
Adaptyv Bio · Lausanne / Hybrid / Remote
Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design nove...
Adaptyv is building an automated lab that lets AI agents run biology experiments.
We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on
experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building
the infrastructure that gives AI agents access to the physical world.
We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies
pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today.
Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into
API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens
in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate
assay development.
We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab
experimentation.
You'll be a player-coach — someone who still ships code but also owns the engineering roadmap, team structure, and technical
direction. You'll translate company strategy into engineering priorities, make sure the right things get built in the right order,
and help a small, high-output team scale without losing speed.
You'll lead a small, technical engineering team that leverages AI to build the software infrastructure for running our automated
lab. Your job is to make it the best small engineering team in biotech, and grow it thoughtfully as we scale.
This is not a management-track role where you stop building. You'll stay hands-on, especially as AI agents reshape what a small
engineering team can accomplish. We expect you to be deeply technical, opinionated about architecture, and actively shipping —
while also being the person who ensures the whole engineering org is pointed in the right direction and moving fast.
things break, real experiments fail and real customers are affected
where you build and lead at the same time.
least once before, in a startup or high-growth environment.
and kill — and you make pragmatic tradeoffs that keep things shipping and stop projects from growing out of scope.
to go deep versus when to delegate.
view on how they change team structure, tooling, and workflow.
that should excite you.
Application deadline
We are reviewing applicants on a rolling basis.
Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE We are building the most automated lab in the world, and that does not stop at the bench. A company that AI agents can run experiments in has to automate everything around the experiment too — procurement, hiring, admin, and finance. Finance is one of the most automatable functions in any company and almost nobody has actually done it. We intend to. That is the job: build an AI-powered finance stack. Our ledger, billing, cards and payroll all expose APIs, and we already close the books against them programmatically rather than by hand. You would take that much further, to where the model, the close, the cash view and the margin analysis largely run themselves, and your week goes on the decisions instead of the reconciliation. You would be our first finance hire, and it is hands-on. You will build the forecast, run the close across two entities, own cash, and be the person who can say what a protein actually costs us to make. WHAT YOU'LL DO * Own the forecast. Both directions: bottom-up from lab capacity, throughput and price per protein, and top-down P&L, burn and runway. * Own gross margin. What does an experiment actually cost us — DNA, reagents, consumables, instrument time, labour? Which products and which customers lose us money? * Own pricing, with commercial. What we charge, why, and where the floor is. Pricing at a lab company is a finance question wearing a sales hat. * Own the close. Group consolidation and intercompany management. Make it fast, make it correct, make it boring. * Own cash. Bank and card accounts across Switzerland and the US, AP runs, AR collection, payment timing. Know where the money is and where it is going before anyone asks. * Keep us compliant. Tax, VAT, audit, payroll, and the external firms we work with. You are not a lawyer or an accountant, but you know when to call one. * Investor reporting, fundraising support, and treasury management. * Equipment leasing and asset management. The lab runs on millions of francs of instruments. Lease or buy, how we finance it, what it does to the balance sheet, and keeping the asset register honest as we expand. * Automate all of the above. WHAT WE'RE LOOKING FOR * You have built a finance function, not just worked in one. Several years in finance at a startup that actually scaled, and ideally you were early enough to have set things up rather than inherited them. * You can build a real model. Not a template. A model that ties operational reality — throughput, yield, capacity, headcount — to cash, and that survives someone pulling on it. * You write code, or you are visibly about to. SQL at minimum, Python ideally. This is the hard requirement most finance candidates will fail, and we mean it. We run on Claude Code across the company, and every system finance touches has an API behind it. The best version of this person automates their own function, writes their own tooling, and finds leverage the rest of us have not thought of. If your instinct is that finance is a spreadsheet-and-portal job, we will frustrate each other. * You understand the cost structure of a physical business. Reagents, instruments, consumables, capex versus COGS, yield loss. Lab, hardware, or manufacturing backgrounds all translate. Pure SaaS finance does not, on its own. * Swiss and European finance experience. VAT, social charges, employment law. A US entity alongside a Swiss one is a plus. * Ambitious, and in it for the company. We want someone who intends to be running finance at a much larger Adaptyv in three years, and who cares about what we are building rather than the title on the door. * Trustworthy with everything. Salaries, revenue, investor communications, board material. All of it crosses your desk. SCOPE We are a small company and nobody here has clean edges around their job. You will end up in the lab, in a room with a customer, and every so often doing something that is nobody's job simply because it needs doing. The centre of gravity is the numbers: the model, the close, cash, margin, pricing, and the board pack. That is the part that is yours and the part we will judge the role on. Procurement is a separate hire and the two of you will be joined at the hip on cost, but the sourcing and the vendor relationships are not yours to run. One thing it is not: a bookkeeping seat. The mechanical layer is handled, and if that is the job you want, this one will bore you. WHY THIS ROLE IS INTERESTING Most first-finance-hires at a startup spend three years cleaning up a SaaS P&L. Here, the finance question and the product question are the same question: an automated lab is a machine for converting money into experimental data, and how efficiently it does that is literally the business. You will be building the model of that machine, at a company that is about to expand it several-fold, while it is being used by the best pharma companies and the best AI labs in the world. And you will do it with a founding team that will hand you the API keys and get out of your way. Application deadline We are reviewing applicants on a rolling basis.
STELLENBESCHREIBUNG Als Head of Software Transformation (m/w/d) bist du verantwortlich für die Weiterentwicklung und das Wachstum unseres Service Angebots rund um System Design und Architecture, sowie Software Modernisation. Du begeisterst dich für Enterprise Architektur und agile Softwareentwicklung, erarbeitest Strategien für deinen Geschäftsbereich, stärkst Kundenbeziehungen und die Marktposition von SQUER. Zudem förderst und inspirierst du dein Team als charismatische Führungspersönlichkeit. 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Zudem verstehst du deine Rolle als Vermittler:in und hast ein Problem-Solver Mindset. * Du verstehst dich als charismatische Führungsperson mit einem hohen Maß an Empathie, einem gesunden Leistungsverständnis und einer stark ausgeprägten sozialen Kompetenz. * Du nutzt bereits aktiv KI-gestützte Tools (zB Code assistants, LLM-basierte workflows), um deine Produktivität und Effizienz zu steigern - oder du möchtest gerne damit beginnen. * Du besitzt ausgezeichnete Deutsch- und Englischkenntnisse in Wort und Schrift und Kommunikation gehört zu deinen großen Stärken. DEINE BENEFITS Warum du es lieben wirst, bei SQUER zu arbeiten: * Verantwortung & Eigeninitiative: Bei SQUER setzen wir auf die Eigenverantwortung unseres Teams. In unseren flachen Hierarchien zählen deine Ideen und Handlungen mehr als Titel. 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Für deine Weiterbildung stehen dir bis zu 40 Stunden/Jahr zusätzliche freie Zeit zur Verfügung. * Spannende Herausforderungen & echter Impact: Arbeite an vielfältigen Projekten, bei denen dein Beitrag wirklich einen Unterschied macht – für unsere Kunden und für SQUER. * Flexibilität für Höchstleistungen: Profitiere von hybriden Arbeitsmodellen, flexiblen Arbeitszeiten, Workations innerhalb der EU und zusätzlichen Urlaubstagen – so kannst du deine beste Leistung erbringen. * Individuelle Ausstattung für deinen Erfolg: Wähle die Hardware, die am besten zu deinem Arbeitsstil passt und nutze unsere Auswahl an KI-Tools und Lizenzen (Anthropic, OpenAI, oder andere). * Wir schätzen dich: Neben zahlreichen Benefits bieten wir ein wettbewerbsfähiges Jahresgehalt, um deinen außergewöhnlichen Einsatz zu honorieren. * Teil einer starken Teamkultur: Zusammenarbeit und Verbindungen stehen bei uns im Mittelpunkt. 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ABOUT THE CONSTRUCTOR GROUP Constructor Group is driven by the belief that knowledge is the solution to all evil. We are a global institution focused on making scientists, teachers, and students more effective and efficient. Our integrated ecosystem focuses on fundamental technology needs relevant to science and education: generative AI, MetaPresence, computing, robotics, energy, health & bio, and neuroscience. Constructor Group consists of three main pillars – Constructor Knowledge, Constructor Capital, and Constructor Tech – uniting science, technology, and education around a single deeply fundamental and yet very applied mission. ABOUT THE ROLE Constructor Group is looking for a Head of Engineering to lead the company’s technology and software development function. This role is responsible for defining and executing the technology strategy, managing engineering teams, ensuring high-quality product delivery, and building scalable, reliable, and secure technology solutions. The ideal candidate is a strong technical leader with a hands-on engineering background, experience managing development teams, and the ability to align technology decisions with business goals. KEY RESPONSIBILITIES * Lead the software development function and manage engineering teams. * Define and execute the technology strategy in alignment with business and product goals. * Own the development roadmap together with product, business, and executive stakeholders. * Ensure timely and high-quality delivery of software products and technical solutions. * Build scalable, secure, and reliable architecture. * Review and improve engineering processes, development standards, code quality, and release management. * Manage technical priorities, resource allocation, and delivery risks. * Lead, mentor, and develop engineering managers, team leads, architects, and developers. * Support recruitment, onboarding, and performance management for technical teams. * Drive best practices in software development, testing, DevOps, security, and documentation. * Evaluate and select technologies, tools, frameworks, and vendors when needed. * Communicate technical decisions, risks, and progress to senior leadership in a clear, business-oriented way. REQUIREMENTS * Proven experience as a CTO, Head of Engineering, VP Engineering, Head of Development, or similar senior technology leadership role. * Strong hands-on background in software engineering and system architecture. * Experience managing engineering teams and technical managers. * Strong understanding of modern software development practices, cloud infrastructure, DevOps, CI/CD, security, and scalable architecture. * Experience delivering complex digital products or platforms. * Ability to balance strategic technology vision with hands-on execution. * Strong leadership, problem-solving, and decision-making skills. * Experience working in fast-paced, international, or matrix organizations. * Excellent communication skills with both technical and non-technical stakeholders. * Fluent English and Spanish are required NICE TO HAVE * Experience in EdTech, SaaS, AI, data platforms, enterprise software, or digital learning products. * Experience with distributed international engineering teams. * Experience in technical transformation, platform modernization, or scaling engineering organizations. * Previous startup or scale-up experience. SUCCESS IN THIS ROLE LOOKS LIKE * A clear and realistic technology roadmap is in place. * Engineering teams deliver predictably and with high quality. * Technical architecture supports business growth and product scalability. * Communication between product, engineering, and business stakeholders is smooth. * Development processes become more structured, transparent, and efficient.