Descripción de la oferta
This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.ContextCradle helps global biotech and biopharma leaders design radically better proteins from next-generation biologics to high-efficiency enzymes powered by cutting-edge generative AI.ResponsibilitiesDrive business development across the global biotech and biopharma landscape, nurturing leads, identifying opportunities, and closing high-value enterprise deals.Own strategic accounts, with a focus on large global players (including the top 10 pharma companies), and deliver millions in annually recurring revenue.Partner cross-functionally with product, ML, engineering, and customer success teams to shape proposals and execute on high-impact, technically complex projects.Act as the voice of the market, surfacing customer feedback and strategic insights to directly inform product direction and roadmap priorities.Build a powerful personal brand in the biotech and AI-for-science space, attending global events, engaging with scientists and executives, and establishing yourself as a trusted advisor in the field.Shape how we sell, improving playbooks, sales processes, and materials as we scale with the freedom to reimagine how enterprise sales is done in a science-driven startup.In a team that’s thinking big and growing fast, there are few limits to this role. You’ll be expected to operate with ownership, urgency, and creativity and rewarded accordingly.Need to havesAdvanced degree in the life sciences (e.G. structural/molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering), or equivalent hands-on experience working with R&D teams in biotech or pharma.5+ years in B2B sales (ideally SaaS), with a proven track record of consistently exceeding quota (top 5%).You’re confident navigating highly technical topics and translating them into business value for R&D stakeholders and executives alike.You thrive in fast-paced, ambiguous environments, are energized by building from scratch and confident writing the playbook, not waiting for one.You listen intently, are innately curious, and learn with humility.Nice to havesStrong business network across biotech/pharma in the DACH region or broader Europe.Domain knowledge in machine learning or its applications in life sciences.Prior experience at a (B2B) growth-stage startup.Prior experience working as bioinformatician or wet lab scientist in an industrial or academic setting.Our commitment to inclusive hiringCradle 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.AI disclosureCradle 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.#J-18808-Ljbffr
