Alembic

Own end-to-end Corporate IT for a fast-growing Causal AI startup: manage employee lifecycle, identity/device stack, internal support, and automation initiatives.

Provides individualized, onsite personal training and wellness coaching for company employees, covering strength, conditioning, mobility, recovery, and healthy habits. The role requires recognized personal-training certification, current CPR/AED credentials, strong 1:1 coaching experience, and disciplined documentation.

Technical Recruiter owning 6-8 full-cycle technical searches (backend, SRE, data engineering) at a Causal AI company. Requires 5+ years high-bar technical recruiting experience, strong closing skills, data-driven approach, and AI-native mindset. Onsite in San Francisco.

Technical Sourcer owning top-of-funnel for hard-to-fill engineering and science roles (CUDA/C++ research engineers, SREs). Build pipelines via advanced research across labs/HPC/quant/PhD channels, personalized outreach, and AI tooling experiments. Requires 3+ years technical sourcing on niche profiles, strong writing/metrics, and onsite in SF.

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.

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.

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.

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.

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.

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.