Alembic Technologies
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Senior Field Scientist
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Alembic Technologies About Alembic: Alembic 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 NVIDIA 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. The 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. What You\'ll Do
Research & Analysis: Design and execute complex field studies that test hypotheses about marketing effectiveness, validating Alembic\'s transformational value Lead data collection and requirements gathering with senior customer stakeholders, treating each engagement as a scientific research opportunity Apply rigorous analytical methodologies to prepare and process customer data, ensuring scientific validity for enterprise-scale research implementations Develop and test hypotheses about marketing performance, using experimental design principles to structure customer engagements Research Communication & Collaboration
Present compelling research findings to C-level and senior customer stakeholders, translating complex analytical insights into business impact Collaborate with Enterprise AEs and Product teams to align research methodologies with strategic objectives and ensure scientific rigor supports the sales process Drive scalable research processes and best practices across the field science team Mentor and develop junior field scientists in proper experimental design and analytical methodologies Product & Process Innovation
Contribute to product roadmap discussions based on customer technical feedback and research outcomes Establish frameworks for replicable field studies that can be systematically applied across customer engagements What Will Help You Succeed
Core Research & Technical Skills
5-8+ years in Sales Engineering, Data Science, or similar pre-sales technical roles in B2B SaaS, data, cloud, or AI Proven track record leading successful research implementations that validated complex enterprise solutions and progressed deals to close Strong data analysis skills with scientific rigor, including ability to design experiments and process large-scale enterprise data sets Advanced proficiency in Python and/or other scripting languages for data preparation, quality-testing, and statistical analysis Domain Expertise
Deep experience with data platforms, cloud infrastructure, or AI solutions Excellent communication and presentation skills for sharing research findings with C-level executives Strong problem-solving mindset and scientific thinking ability Collaborative and proactive approach with team leadership experience Ability to travel occasionally Preferred Qualifications
Experience conducting field studies or research implementations for data, cloud, or AI in marketing contexts Background as a senior data analyst, business analyst, or technical consultant with experimental design experience Deep familiarity with enterprise procurement and security review processes Startup or high-growth environment experience with scaling research methodologies Advanced technical certifications such as AWS Solutions Architect or GCP Professional Ability to create and manage scalable research frameworks and reusable analytical assets Experience working with marketing customers and understanding their technical landscape Previous startup or founder experience Expert-level technical training or certifications in AI/ML Experience contributing to product strategy and roadmap decisions based on research outcomes Advanced exposure to value engineering, ROI modeling, and business case development through scientific analysis Compensation
Compensation Range: $110K - $170K Location & Travel
San Francisco, CA (Onsite). Travel occasionally. Note: This description reflects the current responsibilities and qualifications and may be subject to change.
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Senior Field Scientist
role at
Alembic Technologies About Alembic: Alembic 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 NVIDIA 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. The 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. What You\'ll Do
Research & Analysis: Design and execute complex field studies that test hypotheses about marketing effectiveness, validating Alembic\'s transformational value Lead data collection and requirements gathering with senior customer stakeholders, treating each engagement as a scientific research opportunity Apply rigorous analytical methodologies to prepare and process customer data, ensuring scientific validity for enterprise-scale research implementations Develop and test hypotheses about marketing performance, using experimental design principles to structure customer engagements Research Communication & Collaboration
Present compelling research findings to C-level and senior customer stakeholders, translating complex analytical insights into business impact Collaborate with Enterprise AEs and Product teams to align research methodologies with strategic objectives and ensure scientific rigor supports the sales process Drive scalable research processes and best practices across the field science team Mentor and develop junior field scientists in proper experimental design and analytical methodologies Product & Process Innovation
Contribute to product roadmap discussions based on customer technical feedback and research outcomes Establish frameworks for replicable field studies that can be systematically applied across customer engagements What Will Help You Succeed
Core Research & Technical Skills
5-8+ years in Sales Engineering, Data Science, or similar pre-sales technical roles in B2B SaaS, data, cloud, or AI Proven track record leading successful research implementations that validated complex enterprise solutions and progressed deals to close Strong data analysis skills with scientific rigor, including ability to design experiments and process large-scale enterprise data sets Advanced proficiency in Python and/or other scripting languages for data preparation, quality-testing, and statistical analysis Domain Expertise
Deep experience with data platforms, cloud infrastructure, or AI solutions Excellent communication and presentation skills for sharing research findings with C-level executives Strong problem-solving mindset and scientific thinking ability Collaborative and proactive approach with team leadership experience Ability to travel occasionally Preferred Qualifications
Experience conducting field studies or research implementations for data, cloud, or AI in marketing contexts Background as a senior data analyst, business analyst, or technical consultant with experimental design experience Deep familiarity with enterprise procurement and security review processes Startup or high-growth environment experience with scaling research methodologies Advanced technical certifications such as AWS Solutions Architect or GCP Professional Ability to create and manage scalable research frameworks and reusable analytical assets Experience working with marketing customers and understanding their technical landscape Previous startup or founder experience Expert-level technical training or certifications in AI/ML Experience contributing to product strategy and roadmap decisions based on research outcomes Advanced exposure to value engineering, ROI modeling, and business case development through scientific analysis Compensation
Compensation Range: $110K - $170K Location & Travel
San Francisco, CA (Onsite). Travel occasionally. Note: This description reflects the current responsibilities and qualifications and may be subject to change.
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