Alembic
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Recently posted jobs
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Own Alembic’s commercial legal function, including enterprise SaaS contracts, data-processing agreements, security exhibits, NDAs, partnerships, infrastructure procurement, and data-protection matters. Build contracting templates, fallback positions, escalation paths, and legal processes that accelerate sales. Advise on AI regulation, GDPR, CCPA, strategic transactions, financing, vendor agreements, and customer security reviews while partnering directly with Sales, Finance, Security, Infrastructure, and corporate leadership.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Own end-to-end technical implementation and onboarding for enterprise B2B SaaS customers, from kickoff through go-live. Manage project plans, data integrations, documentation, customer communication, implementation metrics, and handoffs to ongoing customer success. Troubleshoot data pipelines, coordinate with engineering and product, remove implementation roadblocks, and build scalable methodologies that reduce time-to-value. The role requires strong SQL and data integration skills, enterprise stakeholder management, and regular onsite work with Chicago-area customers.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Build and maintain scalable infrastructure for real-time analytics and machine learning workloads. Improve reliability through automation, observability, capacity planning, CI/CD, monitoring, incident response, and infrastructure as code. The role partners with engineering and data science teams, manages cloud infrastructure security and compliance, leads post-incident analysis, and supports operational readiness. This is an onsite position in Dunwoody, Georgia.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Own corporate IT end-to-end: employee lifecycle (onboarding/offboarding), device and identity management, first-line internal support, partner with Engineering and Security, and script/automate provisioning and routine work to scale IT.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
The Senior Site Reliability Engineer will design and maintain scalable infrastructure, improve system reliability, manage CI/CD pipelines, and collaborate across teams for operational excellence.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Build and qualify top-of-funnel pipelines for hard technical searches (engineering and science). Conduct market mapping, channel development, personalized outreach, and first-round qualification. Validate pipelines with hiring managers, convert outreach to screens, and create lasting talent infrastructure: pools, nurture sequences, tracking, and new channels.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Own and close 6-8 full-cycle technical searches (backend, SRE, data engineering), partner with engineering leaders, run structured hiring with scorecards and fast feedback, and close multiple high-bar technical hires while building hiring processes and pipelines.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Join Alembic as Patent Counsel to protect breakthroughs in causal AI by navigating legal strategies, patent applications, and managing the IP portfolio.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
The Senior Applied AI Engineer will build and enhance backend services using Python, working closely with data, infrastructure, and APIs to meet customer needs while ensuring system performance and reliability.
Artificial Intelligence • Marketing Tech • Software • Big Data Analytics
Design, operate, and automate global network and reliability infrastructure for large-scale ML workloads and a private supercomputer. Own device configuration management, protocols (BGP, VPNs, WAN), datacenter fabrics, monitoring/SLOs, incident response, security/compliance, and cross-team reliability improvements.


