GleanUnited StatesFounding forward deployed engineer builds 0-to-1 AI product surfaces for strategic enterprise customers, partnering with C-suite and Glean teams. Requires 4+ years experience, production AI shipping, full-stack depth, and business acumen; 25-50% travel.
Join as a founding member of Glean's forward deployed team to discover and build next-generation product surfaces. Work in a pod with Forward Deployed PMs directly with C-suite executives of influential companies and Glean's engineering/product teams to identify unsolved business problems and create new products that ship globally.
Standard range: $160,000-$270,000 annually (varies by location, level, skills, experience). Eligible for variable pay, equity, benefits including medical/dental/vision, PTO, 401k, stipends, events, lunches.
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.
Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.
Builds and maintains ML infrastructure for training pipelines handling massive 3D data and real-time inference serving integrated with CAD software. Requires 3+ years experience with Python, PyTorch, ML orchestration tools, data versioning, and inference optimization.
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.