Teams at DataRobot

Generate and qualify new-logo opportunities for Account Executives by researching target accounts, conducting multi-channel outbound outreach, uncovering business needs, scheduling discovery meetings, and maintaining accurate CRM records. The role collaborates with Sales and Marketing to build pipeline for DataRobot’s generative AI platform and applications, while meeting activity and conversion targets.

Build and improve AI agent systems focused on Model Context Protocol and memory. Work includes developing MCP servers and clients, integrating tools and memory into agent loops, experimenting with context retrieval, testing behavior, documenting implementations, and shipping iterative improvements. The role emphasizes Python development, curiosity about agent systems, clear communication, collaboration, and learning through hands-on experimentation.

Conduct research engineering for a probabilistic foundation model spanning temporal, tabular, and mixed-modality data. Design model architectures, encoders, attention mechanisms, distributional output heads, and decoding strategies; implement and train scalable PyTorch models; run controlled experiments, ablations, and performance profiling; diagnose training behavior; and produce reproducible, production-quality code. Candidates with stochastic modeling expertise may also develop synthetic data generators and simulate richer stochastic dynamics.