Senior Field Scientist
About AlembicAlembic is solving marketing's hardest problem: proving what actually works. If you're looking for hypergrowth opportunity at a B2B platform working with the world's best enterprises like NVIDA and Delta, this is the place.We're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune 100 companies use to make multimillion dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more.About the Role - Senior Field ScientistWe're hiring a Senior Field Scientist to lead research implementations that prove the value of our data, cloud, and AI solutions for marketers. You will design and execute field studies using customer data, apply rigorous analytical methodologies, and present research findings that validate transformational marketing insights. As a senior member of the team, you will also mentor junior field scientists and drive the evolution of our research methodology. This role is based in San Francisco (Onsite).What You'll DoResearch & Analysis:Design and execute complex field studies that test hypotheses about marketing effectiveness, validating Alembic's transformational valueLead data collection and requirements gathering with senior customer stakeholders, treating each engagement as a scientific research opportunityApply rigorous analytical methodologies to prepare and process customer data, ensuring scientific validity for enterprise-scale research implementationsDevelop and test hypotheses about marketing performance, using experimental design principles to structure customer engagementsResearch Communication & Collaboration:Present compelling research findings to C-level and senior customer stakeholders, translating complex analytical insights into business impactCollaborate with Enterprise AEs and Product teams to align research methodologies with strategic objectives and ensure scientific rigor supports the sales processDrive scalable research processes and best practices across the field science teamMentor and develop junior field scientists in proper experimental design and analytical methodologiesProduct & Process Innovation:Contribute to product roadmap discussions based on customer technical feedback and research outcomesEstablish frameworks for replicable field studies that can be systematically applied across customer engagementsWhat Will Help You SucceedCore Research & Technical Skills:5-8+ years in Sales Engineering, Data Science, or similar pre-sales technical roles in B2B SaaS, data, cloud, or AIProven track record leading successful research implementations that validated complex enterprise solutions and progressed deals to closeStrong data analysis skills with scientific rigor, including ability to design experiments and process large-scale enterprise data setsAdvanced proficiency in Python and/or other scripting languages for data preparation, quality-testing, and statistical analysisDomain Expertise:Deep experience with data platforms, cloud infrastructure, or AI solutionsExcellent communication and presentation skills for sharing research findings with C-level executivesStrong problem-solving mindset and scientific thinking abilityCollaborative and proactive approach with team leadership experienceAbility to travel occasionallyPreferred Qualifications:Experience conducting field studies or research implementations for data, cloud, or AI in marketing contextsBackground as a senior data analyst, business analyst, or technical consultant with experimental design experienceDeep familiarity with enterprise procurement and security review processesStartup or high-growth environment experience with scaling research methodologiesAdvanced technical certifications such as AWS Solutions Architect or GCP ProfessionalAbility to create and manage scalable research frameworks and reusable analytical assetsExperience working with marketing customers and understanding their technical landscapePrevious startup or founder experienceExpert-level technical training or certifications in AI/MLExperience contributing to product strategy and roadmap decisions based on research outcomesAdvanced exposure to value engineering, ROI modeling, and business case development through scientific analysisThe role is right for you if:You're a seasoned field scientist ready to lead research implementations of cutting-edge AI technology. This role offers the opportunity to prove transformational value to Fortune 500 marketing teams through rigorous scientific methodology while building and leading technical research processes that directly impact the sales cycle.You want to build something that is both scientifically challenging and solves a real customer need. You want a role with major upside that tackles a massive market opportunity while mentoring the next generation of analytical talent through proper research methodologies.Why You Might Be Excited About AlembicHigh-impact research with elite clients: You'll conduct breakthrough research implementations with Fortune 100 companies making multimillion-dollar marketing decisions - field studies that matter and clients that move the industryProduct that validates itself: You're not pushing features - you're conducting rigorous analysis that demonstrates 10-100x performance improvements, making prospects say "how is this scientifically possible?"First-mover advantage: You'll be researching and proving something that's never existed before, giving you a massive competitive edge in every analytical conversationSignificant upside: Early-stage equity opportunity with proven product-market fit and enterprise tractionWhy You Might Not Be ExcitedYou prefer demonstrating established, commoditized products with well-defined playbooks over breakthrough technology that requires consultative scientific research and rigorous analytical validationYou want fully built-out research processes rather than helping define and refine our field study methodology through scientific experimentationYou prefer static technical demonstrations over dynamic research opportunities that adapt to market feedback and leverage your analytical strengths