Alembic
Senior Field Scientist
San Francisco HQ · Senior
Sponsorship not specified$10k-$100kDetected 83 days ago
PythonAWSGCPCloud PlatformsMachine LearningData AnalysisData ScienceStatisticsA/B TestingProduct StrategySalesProcurementResearchExperimental DesignLeadershipCommunicationCollaborationProblem SolvingMentoring
About the role
- This role is based in San Francisco (Onsite).
- High-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 industry
Responsibilities
- 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
- Develop and test hypotheses about marketing performance, using experimental design principles to structure customer engagements
- 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
Nice to have
- Experience conducting field studies or research implementations for data, cloud, or AI in marketing contexts
- 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
- 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
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
- 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
- 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
Compensation
- $10k-$100k
Benefits
- Significant upside: Early-stage equity opportunity with proven product-market fit and enterprise traction
Apply directly at Alembic →Create a free account for alerts like thisView Alembic immigration profile
This listing is sourced directly from Alembic's careers page and normalized into a canonical job model.