Jobs 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.

Manage DataRobot’s strategic partner ecosystem in Japan, developing joint business plans, enabling partners, generating pipeline, and driving revenue growth. Build executive relationships, support complex enterprise sales cycles, coordinate joint marketing and training, and improve customer expansion, retention, and renewals. Collaborate cross-functionally with Sales, Marketing, Customer Success, Professional Services, Product, and Operations while monitoring partner performance and business metrics.

Drives enterprise revenue growth through new customer acquisition, account expansion, upselling, cross-selling, and contract renewals. Manages the full sales cycle, presents AI platform solutions, maintains pipeline forecasts in Salesforce, and collaborates with marketing, pre-sales, post-sales, support, and product teams. Requires strong executive relationship-building, solution-selling, presentation, and negotiation skills, along with experience selling enterprise software or SaaS to large organizations.

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.

As a Staff Software Engineer, you will lead the technical vision for DataRobot's Fleet team, mentoring engineers and architecting scalable infrastructure using Kubernetes for multi-cloud environments.

Lead the delivery of advanced customer initiatives for AI solutions, manage project risks, and ensure successful client engagements involving predictive and generative AI.

The Account Executive is responsible for acquiring new customers, generating sales pipeline, leading discovery on business use cases, and ensuring smooth post-sales transitions.

Own the product roadmap for AI workload and agent runtime orchestration across Kubernetes clusters and heterogeneous accelerators. Responsibilities include deployment APIs, workload placement, capacity, autoscaling, isolation, networking, governance, metering, reliability, and auditability. The role spans two engineering pods and requires deep expertise in Kubernetes, GPUs, distributed systems, multi-tenancy, platform APIs, and technical prototyping, with influence across matrixed teams and no direct reports.

The Lead Account Executive will drive sales strategies for DataRobot's predictive analytics solutions, focusing on value selling and stakeholder engagement in sophisticated markets while also collaborating with technical teams to demonstrate product value.

Lead pre-sales design and rapid prototyping of agentic AI MVPs, translating business needs into enterprise-grade solutions. Build full-stack prototypes (backend, LLM integration, MCP, orchestration, React UIs), deliver outcome-driven demos, advise on deployment/security, and collaborate across sales, product, and governance teams to accelerate AI adoption.

The Director of AI Engineering leads technical delivery of AI programs, mentors a team of engineers, manages client engagements, and ensures quality of AI solutions in a strategic role.

Post-sales technical expert who drives adoption and measurable outcomes for GenAI applications. Guides onboarding, monitors usage and health, delivers technical enablement, troubleshoots code/logs, advocates product feedback to engineering, and aligns use-case learning with business goals to increase consumption and reduce churn.