

The Candidate Profile

Non-negotiables

The European deeptech manufacturing COO candidates who succeed in this environment share a set of hard requirements that the standard COO brief almost never names explicitly.

First: demonstrated experience leading industrialisation from prototype to first production volume, not joining a company where that transition had already happened. The distinction is critical. A deeptech manufacturing COO who joined an automotive tier-one supplier after its production processes were certified and running has managed a factory. A Chief Operating Officer who took a working prototype of a novel materials product and built the production system from scratch has done the deeptech manufacturing job. These are different CVs and they produce different outcomes at the moment a deeptech scale-up needs them most.

Second: tolerance for technical ambiguity at the process level. Traditional manufacturing leaders are trained to eliminate ambiguity. Deeptech manufacturing leaders at scale-up stage must manage it. The candidate who instinctively closes down variation before the production process is sufficiently understood will lock in inefficiencies that compound at scale. The candidate who can hold ambiguity open while building toward resolution has the right instinct for this environment.

Third: the ability to manage a workforce that combines scientific and engineering talent with production operators. Deeptech manufacturing teams at Series B and C often carry a higher proportion of PhD-level scientists and engineers than any comparable company in traditional industry. These employees do not respond to standard production management disciplines. They require a different leadership approach, and the Chief Operating Officer who has only managed conventional manufacturing workforces will encounter this in the first quarter.

What separates the good from the great

The strongest European deeptech manufacturing COO candidates understand geopolitical and supply chain risk as a design input, not a risk management function. Giuseppe Lacerenza, Partner at Keen Venture Partners, told us directly: "Manufacturing decisions will increasingly tie to national security, technological sovereignty, and long-term resilience. The COOs who perform well will understand the socio-economic and political circumstances around them and prepare now, not react later."

A European green hydrogen equipment manufacturer building a supply chain for platinum group metal catalysts is not making a procurement decision. It is making a geopolitical bet. The COO who treats it as a procurement optimisation problem is operating with an incomplete picture. The candidates who have worked in defence, dual-use, or semiconductor manufacturing, where supply chain sovereignty is a first-order design constraint, carry this awareness as a baseline. Most industrial manufacturing COOs do not.

The second differentiator is capital efficiency discipline during rapid scaling. Deeptech manufacturing scale-ups are capital-intensive by definition. The difference between a production ramp that preserves flexibility and one that locks in assumptions too early is frequently the difference between a company that can respond to learning from its first production batches and one that has built itself into a corner. The deeptech manufacturing COO who has scaled physical production in a capital-constrained environment, where every capex decision carries long-term process implications, operates differently from one who has managed growth in a well-funded industrial incumbent.

Our executive search practice for European deeptech and advanced manufacturing is built around finding this combination, because it does not appear in the standard operational leadership candidate market at volume.

Red flags

Candidates whose entire operational career sits within traditional automotive, aerospace, or industrial manufacturing present a specific risk that the brief rarely names. It is not that the experience is irrelevant. It is that the instinct built in those environments, to optimise for stability, lock in process, and eliminate variation, is the wrong default mode for a deeptech manufacturing scale-up. The candidate who describes their primary contribution as "bringing discipline and rigour to the production environment" is describing an outcome, not a capability. The question is whether they can hold the production environment open long enough for the learning to accumulate before closing it down.

Candidates who cannot articulate their own approach to software-defined manufacturing are operating with a gap that closes slowly. This is not about requiring deep technical knowledge of automation systems. It is about whether the candidate has thought seriously about what it means to run a production environment where the factory is, as our research put it, becoming closer to a decision-making entity that monitors its own performance, flags its own inefficiencies, and adjusts in real time. A COO who has not engaged with this question has not thought carefully enough about where deeptech manufacturing is heading.

Where the Talent Is

The qualified pool for European deeptech manufacturing COO searches is genuinely narrow. The combination of industrialisation experience, digital and software fluency, scientific workforce management, and supply chain sovereignty thinking exists in perhaps 50 to 100 people across Europe at Chief Operating Officer or near-COO level.

The most productive feeder sectors, based on our research, are aerospace, highly autonomous robotics, and defence. These environments share the prototype-to-production transition challenge, the mixed hardware and software operating context, and the geopolitical supply chain dimension. Leaders who have built production capability in these sectors carry directly applicable experience. They are not always visible in deeptech-specific hiring searches because deeptech companies tend to search within their own sector adjacency and miss the cross-sector talent that matches the actual role requirements.

The second pool is advanced semiconductor manufacturing. ASML, Infineon, and the broader European semiconductor supply chain have produced operational leaders who understand complex, precision-critical production environments with long technology development cycles and high capital intensity. The domain knowledge translation from semiconductors to, for example, solid-state battery manufacturing or advanced photonics is non-trivial but achievable. The operational discipline is directly applicable.

Life sciences manufacturing, specifically advanced therapy medicinal products and novel medical device production, provides a third feeder. The regulatory environment is different, but the challenge of building a GMP-compliant production system around a novel product while the product itself is still being refined maps closely onto what a European deeptech manufacturing COO faces in their first 18 months.

"The next generation of ops leaders will likely come from sectors that have already mastered rapid iteration under pressure," Dr. Palacios Neffke observed. "Aerospace, highly autonomous robotics, and defence have done that. The candidates who have been through a production ramp in those environments, where failure has real consequences and the technology was still being defined during build, are the closest match for what deeptech manufacturing actually needs."

Across our research mapping 426 deeptech scale-ups in Europe, the proportion of visible operational leaders with the full combination of capabilities, industrialisation from scratch, digital production fluency, and supply chain sovereignty thinking, in a single profile sits below 8% of the identified pool. The brief that searches for operational experience broadly will find candidates. It will not find many who are qualified for the specific moment a deeptech scale-up faces when its first production line goes live.

Why the European DeepTech Manufacturing COO Search Keeps Failing

The brief is written for the wrong phase.

Most European deeptech manufacturing COO searches are opened when the company is 12 to 18 months from first production volume. The board and founder are looking forward to the operating challenge: running the facility, managing headcount, hitting unit cost targets. They write a brief for that future state. The person who joins needs to build the production system that makes that future state possible. Those are sequentially dependent tasks, but the brief describes only the second one. The candidates who excel at the second task are not always the candidates who can execute the first.

What works: before the brief is written, map the 10 decisions that need to be made in the first 12 months of the COO's tenure. If more than half of them involve building, certifying, or designing a production process that does not yet exist in its final form, the brief needs to describe an industrialisation leader, not an operations manager. The distinction changes the sourcing strategy, the interview process, and the equity structure simultaneously.

The interview process tests for the wrong phase too.

Deeptech manufacturing COO interviews consistently test supply chain management, team leadership, and cost reduction experience. These are valid inputs for an established manufacturing operation. They are insufficient for a scale-up building its first production run. The candidates who perform best in these interviews are frequently the candidates who have run mature factories well. The candidates who would perform best in the role are those who have built factories from prototype, and they often do not tell that story in a way that scores well on a standard Chief Operating Officer competency framework.

What works: add a scenario built around a production ramp decision under uncertainty. Present a candidate with a technology readiness level of 7, a committed customer delivery date 14 months out, and a process variable that has not been fully characterised at production volume. Ask what they do in the next 90 days. Candidates who have been in that position have a concrete and specific answer. Candidates who have not will describe a process that assumes information they would not yet have.

The equity offer does not reflect the complexity.

A European deeptech manufacturing COO who is building a first-of-kind production system, managing a scientifically credentialed workforce, navigating dual-use or sovereignty supply chain constraints, and running the capital allocation process for a facility that will define the company's unit economics for a decade is operating at a complexity level that standard COO equity benchmarks do not capture. Our research into deeptech leadership compensation across Europe shows consistently that the deeptech manufacturing premium sits 25 to 40% above equivalent COO packages in SaaS or software businesses at the same funding stage. Companies that benchmark against software COO equity lose the qualified candidates to those that price the complexity correctly.

Compensation

Based on live searches and candidate conversations across European deeptech manufacturing COO and operational leadership searches in advanced manufacturing environments, cross-referenced with data from the UK, Germany, France, the Netherlands, and Sweden, the current market range looks like this.

Base salary runs between €150,000 and €220,000 depending on company stage, geography, and production complexity. UK-based roles with Series C backing and a live production facility sit at the upper end. Munich and Stuttgart, where the concentration of deeptech manufacturing scale-ups is highest in Germany, run slightly below London equivalents. Stockholm and Eindhoven sit broadly in line with the German range.

Variable pay runs between 15 and 30% of base. The strongest structures tie variable to production milestones and technology readiness progression, not to financial KPIs that the company cannot yet generate reliably. A COO who delivers first production volume on time and on specification has created more value than any financial metric will capture in year one, and the compensation structure should reflect that.

Equity is the most important component and the most frequently mispriced. A deeptech manufacturing COO who joins at Series B with a production horizon of 18 months and a potential exit horizon of 8 to 12 years is taking a duration risk that most COO equity packages are not designed to compensate. The founding team typically holds equity from a time when the production risk did not exist. The COO is joining at the moment of highest operational risk. That asymmetry should be priced in. Total OTE for a European deeptech manufacturing COO at a company with €30 million to €150 million total funding typically runs between €185,000 and €280,000, excluding equity upside.

The Question Worth Asking Before the Search Opens

Ask the founding team one question before writing the brief: when our first production line runs at target volume, what will have been the three hardest operational problems the COO solved to get there?

If the answers involve building a production process that did not exist, certifying a novel manufacturing method, and qualifying a supply chain that had no prior European base, the search is for an industrialisation leader. Write that brief. If the answers involve driving efficiency, reducing cost per unit, and scaling headcount, the search is for an operations manager. Write that brief instead.

Most European deeptech manufacturing COO searches conflate these two roles into a single brief and produce a shortlist that does neither well. The companies that separate them, that are honest about which phase the business is actually in when the search opens, find better candidates faster and retain them longer. The ones that write the brief for the phase they wish they were in rather than the phase they are in discover the mismatch at month six, when the production ramp is already behind schedule.

The Big Search partners with European deeptech and advanced manufacturing companies on COO and operational leadership searches. If you are opening a European deeptech manufacturing COO search and want to pressure-test the brief against the actual production challenge your company faces, we can help you define the role around the industrialisation moment, not the operating steady state.