Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
We're looking for Backend Software Engineers who are excited to peek out of the virtual world and join us on designing a platform for optimizing biological systems! Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity.
As a Backend Engineer, you will be responsible for designing and developing a service-oriented decoupled web application, which exposes our advanced machine learning models to scientific end users.
By way of some examples, this means:
Architecting the ways in which we manipulate and store data, e.g. with consideration for how to efficiently store and represent protein sequences and associated metadata, machine learning model predictions, etc.
Architecting the APIs across which we interact with machine learning models, e.g. with consideration for how to version access over time.
Collaborating with biologists, machine learning experts, and scientists alike, and becoming skilled in working in their domains.
We are looking for some selection of the following skills:
You are a fast learner. You can rapidly absorb whatever the problem requires, whether that is a new programming language, an ML algorithm, or biological concept.
You are action oriented and derive true satisfaction from getting things done.
Experience in developing back-end systems in a modern cloud environment.
The Python programming language and its ecosystem.
Familiarity with database system architecture and data warehouses.
You are kind and work well in teams. We look for team players and excellent communicators who contribute to a positive and friendly working environment.
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
","descriptionPlain":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. \n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nWe're looking for Backend Software Engineers who are excited to peek out of the virtual world and join us on designing a platform for optimizing biological systems! Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity.\n\n\n\n\nRESPONSIBILITIES\n\nAs a Backend Engineer, you will be responsible for designing and developing a service-oriented decoupled web application, which exposes our advanced machine learning models to scientific end users.\n\nBy way of some examples, this means:\n\n - Architecting the ways in which we manipulate and store data, e.g. with consideration for how to efficiently store and represent protein sequences and associated metadata, machine learning model predictions, etc. \n\n - Architecting the APIs across which we interact with machine learning models, e.g. with consideration for how to version access over time.\n\n - Collaborating with biologists, machine learning experts, and scientists alike, and becoming skilled in working in their domains.\n \n \n\n\nWHAT YOU BRING\n\nWe are looking for some selection of the following skills:\n\n - You are a fast learner. You can rapidly absorb whatever the problem requires, whether that is a new programming language, an ML algorithm, or biological concept.\n\n - You are action oriented and derive true satisfaction from getting things done.\n\n - Experience in developing back-end systems in a modern cloud environment.\n\n - The Python programming language and its ecosystem. \n\n - Familiarity with database system architecture and data warehouses.\n\n - You are kind and work well in teams. We look for team players and excellent communicators who contribute to a positive and friendly working environment.\n\n\n\n\nOUR COMMITMENT TO INCLUSIVE HIRING\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\n\nAI DISCLOSURE\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\n\nA NOTICE ABOUT RECRUITMENT SCAMS \n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"aa837279-3ccf-4c40-9d8b-40405716ac3b","title":"Scientific Advisor, Antibodies","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"Boston","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2025-07-02T10:30:00.236+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"1 Broadway, Cambridge","addressCountry":"United States","addressLocality":"Boston"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/aa837279-3ccf-4c40-9d8b-40405716ac3b","applyUrl":"https://jobs.ashbyhq.com/cradlebio/aa837279-3ccf-4c40-9d8b-40405716ac3b/application","descriptionHtml":"Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
As a Scientific Advisor within our Customer Success team, you will play a key role in ensuring our customers achieve success with Cradle’s software and services. You’ll act as a trusted partner of biotech and pharmaceutical companies, particularly for biotherapeutic and antibody projects. As part of this role, you’ll assist customers in mapping their program goals and data to Cradle’s capabilities, using our machine learning platform, and maximising the value and impact of our protein optimisation software. For this, you’ll collaborate across Cradle’s engineering, product, and sales teams to ensure a superb customer experience and inform product development to build the most sought-after features.
Work closely with Cradle customers, ranging from medium-sized biotechs to global biopharma leaders, to:
Advise on identifying protein optimisation projects within their portfolios that are best suited to the Cradle platform.
Help translate scientific goals of projects (predominantly biotherapeutics) into objectives for the Cradle platform.
Deeply understand customer assays/workflows – research modalities/targets as necessary to gain a foundation in relevant concepts, assays and workflows.
Ensure quality/formatting of customer data is suitable for machine learning
Train them to use Cradle’s platform.
Collaborate with engineering to ensure our platform outputs optimal protein designs to customers.
Present reports to help the customer interpret and assess platform outputs and forecasts.
Provide recommendations to inform go/no-go decisions and devise the most effective strategy for their projects.
Build and maintain strong relationships with immediate users of Cradle platform within the customer organization, as well as broader business stakeholders. Keep them abreast of results and impact, on both project and portfolio levels.
Help existing customers identify further projects and business units that would benefit from Cradle’s platform, and collaborate with the Cradle sales team to enable these projects through relationship expansion.
Measure and monitor satisfaction of the customers with product as well as service.
Proactively gather customer feedback, and keep the customers informed as their feedback is then turned into improved features and services.
Collaborate with product teams at Cradle to guide product development so as to address customer needs.
PhD in molecular biology, bioengineering, bioinformatics, or a related field.
5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies, with experience with biophysical and/or functional assays.
Deep knowledge of the biopharmaceutical R&D process, methods, and tooling.
Excellent analytical and communication skills, with the ability to translate complex scientific concepts into clear, actionable insights.
Proven ability to build strong relationships with a variety of stakeholders, including scientists and business leaders.
Experience with machine learning
Experience with non-antibody protein modalities, particularly enzymes.
Experience in relationship management and/or sales in biotech or software industry
Proficiency in Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.). Familiarity with SQL.
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
","descriptionPlain":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. \n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\n\n\nYOUR ROLE\n\nAs a Scientific Advisor within our Customer Success team, you will play a key role in ensuring our customers achieve success with Cradle’s software and services. You’ll act as a trusted partner of biotech and pharmaceutical companies, particularly for biotherapeutic and antibody projects. As part of this role, you’ll assist customers in mapping their program goals and data to Cradle’s capabilities, using our machine learning platform, and maximising the value and impact of our protein optimisation software. For this, you’ll collaborate across Cradle’s engineering, product, and sales teams to ensure a superb customer experience and inform product development to build the most sought-after features.\n\n\n\n\nYOUR RESPONSIBILITIES\n\n\n\nSCIENTIFIC ADVISORY\n\nWork closely with Cradle customers, ranging from medium-sized biotechs to global biopharma leaders, to:\n\n - Advise on identifying protein optimisation projects within their portfolios that are best suited to the Cradle platform.\n\n - Help translate scientific goals of projects (predominantly biotherapeutics) into objectives for the Cradle platform.\n\n - Deeply understand customer assays/workflows – research modalities/targets as necessary to gain a foundation in relevant concepts, assays and workflows.\n\n - Ensure quality/formatting of customer data is suitable for machine learning\n\n - Train them to use Cradle’s platform.\n\n - Collaborate with engineering to ensure our platform outputs optimal protein designs to customers.\n\n - Present reports to help the customer interpret and assess platform outputs and forecasts.\n\n - Provide recommendations to inform go/no-go decisions and devise the most effective strategy for their projects.\n \n \n\n\nPARTNERSHIP\n\n - Build and maintain strong relationships with immediate users of Cradle platform within the customer organization, as well as broader business stakeholders. Keep them abreast of results and impact, on both project and portfolio levels.\n\n - Help existing customers identify further projects and business units that would benefit from Cradle’s platform, and collaborate with the Cradle sales team to enable these projects through relationship expansion.\n\n\n\n\nCUSTOMER EXPERIENCE AND VOICE OF CUSTOMER\n\n - Measure and monitor satisfaction of the customers with product as well as service.\n\n - Proactively gather customer feedback, and keep the customers informed as their feedback is then turned into improved features and services.\n\n - Collaborate with product teams at Cradle to guide product development so as to address customer needs.\n\n\n\n\nYOUR QUALIFICATIONS\n\n\n\nMUST-HAVES\n\n - PhD in molecular biology, bioengineering, bioinformatics, or a related field.\n\n - 5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies, with experience with biophysical and/or functional assays.\n\n - Deep knowledge of the biopharmaceutical R&D process, methods, and tooling.\n\n - Excellent analytical and communication skills, with the ability to translate complex scientific concepts into clear, actionable insights.\n\n - Proven ability to build strong relationships with a variety of stakeholders, including scientists and business leaders.\n\n\n\n\nNICE-TO-HAVES\n\n - Experience with machine learning\n\n - Experience with non-antibody protein modalities, particularly enzymes.\n\n - Experience in relationship management and/or sales in biotech or software industry\n\n - Proficiency in Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.). Familiarity with SQL.\n\n\nOUR COMMITMENT TO INCLUSIVE HIRING\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\n\nAI DISCLOSURE\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\n\nA NOTICE ABOUT RECRUITMENT SCAMS \n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"d57784d7-dfc2-4db3-ae8e-2b80a71cbc7f","title":"Engagement Manager, US","department":"Customer Success","team":"Customer Success","employmentType":"FullTime","location":"US East (Remote)","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Boston","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"1 Broadway, Cambridge","addressCountry":"United States","addressLocality":"Boston"}}}],"publishedAt":"2025-10-14T15:12:01.197+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"US","addressLocality":"Boston"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/d57784d7-dfc2-4db3-ae8e-2b80a71cbc7f","applyUrl":"https://jobs.ashbyhq.com/cradlebio/d57784d7-dfc2-4db3-ae8e-2b80a71cbc7f/application","descriptionHtml":"Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
As an Engagement Manager, you’ll ensure that Cradle’s largest customers achieve success across their entire protein R&D portfolio. While your Scientific Advisor peers drive success at the project level, you will own success at the portfolio level — building deep relationships with senior stakeholders, aligning on portfolio success metrics, and ensuring our software and services deliver measurable value across departments and programs.
You’ll serve as a trusted partner to senior leaders in global biopharma and industrial biotech companies, guiding strategic planning, adoption, and expansion of Cradle’s platform. Working closely with Scientific Advisors, Account Executives, and Product teams, you’ll translate Cradle’s scientific impact into business outcomes and long-term partnerships.
Strategic Account Leadership
Oversee post-sale success across global biotech and pharma customers, from initial onboarding to long-term, broad adoption.
Define and track portfolio-level success metrics and ROI, presenting progress to senior customer stakeholders.
Establish and lead steering committees to align stakeholders and ensure Cradle delivers measurable impact.
Understand customer budget cycles, licensing models, and R&D roadmaps to identify timely opportunities for growth and renewals.
Partner with Account Executives to expand Cradle’s footprint across new business units and therapeutic areas.
Program and Relationship Management
Coordinate with Scientific Advisors to ensure smooth project initiation, resource allocation, and execution within licensed project slots.
Manage multi-workstream engagements, ensuring alignment across Science, Product, and ML teams.
Inspire and lead your cross-functional Cradle team to deliver seven star customer experiences.
Act as the primary escalation and coordination point for enterprise accounts.
Customer Experience and Voice of Customer
Solicit, capture and communicate customer feedback, driving improvements in Cradle’s product and service delivery.
Partner with Product and Machine Learning Research teams to align customer strategic priorities and Cradle’s roadmap.
Design and co-create training and education initiatives that empower scientists to succeed on the Cradle Platform.
You will advocate for Cradle’s customers internally without losing sight of the delivery efficiency and interests of the Cradle team.
Must-haves
Deep understanding of biopharma R&D workflows and the ability to confidently engage with executive stakeholders as well as experimental and computational scientists.
5–7+ years in enterprise client-facing roles (program management, consulting, or customer success) ideally in Life Sciences.
Proven ability to lead complex, multi-stakeholder programs and drive measurable ROI.
Strong relationship-building, executive presence, crisp communication, and excellent organizational skills.
Comfortable presenting scientific and business insights to internal and external cross-functional audiences.
MSc or advanced degree in Molecular Biology, Biotechnology, Bioengineering, or a related field, or equivalent professional experience.
Willingness to travel to- and work from customer sites (20% of the time).
Nice-to-haves
Experience managing enterprise SaaS deployments.
Familiarity with services commercials (SOWs, budgeting, resourcing, and change orders).
Experience with machine learning applications in life sciences or biotech.
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
","descriptionPlain":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. \n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\n\n\nYOUR ROLE\n\nAs an Engagement Manager, you’ll ensure that Cradle’s largest customers achieve success across their entire protein R&D portfolio. While your Scientific Advisor peers drive success at the project level, you will own success at the portfolio level — building deep relationships with senior stakeholders, aligning on portfolio success metrics, and ensuring our software and services deliver measurable value across departments and programs.\n\nYou’ll serve as a trusted partner to senior leaders in global biopharma and industrial biotech companies, guiding strategic planning, adoption, and expansion of Cradle’s platform. Working closely with Scientific Advisors, Account Executives, and Product teams, you’ll translate Cradle’s scientific impact into business outcomes and long-term partnerships.\n\n\n\n\nYOUR RESPONSIBILITIES\n\n\nStrategic Account Leadership\n\n - Oversee post-sale success across global biotech and pharma customers, from initial onboarding to long-term, broad adoption.\n\n - Define and track portfolio-level success metrics and ROI, presenting progress to senior customer stakeholders.\n\n - Establish and lead steering committees to align stakeholders and ensure Cradle delivers measurable impact.\n\n - Understand customer budget cycles, licensing models, and R&D roadmaps to identify timely opportunities for growth and renewals.\n\n - Partner with Account Executives to expand Cradle’s footprint across new business units and therapeutic areas.\n \n\nProgram and Relationship Management\n\n - Coordinate with Scientific Advisors to ensure smooth project initiation, resource allocation, and execution within licensed project slots.\n\n - Manage multi-workstream engagements, ensuring alignment across Science, Product, and ML teams.\n\n - Inspire and lead your cross-functional Cradle team to deliver seven star customer experiences.\n\n - Act as the primary escalation and coordination point for enterprise accounts.\n \n\nCustomer Experience and Voice of Customer\n\n - Solicit, capture and communicate customer feedback, driving improvements in Cradle’s product and service delivery.\n\n - Partner with Product and Machine Learning Research teams to align customer strategic priorities and Cradle’s roadmap.\n\n - Design and co-create training and education initiatives that empower scientists to succeed on the Cradle Platform.\n\n - You will advocate for Cradle’s customers internally without losing sight of the delivery efficiency and interests of the Cradle team.\n\n\n\n\nYOUR QUALIFICATIONS\n\n\nMust-haves\n\n - Deep understanding of biopharma R&D workflows and the ability to confidently engage with executive stakeholders as well as experimental and computational scientists.\n\n - 5–7+ years in enterprise client-facing roles (program management, consulting, or customer success) ideally in Life Sciences.\n\n - Proven ability to lead complex, multi-stakeholder programs and drive measurable ROI.\n\n - Strong relationship-building, executive presence, crisp communication, and excellent organizational skills.\n\n - Comfortable presenting scientific and business insights to internal and external cross-functional audiences.\n\n - MSc or advanced degree in Molecular Biology, Biotechnology, Bioengineering, or a related field, or equivalent professional experience.\n\n - Willingness to travel to- and work from customer sites (20% of the time).\n \n\nNice-to-haves\n\n - Experience managing enterprise SaaS deployments.\n\n - Familiarity with services commercials (SOWs, budgeting, resourcing, and change orders).\n\n - Experience with machine learning applications in life sciences or biotech.\n\n\n\n\nOUR COMMITMENT TO INCLUSIVE HIRING\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\n\nAI DISCLOSURE\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\n\nA NOTICE ABOUT RECRUITMENT SCAMS \n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"07b4fd84-7dcf-4e31-a1f5-c2cff0e44f78","title":"Account Executive, Global Accounts","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Boston","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"US East (Remote)","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"US","addressLocality":"Boston"}}}],"publishedAt":"2026-02-06T08:03:37.611+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"1 Broadway, Cambridge","addressCountry":"United States","addressLocality":"Boston"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/07b4fd84-7dcf-4e31-a1f5-c2cff0e44f78","applyUrl":"https://jobs.ashbyhq.com/cradlebio/07b4fd84-7dcf-4e31-a1f5-c2cff0e44f78/application","descriptionHtml":"Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
Cradle helps global biotech and biopharma leaders design radically better proteins from next-generation biologics to high-efficiency enzymes powered by cutting-edge generative AI.
As a Global Account Executive based on the East Coast, you’ll lead strategic engagements with some of the world’s most influential R&D organizations, owning key relationships and driving multi-million-dollar partnerships.
With product–market fit secured, a rapidly expanding base of enterprise customers, and world-class scientific and technical talent, you’ll play a central role in scaling Cradle’s global impact.
Drive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.
Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.
Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.
Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.
Build a powerful personal brand in the biotech and AI-for-science space, attending global events, engaging with scientists and executives, and establishing yourself as a trusted advisor in the field.
Shape how we sell, improving playbooks, sales processes, and materials as we scale with the freedom to reimagine how enterprise sales is done in a science-driven startup.
In a team that’s thinking big and growing fast, there are few limits to this role. You’ll be expected to operate with ownership, urgency, and creativity and rewarded accordingly.
Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&D teams in biotech or pharma.
5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).
You’re confident navigating highly technical topics and translating them into business value for R&D stakeholders and executives alike.
You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.
You listen intently, are innately curious, and learn with humility.
Strong business network across biotech/pharma on the East Coast US.
Domain knowledge in machine learning or its applications in life sciences.
Prior experience at a (B2B) growth-stage startup.
Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
","descriptionPlain":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. \n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\n\n\nCONTEXT\n\nCradle helps global biotech and biopharma leaders design radically better proteins from next-generation biologics to high-efficiency enzymes powered by cutting-edge generative AI.\n\nAs a Global Account Executive based on the East Coast, you’ll lead strategic engagements with some of the world’s most influential R&D organizations, owning key relationships and driving multi-million-dollar partnerships.\n\nWith product–market fit secured, a rapidly expanding base of enterprise customers, and world-class scientific and technical talent, you’ll play a central role in scaling Cradle’s global impact.\n\n\n\n\nRESPONSIBILITIES\n\n - Drive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.\n\n - Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.\n\n - Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.\n\n - Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.\n\n - Build a powerful personal brand in the biotech and AI-for-science space, attending global events, engaging with scientists and executives, and establishing yourself as a trusted advisor in the field.\n\n - Shape how we sell, improving playbooks, sales processes, and materials as we scale with the freedom to reimagine how enterprise sales is done in a science-driven startup.\n\nIn a team that’s thinking big and growing fast, there are few limits to this role. You’ll be expected to operate with ownership, urgency, and creativity and rewarded accordingly.\n\n\n\n\nNEED TO HAVES\n\n - Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&D teams in biotech or pharma.\n\n - 5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).\n\n - You’re confident navigating highly technical topics and translating them into business value for R&D stakeholders and executives alike.\n\n - You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.\n\n - You listen intently, are innately curious, and learn with humility.\n\n\n\n\nNICE TO HAVES\n\n - Strong business network across biotech/pharma on the East Coast US.\n\n - Domain knowledge in machine learning or its applications in life sciences.\n\n - Prior experience at a (B2B) growth-stage startup.\n\n - Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.\n\n\nOUR COMMITMENT TO INCLUSIVE HIRING\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\n\nAI DISCLOSURE\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\n\nA NOTICE ABOUT RECRUITMENT SCAMS \n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"9dce87b6-16d7-41b4-bfd6-ab8cdef3ba47","title":"Scientist, Large Libraries","department":"Biology","team":"Biology","employmentType":"FullTime","location":"Amsterdam","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-08T16:22:50.299+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Amsterdam","addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/9dce87b6-16d7-41b4-bfd6-ab8cdef3ba47","applyUrl":"https://jobs.ashbyhq.com/cradlebio/9dce87b6-16d7-41b4-bfd6-ab8cdef3ba47/application","descriptionHtml":"Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
We are looking for a (Senior) Scientist to join our Large Libraries team and drive the development of novel high-throughput screening capabilities for protein-protein interactions. In this role, you will work on developing novel methods to screen protein variant libraries (e.g. antibodies) for measurement of protein interaction binding affinities. You will develop innovative methods to explore sequence-function landscapes, generating large-scale datasets. These datasets will power the Cradle AI/ML platform models, strengthen design recommendations, accelerate protein optimization, and deepen understanding of protein performance. Your efforts will enable our customers to engineer better proteins, faster across biotechnology applications.
Method Development & Execution
Develop and optimize novel workflows for high-throughput protein-protein interaction library screening
Build and optimize in vitro or cell-based assay pipelines across multiple display and screening modalities (yeast, phage, mRNA, ribosome display, or mammalian display)
Design, build, and execute molecular biology and biochemistry frameworks for library construction, screening, and data generation at scale
Establish robust and repeatable assays with the statistical rigor required for ML model training, evaluation and optimization
Technical Leadership
Drive and lead projects from experimental design through data delivery
Identify opportunities to improve throughput, data quality, repeatability, and workflow efficiency.
Collaborate with a cross-functional team to troubleshoot complex technical challenges and iterate on solutions.
Cross-functional Collaboration
Partner with the ML team to define data requirements and integrate experimental outputs into the ML pipeline.
Communicate results, insights, and technical challenges effectively across disciplines.
Contribute to shaping the scientific direction of the Large Libraries team and meaningfully contribute to the advancement of the Cradle platform.
Missing one or two points from the list below? No worries, if you're excited about this role and meet most of these criteria, we definitely want to hear from you. In the application form you will have a chance to spark our curiosity by telling us something groundbreaking you have worked on.
PhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field.
Demonstrated creativity in method development: you have invented or substantially adapted workflows, not just executed established ones.
Excitement to learn, contribute, and drive innovation in an early stage startup environment. Be comfortable with ambiguity and a fast paced environment.
Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment.
Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized.
Experience with one or more of the following would be an advantage:
Large-scale DNA library construction methodologies (>10^6 variants)
Display platforms (yeast, phage, mRNA, ribosome display, or mammalian display)
Flow cytometry and FACS
Familiarity with binding kinetic measurement techniques (SPR, BLI, ELISA, etc.)
Next-generation sequencing library preparation, QC, and bioinformatic analysis tools (Illumina, Nanopore, PacBio).
Experience with statistically rigorous experimental design and data quality assessment
High-throughput data analysis or familiarity with scripting languages (Python, R)
Classical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers)
Learning more about the BioEngineering team
We're quite open about what we work on in our BioEngineering team. If you'd like to learn a bit more before applying, check out blog posts from our team (link 1, link 2) or watch our webinar on lab automation.
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
","descriptionPlain":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. \n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\nWe are looking for a (Senior) Scientist to join our Large Libraries team and drive the development of novel high-throughput screening capabilities for protein-protein interactions. In this role, you will work on developing novel methods to screen protein variant libraries (e.g. antibodies) for measurement of protein interaction binding affinities. You will develop innovative methods to explore sequence-function landscapes, generating large-scale datasets. These datasets will power the Cradle AI/ML platform models, strengthen design recommendations, accelerate protein optimization, and deepen understanding of protein performance. Your efforts will enable our customers to engineer better proteins, faster across biotechnology applications.\n\n\n\n\nRESPONSIBILITIES\n\nMethod Development & Execution\n\n - Develop and optimize novel workflows for high-throughput protein-protein interaction library screening\n\n - Build and optimize in vitro or cell-based assay pipelines across multiple display and screening modalities (yeast, phage, mRNA, ribosome display, or mammalian display)\n\n - Design, build, and execute molecular biology and biochemistry frameworks for library construction, screening, and data generation at scale\n\n - Establish robust and repeatable assays with the statistical rigor required for ML model training, evaluation and optimization\n\nTechnical Leadership\n\n - Drive and lead projects from experimental design through data delivery\n\n - Identify opportunities to improve throughput, data quality, repeatability, and workflow efficiency.\n\n - Collaborate with a cross-functional team to troubleshoot complex technical challenges and iterate on solutions.\n\nCross-functional Collaboration\n\n - Partner with the ML team to define data requirements and integrate experimental outputs into the ML pipeline.\n\n - Communicate results, insights, and technical challenges effectively across disciplines.\n\n - Contribute to shaping the scientific direction of the Large Libraries team and meaningfully contribute to the advancement of the Cradle platform.\n\n\n\n\nYOUR BACKGROUND\n\nMissing one or two points from the list below? No worries, if you're excited about this role and meet most of these criteria, we definitely want to hear from you. In the application form you will have a chance to spark our curiosity by telling us something groundbreaking you have worked on.\n\n - PhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field.\n\n - Demonstrated creativity in method development: you have invented or substantially adapted workflows, not just executed established ones.\n\n - Excitement to learn, contribute, and drive innovation in an early stage startup environment. Be comfortable with ambiguity and a fast paced environment.\n\n - Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment.\n\n - Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized.\n\n\n\n\nNICE-TO-HAVES\n\nExperience with one or more of the following would be an advantage:\n\n - Large-scale DNA library construction methodologies (>10^6 variants)\n\n - Display platforms (yeast, phage, mRNA, ribosome display, or mammalian display)\n\n - Flow cytometry and FACS\n\n - Familiarity with binding kinetic measurement techniques (SPR, BLI, ELISA, etc.)\n\n - Next-generation sequencing library preparation, QC, and bioinformatic analysis tools (Illumina, Nanopore, PacBio).\n\n - Experience with statistically rigorous experimental design and data quality assessment\n\n - High-throughput data analysis or familiarity with scripting languages (Python, R)\n\n - Classical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers)\n\n\n\nLearning more about the BioEngineering team\n\nWe're quite open about what we work on in our BioEngineering team. If you'd like to learn a bit more before applying, check out blog posts from our team (link 1 https://www.cradle.bio/blog/exploring-darwin-assembly, link 2 https://www.cradle.bio/blog/interviews-jinel) or watch our webinar on lab automation https://cradle.wistia.com/live/events/6c9njppjia?channelId=127668.\n\n\nOUR COMMITMENT TO INCLUSIVE HIRING\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\n\nAI DISCLOSURE\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\n\nA NOTICE ABOUT RECRUITMENT SCAMS \n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"8932295b-9ddc-4cc1-a6e9-269f6b99732b","title":"Product Designer","department":"Software","team":"Software","employmentType":"FullTime","location":"Zürich","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-10T14:15:54.559+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Zürich","addressCountry":"Switzerland","addressLocality":"Zürich"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/8932295b-9ddc-4cc1-a6e9-269f6b99732b","applyUrl":"https://jobs.ashbyhq.com/cradlebio/8932295b-9ddc-4cc1-a6e9-269f6b99732b/application","descriptionHtml":"Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
Cradle is building something that didn't exist a few years ago: a product that lets biologists use machine learning to design better proteins without becoming machine learning engineers themselves. That one sentence hides an enormous amount of complexity. Under the hood, a scientist is preparing data, configuring ML optimisation workflows, running experiments across rounds, and making sense of the results, work that until recently needed a dedicated computational team. Our job is to make all of that feel like one coherent product rather than a pile of tools bolted together.
We sit at an unusual intersection: SaaS, machine learning, and molecular biology. The design challenge is to take one of the most complex workflows in modern science and make it legible to a domain expert who has a very high bar for clarity and very little patience for anything that gets in the way.
As Product Designer, you'll design features end-to-end, from a rough product problem to shipped screens, working closely with our platform engineers to make sure what ships matches what was designed.
Design features end-to-end: Take individual features from a rough product problem through research, conceptualization, implementation and iteration. You own the whole arc, not just the prototype.
Own our design system: Maintain and evolve our design system, building new components when a new pattern warrants it, so it stays clean and reliable for the whole team to build from.
Care about the edge cases: Define states, error paths, and content variability explicitly, so what you hand off is unambiguous to build, not just pretty in the happy path.
Build alongside Engineering: Stay with your work through implementation alongside our platform engineers, closing the gap between what was specified and what actually lands in the product.
Stay close to the science: Work with user research to understand scientists' real workflows and pain points, and let that shape what you design.
The best people we've hired didn't match a checklist. Here's what matters most for this role, but if you bring most of it and are curious about the rest, we'd love to hear from you:
A portfolio showing designs that held up once engineering built them, not just polished mockups.
Experience designing complex, data-dense product surfaces, and turning a complex domain into a user flow that makes sense to someone new to it.
Experience building and maintaining a design system, with the judgment to know when \"clean and consistent\" beats \"perfectly systematic.\"
Deep fluency in Figma: auto-layout, variables, component architecture.
Comfortable working closely with engineers day-to-day. You have enough grasp of the implementation side to design things that are straightforward to implement, even without writing the code yourself.
Humility to accept feedback, adapt your thinking, and iterate toward the best solution
Self-starter mindset and comfort with moving from a fuzzy problem to a concrete flow without a detailed spec.
These aren't requirements, but they'd give you a head start:
Experience designing software for scientific end-users.
Familiarity with modern frontend technologies (TypeScript, React, CSS).
Comfort with developer workflows and tools like Git.
Background in or enthusiasm for computational biology, bioinformatics, machine learning or related fields.
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
","descriptionPlain":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. \n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\n\n\nABOUT THE ROLE\n\nCradle is building something that didn't exist a few years ago: a product that lets biologists use machine learning to design better proteins without becoming machine learning engineers themselves. That one sentence hides an enormous amount of complexity. Under the hood, a scientist is preparing data, configuring ML optimisation workflows, running experiments across rounds, and making sense of the results, work that until recently needed a dedicated computational team. Our job is to make all of that feel like one coherent product rather than a pile of tools bolted together.\n\nWe sit at an unusual intersection: SaaS, machine learning, and molecular biology. The design challenge is to take one of the most complex workflows in modern science and make it legible to a domain expert who has a very high bar for clarity and very little patience for anything that gets in the way.\n\nAs Product Designer, you'll design features end-to-end, from a rough product problem to shipped screens, working closely with our platform engineers to make sure what ships matches what was designed.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design features end-to-end: Take individual features from a rough product problem through research, conceptualization, implementation and iteration. You own the whole arc, not just the prototype.\n\n - Own our design system: Maintain and evolve our design system, building new components when a new pattern warrants it, so it stays clean and reliable for the whole team to build from.\n\n - Care about the edge cases: Define states, error paths, and content variability explicitly, so what you hand off is unambiguous to build, not just pretty in the happy path.\n\n - Build alongside Engineering: Stay with your work through implementation alongside our platform engineers, closing the gap between what was specified and what actually lands in the product.\n\n - Stay close to the science: Work with user research to understand scientists' real workflows and pain points, and let that shape what you design.\n \n \n\n\n\n\n\nREQUIREMENTS\n\nThe best people we've hired didn't match a checklist. Here's what matters most for this role, but if you bring most of it and are curious about the rest, we'd love to hear from you:\n\n - A portfolio showing designs that held up once engineering built them, not just polished mockups.\n\n - Experience designing complex, data-dense product surfaces, and turning a complex domain into a user flow that makes sense to someone new to it.\n\n - Experience building and maintaining a design system, with the judgment to know when \"clean and consistent\" beats \"perfectly systematic.\"\n\n - Deep fluency in Figma: auto-layout, variables, component architecture.\n\n - Comfortable working closely with engineers day-to-day. You have enough grasp of the implementation side to design things that are straightforward to implement, even without writing the code yourself.\n\n - Humility to accept feedback, adapt your thinking, and iterate toward the best solution\n\n - Self-starter mindset and comfort with moving from a fuzzy problem to a concrete flow without a detailed spec.\n \n \n\n\nAND SOME NICE-TO-HAVES...\n\nThese aren't requirements, but they'd give you a head start:\n\n - Experience designing software for scientific end-users.\n\n - Familiarity with modern frontend technologies (TypeScript, React, CSS).\n\n - Comfort with developer workflows and tools like Git.\n\n - Background in or enthusiasm for computational biology, bioinformatics, machine learning or related fields.\n\n\n\n\nOUR COMMITMENT TO INCLUSIVE HIRING\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\n\nAI DISCLOSURE\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\n\nA NOTICE ABOUT RECRUITMENT SCAMS \n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"34668b14-08db-41cc-8204-1f6eb4309fa7","title":"Account Executive, Global Accounts","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Zürich","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Europe (Remote)","address":{"postalAddress":{"addressCountry":"European Union"}}},{"location":"Amsterdam","address":{"postalAddress":{"addressRegion":"Amsterdam","addressCountry":"Netherlands","addressLocality":"Amsterdam"}}}],"publishedAt":"2026-09-14T09:43:03.706+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Zürich","addressCountry":"Switzerland","addressLocality":"Zürich"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/34668b14-08db-41cc-8204-1f6eb4309fa7","applyUrl":"https://jobs.ashbyhq.com/cradlebio/34668b14-08db-41cc-8204-1f6eb4309fa7/application","descriptionHtml":"Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.
We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
Cradle helps global biotech and biopharma leaders design radically better proteins from next-generation biologics to high-efficiency enzymes powered by cutting-edge generative AI.
As a Global Account Executive, you’ll lead strategic engagements with some of the world’s most influential R&D organizations, owning key relationships and driving multi-million-dollar partnerships in Europe.
With product–market fit secured, a rapidly expanding base of enterprise customers, and world-class scientific and technical talent, you’ll play a central role in scaling Cradle’s global impact.
Drive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.
Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.
Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.
Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.
Build a powerful personal brand in the biotech and AI-for-science space, attending global events, engaging with scientists and executives, and establishing yourself as a trusted advisor in the field.
Shape how we sell, improving playbooks, sales processes, and materials as we scale with the freedom to reimagine how enterprise sales is done in a science-driven startup.
In a team that’s thinking big and growing fast, there are few limits to this role. You’ll be expected to operate with ownership, urgency, and creativity and rewarded accordingly.
Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&D teams in biotech or pharma.
5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).
You’re confident navigating highly technical topics and translating them into business value for R&D stakeholders and executives alike.
You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.
You listen intently, are innately curious, and learn with humility.
Strong business network across biotech/pharma in the DACH region or broader Europe.
Domain knowledge in machine learning or its applications in life sciences.
Prior experience at a (B2B) growth-stage startup.
Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
","descriptionPlain":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. \n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\n\n\nCONTEXT\n\nCradle helps global biotech and biopharma leaders design radically better proteins from next-generation biologics to high-efficiency enzymes powered by cutting-edge generative AI.\n\nAs a Global Account Executive, you’ll lead strategic engagements with some of the world’s most influential R&D organizations, owning key relationships and driving multi-million-dollar partnerships in Europe.\n\nWith product–market fit secured, a rapidly expanding base of enterprise customers, and world-class scientific and technical talent, you’ll play a central role in scaling Cradle’s global impact.\n\n\n\n\nRESPONSIBILITIES\n\n - Drive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.\n\n - Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.\n\n - Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.\n\n - Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.\n\n - Build a powerful personal brand in the biotech and AI-for-science space, attending global events, engaging with scientists and executives, and establishing yourself as a trusted advisor in the field.\n\n - Shape how we sell, improving playbooks, sales processes, and materials as we scale with the freedom to reimagine how enterprise sales is done in a science-driven startup.\n\nIn a team that’s thinking big and growing fast, there are few limits to this role. You’ll be expected to operate with ownership, urgency, and creativity and rewarded accordingly.\n\n\n\n\nNEED TO HAVES\n\n - Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&D teams in biotech or pharma.\n\n - 5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).\n\n - You’re confident navigating highly technical topics and translating them into business value for R&D stakeholders and executives alike.\n\n - You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.\n\n - You listen intently, are innately curious, and learn with humility.\n\n\n\n\nNICE TO HAVES\n\n - Strong business network across biotech/pharma in the DACH region or broader Europe.\n\n - Domain knowledge in machine learning or its applications in life sciences.\n\n - Prior experience at a (B2B) growth-stage startup.\n\n - Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.\n\n\nOUR COMMITMENT TO INCLUSIVE HIRING\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\n\nAI DISCLOSURE\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\n\nA NOTICE ABOUT RECRUITMENT SCAMS \n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}