Alembic
Causal AI platform for marketing measurement
Alembic builds a causal AI platform that connects marketing spend to revenue outcomes using proprietary algorithms and graph neural networks. It serves enterprises like airlines, CPG, and financial services to enable deterministic attribution, forecasting, and optimization across channels. This matters as it provides CFO-grade causal evidence replacing correlation-based guesswork in decision-making.
Senior Network & Site Reliability Engineer
Design, operate, and automate the global network and reliability layer for a high-performance NVIDIA DGX SuperPOD supporting ML workloads. Own architecture, observability, incident response, and security for mission-critical infrastructure.
Senior Field Scientist
Leads design and execution of field studies using customer data to validate marketing effectiveness of AI, cloud, and data solutions. Presents findings to C-level stakeholders, mentors juniors, and drives research methodology in pre-sales for enterprise clients. Requires 5+ years in sales engineering or data science with strong Python and analytical skills.
Senior Applied AI Engineer
Builds and maintains Python backend services, APIs, data pipelines, and infrastructure integrating GPU-resident compute for causal AI analytics platform. Requires 5+ years backend experience, ability to ship in ambiguous environments, and work across stack for production reliability.
Patent Counsel
Identifies and protects patentable innovations in causal AI and HPC by reviewing codebases, drafting USPTO applications, and managing global IP portfolio. Requires USPTO registration, 4-8 years experience, and ability to read Python/C++ code.
Senior Site Reliability Engineer
Builds and maintains scalable infrastructure for real-time analytics and ML workloads, focusing on reliability, automation, CI/CD, monitoring, and incident response. Requires 8+ years SRE/DevOps experience with Kubernetes, Terraform, Linux, and observability tools.
Research Engineer - Causal AI
Designs and implements novel causal inference algorithms and production systems for marketing attribution challenges at enterprise scale. Requires 5+ years shipping research code, strong math/stats background, Python proficiency, and customer collaboration.