Senior Field Scientist

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