Senior Field Scientist

About the role

The Senior Field Scientist leads research implementations that prove the value of Alembic's data, cloud, and AI solutions for marketers. They design and execute field studies, apply rigorous analytical methodologies, and present research findings that validate transformational marketing insights. They also mentor junior field scientists and drive the evolution of research methodology.

Responsibilities

• 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

Qualifications

• 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
• Able 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
• Background in startup or high-growth environments with scaling research methodologies
• Advanced technical certifications such as AWS Solutions Architect or GCP Professional
• 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

Pay

$160K - $185K