Jobs at DataRobot

The Customer Success Engineer drives the adoption and success of DataRobot's GenAI applications, manages customer health, provides technical solutions, and facilitates user training to maximize value and impact.

The Account Director drives growth in high-value customer accounts, developing strategies for application expansion and risk management, while fostering executive relationships.

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.

The Senior Backend Engineer will lead backend system design, focusing on user management and security, while mentoring junior engineers and ensuring high software quality.

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 Senior Database Engineer will manage database infrastructure within a Kubernetes environment, focusing on automation, performance, and stability, and handling deployment lifecycles and upgrades.

The Account Executive is responsible for new business generation by acquiring customers, managing the sales cycle, and collaborating with cross-functional teams to close deals.

The Senior Account Executive is responsible for generating new business, managing the sales cycle from prospecting to closing, and collaborating with various teams to ensure customer onboarding and success.

The Account Executive is responsible for acquiring new customers, generating sales pipeline, leading discovery sessions, executing deals, and ensuring smooth transitions to post-sales teams.

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

Pre-sales technical lead for federal accounts who builds and delivers AI/ML and GenAI demos, designs compliant solutions (FedRAMP/DoD IL/NIST/FISMA), supports pilots/proofs, advises on data readiness and security, and partners with sales to drive federal adoption.

Quota-carrying account manager responsible for retaining and expanding a portfolio of existing SaaS customers. Own account plans, forecasting, pipeline, renewals, upsell/cross-sell, and stakeholder engagement while partnering with Technical Success Managers to drive usage and value realization.

Lead enterprise sales efforts across a territory: prospect, close new customers, expand existing accounts, manage renewals, and coordinate pre/post-sales to deliver DataRobot AI solutions while maintaining pipeline and forecasts in CRM.

Lead a team of Account Managers to drive customer retention, expansion revenue, and net-new logo acquisition by developing AI-focused account strategies, advising on generative and agentic AI solutions, coaching sales/account teams, partnering cross-functionally, and tracking performance and risk to grow enterprise AI adoption.

Lead pre-sales technical engagements for oil & gas customers: run discovery, design solutions, deliver demos and proofs-of-value, advise on deployments (edge/on‑prem/air‑gapped), and align AI governance, security, and OT integration to drive production, reliability, and emissions outcomes.

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.

The Senior Engagement Director will lead advanced AI customer initiatives, managing project delivery and aligning business goals with technical execution while mitigating risks.

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.

Remote 6-month internship building and deploying agentic AI workflows to automate engineering processes (CVE triage, support ticket management). Use AutoML/GenAI and MLOps tools to design, evaluate, and ship solutions, work autonomously with mentorship, document deliverables, and present results to leadership.