{"jobs":[{"id":"9bfb1d5e-92e1-487b-aa05-633d1b8da50c","title":"Scientific Solutions Consultant ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Remote - US West Coast","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-29T10:00:16.029+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"US","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/9bfb1d5e-92e1-487b-aa05-633d1b8da50c","applyUrl":"https://jobs.ashbyhq.com/cradlebio/9bfb1d5e-92e1-487b-aa05-633d1b8da50c/application","descriptionHtml":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><h1><br /><strong>The Role</strong></h1><p style=\"min-height:1.5em\">As a Scientific Solution Consultant, you are the primary scientific/technical solution lead who presents the capabilities, value and benefit of Cradle’s platform and services to key scientists, experimental and computational biologists, IT, and executives at prospects and customers. </p><p style=\"min-height:1.5em\">You partner closely with Account Executives and other teammates on the Go-To-Market team throughout the entire buying journey. You stay up-to-date on Cradle's latest technical capabilities and proof points, and provide feedback to the product and technical teams on ways to improve Cradle's demo and offering.</p><p style=\"min-height:1.5em\"></p><h1><strong>Your Responsibilities</strong></h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">You will own and manage scientific and technical ‘discovery’ to understand the customer’s current landscape, uncover and identify customer projects, capabilities and challenges. </p></li><li><p style=\"min-height:1.5em\">You will listen intently to customers’ protein engineering workflows and ask the right questions to understand how Cradle can best support their research objectives.</p></li><li><p style=\"min-height:1.5em\">You will develop impactful presentations and deliver amazing demonstrations of Cradle’s offerings that address customer’s challenges, and differentiate Cradle from the competition.</p></li><li><p style=\"min-height:1.5em\">You will manage customer questions and objections professionally and with insight and establish both credibility and trust in you and in Cradle with the customer.</p></li><li><p style=\"min-height:1.5em\">You will attend industry relevant conferences and represent cradle to scientific and technical audiences.</p></li><li><p style=\"min-height:1.5em\">You will bring your insights from the field back to our product teams and inform and influence our product roadmap for market success.</p></li><li><p style=\"min-height:1.5em\">Provide internal leadership by developing best-in-class solutions, assets and content to help our customers, help your team and enable others to learn from your experience and expertise.</p></li><li><p style=\"min-height:1.5em\">Mentor and partner with other SSCs to build their success and raise the bar.</p></li><li><p style=\"min-height:1.5em\">Embrace and represent Cradle’s mission and values.</p></li></ul><p style=\"min-height:1.5em\"></p><h1><strong>Your Qualifications</strong></h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Scientific academic degree (MS, PhD) in biology or biochemistry. Eg. structural or molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering, or other. </p></li><li><p style=\"min-height:1.5em\">Minimum 2 years of professional experience (post-degree), preferably in a solution consultant type role, and/or in related customer facing roles.</p></li><li><p style=\"min-height:1.5em\">Experience with scientific/informatics software (LIMS, ELN, etc.) or other technical solutions sold/delivered into research and discovery functions is helpful. Especially if you demonstrated such solutions to research and computational scientists.</p></li><li><p style=\"min-height:1.5em\">Ability to quickly understand various wet lab experimental workflows relevant to design of enzymes and therapeutic proteins is a must. Hands-on experience with designing and executing a variety of (high throughput) wet lab experimental workflows is a plus.</p></li><li><p style=\"min-height:1.5em\">Experience with computational protein design (either as a grad student or professional), potentially involving use of AI/ML techniques, is helpful. </p></li><li><p style=\"min-height:1.5em\">Excitement to bring your strong foundation in life sciences R&amp;D, familiarity with research scientists' and computational biologists’ experience and tools they use, and excellent communication skills to translate Cradle's platform capabilities into value gains for scientists and research organizations. </p></li><li><p style=\"min-height:1.5em\">Able and willing to travel 20-40%. Includes international travel (passport required).</p></li><li><p style=\"min-height:1.5em\">We offer our employees a competitive salary, a meaningful equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.</p><p style=\"min-height:1.5em\"></p></li></ul><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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\nTHE ROLE\n\nAs a Scientific Solution Consultant, you are the primary scientific/technical solution lead who presents the capabilities, value and benefit of Cradle’s platform and services to key scientists, experimental and computational biologists, IT, and executives at prospects and customers. \n\nYou partner closely with Account Executives and other teammates on the Go-To-Market team throughout the entire buying journey. You stay up-to-date on Cradle's latest technical capabilities and proof points, and provide feedback to the product and technical teams on ways to improve Cradle's demo and offering.\n\n\n\n\nYOUR RESPONSIBILITIES\n\n - You will own and manage scientific and technical ‘discovery’ to understand the customer’s current landscape, uncover and identify customer projects, capabilities and challenges. \n\n - You will listen intently to customers’ protein engineering workflows and ask the right questions to understand how Cradle can best support their research objectives.\n\n - You will develop impactful presentations and deliver amazing demonstrations of Cradle’s offerings that address customer’s challenges, and differentiate Cradle from the competition.\n\n - You will manage customer questions and objections professionally and with insight and establish both credibility and trust in you and in Cradle with the customer.\n\n - You will attend industry relevant conferences and represent cradle to scientific and technical audiences.\n\n - You will bring your insights from the field back to our product teams and inform and influence our product roadmap for market success.\n\n - Provide internal leadership by developing best-in-class solutions, assets and content to help our customers, help your team and enable others to learn from your experience and expertise.\n\n - Mentor and partner with other SSCs to build their success and raise the bar.\n\n - Embrace and represent Cradle’s mission and values.\n\n\n\n\nYOUR QUALIFICATIONS\n\n - Scientific academic degree (MS, PhD) in biology or biochemistry. Eg. structural or molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering, or other. \n\n - Minimum 2 years of professional experience (post-degree), preferably in a solution consultant type role, and/or in related customer facing roles.\n\n - Experience with scientific/informatics software (LIMS, ELN, etc.) or other technical solutions sold/delivered into research and discovery functions is helpful. Especially if you demonstrated such solutions to research and computational scientists.\n\n - Ability to quickly understand various wet lab experimental workflows relevant to design of enzymes and therapeutic proteins is a must. Hands-on experience with designing and executing a variety of (high throughput) wet lab experimental workflows is a plus.\n\n - Experience with computational protein design (either as a grad student or professional), potentially involving use of AI/ML techniques, is helpful. \n\n - Excitement to bring your strong foundation in life sciences R&D, familiarity with research scientists' and computational biologists’ experience and tools they use, and excellent communication skills to translate Cradle's platform capabilities into value gains for scientists and research organizations. \n\n - Able and willing to travel 20-40%. Includes international travel (passport required).\n\n - We offer our employees a competitive salary, a meaningful equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.\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":"Cambridge Innovation Center, 1 Broadway","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/aa837279-3ccf-4c40-9d8b-40405716ac3b","applyUrl":"https://jobs.ashbyhq.com/cradlebio/aa837279-3ccf-4c40-9d8b-40405716ac3b/application","descriptionHtml":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>Your Role</strong></h1><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>Your Responsibilities</strong><br /></h1><h2><strong>Scientific advisory</strong></h2><p style=\"min-height:1.5em\">Work closely with Cradle customers, ranging from medium-sized biotechs to global biopharma leaders, to:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Advise on identifying protein optimisation projects within their portfolios that are best suited to the Cradle platform.</p></li><li><p style=\"min-height:1.5em\">Help translate scientific goals of projects (predominantly biotherapeutics) into objectives for the Cradle platform.</p></li><li><p style=\"min-height:1.5em\">Deeply understand customer assays/workflows – research modalities/targets as necessary to gain a foundation in relevant concepts, assays and workflows.</p></li><li><p style=\"min-height:1.5em\">Ensure quality/formatting of customer data is suitable for machine learning</p></li><li><p style=\"min-height:1.5em\">Train them to use Cradle’s platform.</p></li><li><p style=\"min-height:1.5em\">Collaborate with engineering to ensure our platform outputs optimal protein designs to customers.</p></li><li><p style=\"min-height:1.5em\">Present reports to help the customer interpret and assess platform outputs and forecasts.</p></li><li><p style=\"min-height:1.5em\">Provide recommendations to inform go/no-go decisions and devise the most effective strategy for their projects.</p><p style=\"min-height:1.5em\"></p></li></ul><h2><strong>Partnership</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">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.</p></li><li><p style=\"min-height:1.5em\">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.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Customer Experience and Voice of customer</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Measure and monitor satisfaction of the customers with product as well as service.</p></li><li><p style=\"min-height:1.5em\">Proactively gather customer feedback, and keep the customers informed as their feedback is then turned into improved features and services.</p></li><li><p style=\"min-height:1.5em\">Collaborate with product teams at Cradle to guide product development so as to address customer needs.</p></li></ul><p style=\"min-height:1.5em\"></p><h1><strong>Your Qualifications</strong><br /></h1><h2><strong>Must-haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">PhD in molecular biology, bioengineering, bioinformatics, or a related field.</p></li><li><p style=\"min-height:1.5em\">5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies, with experience with biophysical and/or functional assays.</p></li><li><p style=\"min-height:1.5em\">Deep knowledge of the biopharmaceutical R&amp;D process, methods, and tooling.</p></li><li><p style=\"min-height:1.5em\">Excellent analytical and communication skills, with the ability to translate complex scientific concepts into clear, actionable insights.</p></li><li><p style=\"min-height:1.5em\">Proven ability to build strong relationships with a variety of stakeholders, including scientists and business leaders.</p></li></ul><p style=\"min-height:1.5em\"></p><h2><strong>Nice-to-haves</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with machine learning</p></li><li><p style=\"min-height:1.5em\">Experience with non-antibody protein modalities, particularly enzymes.</p></li><li><p style=\"min-height:1.5em\">Experience in relationship management and/or sales in biotech or software industry</p></li><li><p style=\"min-height:1.5em\">Proficiency in Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.). Familiarity with SQL.</p></li></ul><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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":"07b4fd84-7dcf-4e31-a1f5-c2cff0e44f78","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Boston","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Remote - US East Coast","address":{"postalAddress":{"addressRegion":"Massachusetts","addressCountry":"US","addressLocality":"Boston"}}}],"publishedAt":"2026-02-06T08:03:37.611+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"02142","addressRegion":"MA","streetAddress":"Cambridge Innovation Center, 1 Broadway","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/07b4fd84-7dcf-4e31-a1f5-c2cff0e44f78","applyUrl":"https://jobs.ashbyhq.com/cradlebio/07b4fd84-7dcf-4e31-a1f5-c2cff0e44f78/application","descriptionHtml":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>Context</strong></h1><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">As a Enterprise Account Executive based on the East Coast, you’ll lead strategic engagements with some of the world’s most influential R&amp;D organizations, owning key relationships and driving multi-million-dollar partnerships.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1>Responsibilities</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive business development across the biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.</p></li><li><p style=\"min-height:1.5em\">Own strategic accounts, with a focus on enterprise partners (including the top 30 pharma companies), and deliver millions in annually recurring revenue.</p></li><li><p style=\"min-height:1.5em\">Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.</p></li><li><p style=\"min-height:1.5em\">Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.</p></li><li><p style=\"min-height:1.5em\">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.</p></li><li><p style=\"min-height:1.5em\">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.</p></li></ul><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1>Need to haves</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&amp;D teams in biotech or pharma.</p></li><li><p style=\"min-height:1.5em\">5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).</p></li><li><p style=\"min-height:1.5em\">You’re confident navigating highly technical topics and translating them into business value for R&amp;D stakeholders and executives alike.</p></li><li><p style=\"min-height:1.5em\">You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.</p></li><li><p style=\"min-height:1.5em\">You listen intently, are innately curious, and learn with humility.</p></li></ul><p style=\"min-height:1.5em\"></p><h1>Nice to haves</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong business network across biotech/pharma on the East Coast US.</p></li><li><p style=\"min-height:1.5em\">Domain knowledge in machine learning or its applications in life sciences.</p></li><li><p style=\"min-height:1.5em\">Prior experience at a (B2B) growth-stage startup.</p></li><li><p style=\"min-height:1.5em\">Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.</p></li></ul><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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 Enterprise 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 biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.\n\n - Own strategic accounts, with a focus on enterprise partners (including the top 30 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":{"postalCode":"1043 NT","addressRegion":"Amsterdam","streetAddress":"Radarweg 60","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":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>What we're looking for</strong></h1><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>Responsibilities</strong></h1><p style=\"min-height:1.5em\"><strong>Method Development &amp; Execution</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Develop and optimize novel workflows for high-throughput protein-protein interaction library screening</p></li><li><p style=\"min-height:1.5em\">Build and optimize <em>in vitro</em> or cell-based assay pipelines across multiple display and screening modalities (yeast, phage, mRNA, ribosome display, or mammalian display)</p></li><li><p style=\"min-height:1.5em\">Design, build, and execute molecular biology and biochemistry  frameworks for library construction, screening, and data generation at scale</p></li><li><p style=\"min-height:1.5em\">Establish robust and repeatable assays with the statistical rigor required for ML model training, evaluation and optimization</p></li></ul><p style=\"min-height:1.5em\"><strong>Technical Leadership</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive and lead projects from experimental design through data delivery</p></li><li><p style=\"min-height:1.5em\">Identify opportunities to improve throughput, data quality, repeatability, and workflow efficiency.</p></li><li><p style=\"min-height:1.5em\">Collaborate with a cross-functional team to troubleshoot complex technical challenges and iterate on solutions.</p></li></ul><p style=\"min-height:1.5em\"><strong>Cross-functional Collaboration</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with the ML team to define data requirements and integrate experimental outputs into the ML pipeline.</p></li><li><p style=\"min-height:1.5em\">Communicate results, insights, and technical challenges effectively across disciplines.</p></li><li><p style=\"min-height:1.5em\">Contribute to shaping the scientific direction of the Large Libraries team and meaningfully contribute to the advancement of the Cradle platform.</p></li></ul><p style=\"min-height:1.5em\"></p><h1><strong>Your background</strong></h1><p style=\"min-height:1.5em\"><em>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.</em></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">PhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field.</p></li><li><p style=\"min-height:1.5em\">Demonstrated creativity in method development: you have invented or substantially adapted workflows, not just executed established ones.</p></li><li><p style=\"min-height:1.5em\">Excitement to learn, contribute, and drive innovation in an early stage startup environment. Be comfortable with ambiguity and a fast paced environment.</p></li><li><p style=\"min-height:1.5em\">Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment.</p></li><li><p style=\"min-height:1.5em\">Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized.</p></li></ul><p style=\"min-height:1.5em\"></p><h1><strong>Nice-to-haves</strong></h1><p style=\"min-height:1.5em\">Experience with one or more of the following would be an advantage:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Large-scale DNA library construction methodologies (&gt;10^6 variants)</p></li><li><p style=\"min-height:1.5em\">Display platforms (yeast, phage, mRNA, ribosome display, or mammalian display)</p></li><li><p style=\"min-height:1.5em\">Flow cytometry and FACS</p></li><li><p style=\"min-height:1.5em\">Familiarity with binding kinetic measurement techniques (SPR, BLI, ELISA, etc.)</p></li><li><p style=\"min-height:1.5em\">Next-generation sequencing library preparation, QC, and bioinformatic analysis tools (Illumina, Nanopore, PacBio).</p></li><li><p style=\"min-height:1.5em\">Experience with statistically rigorous experimental design and data quality assessment</p></li><li><p style=\"min-height:1.5em\">High-throughput data analysis or familiarity with scripting languages (Python, R)</p></li><li><p style=\"min-height:1.5em\">Classical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers)</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Learning more about the BioEngineering team</strong></p><p style=\"min-height:1.5em\">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 (<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.cradle.bio/blog/exploring-darwin-assembly\"><u>link 1</u></a>,<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.cradle.bio/blog/interviews-jinel\"> <u>link 2</u></a>) or watch our webinar on<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://cradle.wistia.com/live/events/6c9njppjia?channelId=127668\"> <u>lab automation</u></a>.</p><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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":"34668b14-08db-41cc-8204-1f6eb4309fa7","title":"Account Executive, Global Accounts","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Zürich","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Remote - Europe","address":{"postalAddress":{"addressCountry":"European Union"}}},{"location":"Amsterdam","address":{"postalAddress":{"postalCode":"1043 NT","addressRegion":"Amsterdam","streetAddress":"Radarweg 60","addressCountry":"Netherlands","addressLocality":"Amsterdam"}}}],"publishedAt":"2026-09-14T09:43:03.706+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"8002","addressRegion":"Zürich","streetAddress":"Brandschenkestrasse 150","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":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>Context</strong></h1><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">As a Global Account Executive, you’ll lead strategic engagements with some of the world’s most influential R&amp;D organizations, owning key relationships and driving multi-million-dollar partnerships in Europe.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1>Responsibilities</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.</p></li><li><p style=\"min-height:1.5em\">Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.</p></li><li><p style=\"min-height:1.5em\">Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.</p></li><li><p style=\"min-height:1.5em\">Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.</p></li><li><p style=\"min-height:1.5em\">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.</p></li><li><p style=\"min-height:1.5em\">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.</p></li></ul><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1>Need to haves</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&amp;D teams in biotech or pharma.</p></li><li><p style=\"min-height:1.5em\">5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).</p></li><li><p style=\"min-height:1.5em\">You’re confident navigating highly technical topics and translating them into business value for R&amp;D stakeholders and executives alike.</p></li><li><p style=\"min-height:1.5em\">You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.</p></li><li><p style=\"min-height:1.5em\">You listen intently, are innately curious, and learn with humility.</p></li></ul><p style=\"min-height:1.5em\"></p><h1>Nice to haves</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong business network across biotech/pharma in the DACH region or broader Europe.</p></li><li><p style=\"min-height:1.5em\">Domain knowledge in machine learning or its applications in life sciences.</p></li><li><p style=\"min-height:1.5em\">Prior experience at a (B2B) growth-stage startup.</p></li><li><p style=\"min-height:1.5em\">Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.</p></li></ul><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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":[]}},{"id":"f6e76169-e999-490a-a68c-6c73dc572e97","title":"Financial Controller","department":"Operations","team":"Operations","employmentType":"FullTime","location":"Amsterdam","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-21T19:18:15.149+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"1043 NT","addressRegion":"Amsterdam","streetAddress":"Radarweg 60","addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/f6e76169-e999-490a-a68c-6c73dc572e97","applyUrl":"https://jobs.ashbyhq.com/cradlebio/f6e76169-e999-490a-a68c-6c73dc572e97/application","descriptionHtml":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Cradle is building the tools that let scientists design better proteins - the ones that will cure diseases and replace the materials we can't keep making. Behind that sits an international group with European and US entities, a modern finance stack, and a finance function that’s still being built. As Cradle’s first Financial Controller, you'll bring the group's accounting in-house from our external accountants and build the machinery around it: the close, the controls, and the automation that keeps a small finance team from becoming a large one.</p><p style=\"min-height:1.5em\"></p><h1>Responsibilities</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Bring accounting in-house:</strong> Take full ownership of the group's accounting from our external partners, and shape how it runs from the ground up.</p></li><li><p style=\"min-height:1.5em\"><strong>Design the core financial processes:</strong> Build procure-to-pay, order-to-cash, and record-to-report end to end, with controls that hold up as the company scales.</p></li><li><p style=\"min-height:1.5em\"><strong>Automate what shouldn't be manual:</strong> Get everything possible out of our finance tools (i.e. Ramp and Campfire), and keep asking which recurring task shouldn't need a human next quarter.</p></li><li><p style=\"min-height:1.5em\"><strong>Own the numbers across the group:</strong> Deliver accurate, timely reporting across multiple entities, currencies, and reporting frameworks.</p></li><li><p style=\"min-height:1.5em\"><strong>Get us audit-ready:</strong> Establish the documentation and control trail that makes external review a formality rather than a scramble.</p></li><li><p style=\"min-height:1.5em\"><strong>Support the full finance scope:</strong> Work alongside the Ops team on the things a growing company throws at finance - budgeting and forecasting, cash analysis, group tax structuring, and supporting future funding rounds.</p></li></ul><p style=\"min-height:1.5em\"></p><h1>Requirements</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">4+ years in accounting or controlling, ideally mixing audit or accounting firm experience with time in-house at a startup or scaleup</p></li><li><p style=\"min-height:1.5em\">You've owned a month-end close end to end</p></li><li><p style=\"min-height:1.5em\">A track record of building or improving processes in fast-changing startup environments. You're quick to spot something sub-optimal, design a fix, and see it through.</p></li><li><p style=\"min-height:1.5em\">Hands-on experience with a traditional ERP or comparable modern finance stack, and confident picking up and optimising new tools.</p></li><li><p style=\"min-height:1.5em\">Comfort connecting the dots across different operational domains (Finance, People, Legal). You understand how a change in one area ripples into others.</p></li><li><p style=\"min-height:1.5em\">Familiarity with Dutch, Swiss, and/or US statutory reporting and local filing requirements</p></li><li><p style=\"min-height:1.5em\">You prioritise well under a lot of moving parts</p></li><li><p style=\"min-height:1.5em\">A versatile communicator who can document a process clearly enough that someone else can follow it</p></li><li><p style=\"min-height:1.5em\">Ability to be in the office at least 3 days a week.</p></li></ul><p style=\"min-height:1.5em\"></p><h1>Nice-to-haves</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">You've been an early finance hire at a scale-up</p></li><li><p style=\"min-height:1.5em\">Familiarity with any of Ramp, Campfire, or HubSpot</p></li><li><p style=\"min-height:1.5em\">Experience preparing for a first statutory audit</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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\nCradle is building the tools that let scientists design better proteins - the ones that will cure diseases and replace the materials we can't keep making. Behind that sits an international group with European and US entities, a modern finance stack, and a finance function that’s still being built. As Cradle’s first Financial Controller, you'll bring the group's accounting in-house from our external accountants and build the machinery around it: the close, the controls, and the automation that keeps a small finance team from becoming a large one.\n\n\n\n\nRESPONSIBILITIES\n\n - Bring accounting in-house: Take full ownership of the group's accounting from our external partners, and shape how it runs from the ground up.\n\n - Design the core financial processes: Build procure-to-pay, order-to-cash, and record-to-report end to end, with controls that hold up as the company scales.\n\n - Automate what shouldn't be manual: Get everything possible out of our finance tools (i.e. Ramp and Campfire), and keep asking which recurring task shouldn't need a human next quarter.\n\n - Own the numbers across the group: Deliver accurate, timely reporting across multiple entities, currencies, and reporting frameworks.\n\n - Get us audit-ready: Establish the documentation and control trail that makes external review a formality rather than a scramble.\n\n - Support the full finance scope: Work alongside the Ops team on the things a growing company throws at finance - budgeting and forecasting, cash analysis, group tax structuring, and supporting future funding rounds.\n\n\n\n\nREQUIREMENTS\n\n - 4+ years in accounting or controlling, ideally mixing audit or accounting firm experience with time in-house at a startup or scaleup\n\n - You've owned a month-end close end to end\n\n - A track record of building or improving processes in fast-changing startup environments. You're quick to spot something sub-optimal, design a fix, and see it through.\n\n - Hands-on experience with a traditional ERP or comparable modern finance stack, and confident picking up and optimising new tools.\n\n - Comfort connecting the dots across different operational domains (Finance, People, Legal). You understand how a change in one area ripples into others.\n\n - Familiarity with Dutch, Swiss, and/or US statutory reporting and local filing requirements\n\n - You prioritise well under a lot of moving parts\n\n - A versatile communicator who can document a process clearly enough that someone else can follow it\n\n - Ability to be in the office at least 3 days a week.\n\n\n\n\nNICE-TO-HAVES\n\n - You've been an early finance hire at a scale-up\n\n - Familiarity with any of Ramp, Campfire, or HubSpot\n\n - Experience preparing for a first statutory audit\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":"62629158-4c8e-4f37-9e85-c36ee985c254","title":"Enterprise Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Remote - US West Coast","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-30T10:09:02.484+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"US","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/62629158-4c8e-4f37-9e85-c36ee985c254","applyUrl":"https://jobs.ashbyhq.com/cradlebio/62629158-4c8e-4f37-9e85-c36ee985c254/application","descriptionHtml":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>Context</strong></h1><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">As a Enterprise Account Executive working remotely on the West Coast, you’ll lead strategic engagements with some of the world’s most influential R&amp;D organizations, owning key relationships and driving multi-million-dollar partnerships.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1>Responsibilities</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive business development across the biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.</p></li><li><p style=\"min-height:1.5em\">Own strategic accounts, with a focus on enterprise partners (including the top 30 pharma companies), and deliver millions in annually recurring revenue.</p></li><li><p style=\"min-height:1.5em\">Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.</p></li><li><p style=\"min-height:1.5em\">Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.</p></li><li><p style=\"min-height:1.5em\">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.</p></li><li><p style=\"min-height:1.5em\">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.</p></li></ul><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1>Need to haves</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Advanced degree in the life sciences (e.g. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&amp;D teams in biotech or pharma.</p></li><li><p style=\"min-height:1.5em\">5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).</p></li><li><p style=\"min-height:1.5em\">You’re confident navigating highly technical topics and translating them into business value for R&amp;D stakeholders and executives alike.</p></li><li><p style=\"min-height:1.5em\">You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.</p></li><li><p style=\"min-height:1.5em\">You listen intently, are innately curious, and learn with humility.</p></li></ul><p style=\"min-height:1.5em\"></p><h1>Nice to haves</h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong business network across biotech/pharma on the West Coast US.</p></li><li><p style=\"min-height:1.5em\">Domain knowledge in machine learning or its applications in life sciences.</p></li><li><p style=\"min-height:1.5em\">Prior experience at a (B2B) growth-stage startup.</p></li><li><p style=\"min-height:1.5em\">Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.</p></li></ul><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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 Enterprise Account Executive working remotely on the West 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 biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.\n\n - Own strategic accounts, with a focus on enterprise partners (including the top 30 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 West 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":"5fec3fcc-ff47-4dc1-9f98-5eb1ea5d8407","title":"Executive Assistant","department":"Operations","team":"Operations","employmentType":"FullTime","location":"Zürich","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[{"location":"Amsterdam","address":{"postalAddress":{"postalCode":"1043 NT","addressRegion":"Amsterdam","streetAddress":"Radarweg 60","addressCountry":"Netherlands","addressLocality":"Amsterdam"}}}],"publishedAt":"2026-10-05T18:55:08.796+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"8002","addressRegion":"Zürich","streetAddress":"Brandschenkestrasse 150","addressCountry":"Switzerland","addressLocality":"Zürich"}},"jobUrl":"https://jobs.ashbyhq.com/cradlebio/5fec3fcc-ff47-4dc1-9f98-5eb1ea5d8407","applyUrl":"https://jobs.ashbyhq.com/cradlebio/5fec3fcc-ff47-4dc1-9f98-5eb1ea5d8407/application","descriptionHtml":"<h2>This is Cradle</h2><p style=\"min-height:1.5em\">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. </p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h1><strong>The Role</strong></h1><p style=\"min-height:1.5em\">As Executive Assistant at Cradle, you'll keep two of our founding executives moving. Between customer visits, investor meetings, hiring and travel across Amsterdam, Zurich and the US, there's a lot to keep track of, and your job is to make sure nothing gets dropped. You'll own their calendars, inboxes and travel, and take care of the personal admin that would otherwise eat into their time. This role suits someone who likes being trusted with the whole picture, professional and personal, and treats both with the same care.</p><p style=\"min-height:1.5em\"></p><h1><strong>Responsibilities</strong></h1><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Run two calendars as one system:</strong> Protect focus time, balance competing priorities across time zones, and decide what deserves a meeting and what can be an email.</p></li><li><p style=\"min-height:1.5em\"><strong>Own the inbox front line:</strong> Triage, draft and reply on their behalf to customers, investors, candidates and the team, so the important things surface and the rest gets handled.</p></li><li><p style=\"min-height:1.5em\"><strong>Plan travel end to end:</strong> Customer visits, conferences and trips between Amsterdam, Zurich and the US, from flights and hotels to the meeting room and dinner booking on the other side.</p></li><li><p style=\"min-height:1.5em\"><strong>Take care of personal and life admin:</strong> Appointments, household logistics, official paperwork, bills and renewals, handled so none of it lands on their desks.</p></li><li><p style=\"min-height:1.5em\"><strong>Prepare every important meeting:</strong> Make sure briefs and context are ready beforehand, and follow up on decisions and action items afterwards.</p></li><li><p style=\"min-height:1.5em\"><strong>Make recurring admin disappear:</strong> Automate repeated processes so they mostly run themselves.</p></li></ul><p style=\"min-height:1.5em\"></p><h1><strong>Requirements</strong></h1><p style=\"min-height:1.5em\"><em>The best people we've hired didn't match a checklist. Below is a list of what matters most for this role. If you bring most of it and are curious about the rest, we'd love to hear from you:</em></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">4+ years supporting senior executives, ideally more than one at a time</p></li><li><p style=\"min-height:1.5em\">Sharp judgment about what's urgent, what can wait and what never needs to reach the exec</p></li><li><p style=\"min-height:1.5em\">Clear, polished written English</p></li><li><p style=\"min-height:1.5em\">You spot the next problem before anyone asks and fix it</p></li><li><p style=\"min-height:1.5em\">Experience handling personal admin alongside the professional side, with the discretion that comes with it</p></li><li><p style=\"min-height:1.5em\">Organised and dependable without needing a rigid structure; at a ~90-person company you'll often build the process yourself</p></li><li><p style=\"min-height:1.5em\">At home in Google Workspace and quick to pick up new software tools</p></li></ul><p style=\"min-height:1.5em\"></p><h1><strong>Nice to Haves</strong></h1><p style=\"min-height:1.5em\">These aren't requirements, but they'd give you a head start:</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">German fluency would be ideal to would make local appointments, paperwork and authorities much easier</p></li><li><p style=\"min-height:1.5em\">Experience in a startup or scale-up environment</p></li><li><p style=\"min-height:1.5em\">Familiarity with Swiss administrative procedures (permits, insurance, tax paperwork, relocations)</p></li><li><p style=\"min-height:1.5em\">Experience with task tools like Todoist, Notion or Linear</p></li></ul><p style=\"min-height:1.5em\"></p><h2>Our commitment to inclusive hiring</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>AI disclosure</h2><p style=\"min-height:1.5em\">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.</p><p style=\"min-height:1.5em\"></p><h2>A notice about recruitment scams </h2><p style=\"min-height:1.5em\">Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://cradle.bio\">cradle.bio</a> 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.</p><p style=\"min-height:1.5em\"></p>","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\nTHE ROLE\n\nAs Executive Assistant at Cradle, you'll keep two of our founding executives moving. Between customer visits, investor meetings, hiring and travel across Amsterdam, Zurich and the US, there's a lot to keep track of, and your job is to make sure nothing gets dropped. You'll own their calendars, inboxes and travel, and take care of the personal admin that would otherwise eat into their time. This role suits someone who likes being trusted with the whole picture, professional and personal, and treats both with the same care.\n\n\n\n\nRESPONSIBILITIES\n\n - Run two calendars as one system: Protect focus time, balance competing priorities across time zones, and decide what deserves a meeting and what can be an email.\n\n - Own the inbox front line: Triage, draft and reply on their behalf to customers, investors, candidates and the team, so the important things surface and the rest gets handled.\n\n - Plan travel end to end: Customer visits, conferences and trips between Amsterdam, Zurich and the US, from flights and hotels to the meeting room and dinner booking on the other side.\n\n - Take care of personal and life admin: Appointments, household logistics, official paperwork, bills and renewals, handled so none of it lands on their desks.\n\n - Prepare every important meeting: Make sure briefs and context are ready beforehand, and follow up on decisions and action items afterwards.\n\n - Make recurring admin disappear: Automate repeated processes so they mostly run themselves.\n\n\n\n\nREQUIREMENTS\n\nThe best people we've hired didn't match a checklist. Below is a list of what matters most for this role. If you bring most of it and are curious about the rest, we'd love to hear from you:\n\n - 4+ years supporting senior executives, ideally more than one at a time\n\n - Sharp judgment about what's urgent, what can wait and what never needs to reach the exec\n\n - Clear, polished written English\n\n - You spot the next problem before anyone asks and fix it\n\n - Experience handling personal admin alongside the professional side, with the discretion that comes with it\n\n - Organised and dependable without needing a rigid structure; at a ~90-person company you'll often build the process yourself\n\n - At home in Google Workspace and quick to pick up new software tools\n\n\n\n\nNICE TO HAVES\n\nThese aren't requirements, but they'd give you a head start:\n\n - German fluency would be ideal to would make local appointments, paperwork and authorities much easier\n\n - Experience in a startup or scale-up environment\n\n - Familiarity with Swiss administrative procedures (permits, insurance, tax paperwork, relocations)\n\n - Experience with task tools like Todoist, Notion or Linear\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":[]}}],"apiVersion":"1"}