DataRobot

Director

• Own the end-to-end delivery lifecycle for high-stakes professional services engagements.
• Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot’s technical delivery team (AI Engineers and Data Scientists).
• Leverage your technical background to identify implementation risks early and work with the engineering team to mitigate them before they impact the critical path.
• Cultivate strong, trusted relationships with client sponsors. Manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success.
• Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations.
• Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.

Senior Engagement Director

Security Engineer

• Drive day-to-day security while ensuring our platform meets the demands of our customers
• Develop custom automation to manage security processes and implement "Secure-by-Design" processes in the CI/CD pipeline using Python
• Identify, design, and implement controls to safeguard our containerized production environments
• Deploy and manage product security testing tools for SAST, DAST, and SCA analysis
• Conduct and automate end-to-end vulnerability, threat, and exploitability assessments for actionable fixes and mitigations in DataRobot products
• Perform initial technical investigation for customer reports and security incidents, coordinating with Engineering and IT Security
• Work directly with Sales & Support teams to resolve concerns regarding security exposure and architecture
• Balance business needs with security rigor while maintaining strong professional relationships through clear, diplomatic communication.

Senior Product Security Engineer

Full-stack Engineer

• Help design, develop, and optimize the inference engine that powers DataRobot's agentic infrastructure API, ensuring large language model (LLM) serving systems are fast, scalable, and efficient.
• Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference.
• Collaborate with partners such as NVIDIA to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine.
• Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators.
• Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations.
• Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads.
• Integrate with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead.
• Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams.
• Document and share learnings, contributing to internal best practices and open-source efforts when possible.

Principal Software Engineer

Technical Customer Success

• Accelerate Onboarding & Initial Application Adoption: Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding.
• Drive Ongoing Consumption: Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact.
• Customer Health Monitoring: Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans.
• Technical Advocacy & Solution Feedback: Act as the voice of the customer to DataRobot product and engineering teams, channeling technical requirements, gaps, and enhancement requests.
• Accelerate Initial Group Learning Adoption: Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers.
• Technical Enablement & Training: Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts.
• Use Case Value Realization: Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.

Customer Success Engineer

• Own the end-to-end delivery lifecycle for high-stakes professional services engagements.
• Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot’s technical delivery team (AI Engineers and Data Scientists).
• Leverage your technical background to identify implementation risks early—whether related to data infrastructure, API integrations, or agent logic—and work with the engineering team to mitigate them before they impact the critical path.
• Cultivate strong, trusted relationships with client sponsors.
• Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations.
• Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.

Lead Engagement Director

• Architect and implement scalable, secure Kubernetes-based infrastructure for multi-cloud and hybrid environments.
• Lead technical direction for core Fleet initiatives—control plane services, tenancy models, deployment pipelines, observability layers, and more.
• Mentor engineers across the team, fostering a strong engineering culture of ownership, curiosity, and excellence.
• Drive modernization efforts—introducing patterns like GitOps, Policy-as-Code (Kyverno), Cilium networking, autoscaling, and better resource efficiency.
• Collaborate deeply with SRE, Platform, and Application teams to align infrastructure capabilities with real-world product demands.
• Champion best practices in CI/CD, reliability, container lifecycle management, and dev experience.
• Be a thought partner to engineering leadership and help shape how Fleet scales its impact across the company.

Staff Software Engineer

• Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding.
• Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact.
• Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans.
• Act as the voice of the customer to product and engineering teams, channeling technical requirements, gaps, and enhancement requests.
• Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers.
• Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts.
• Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.

Recruitment

• Perform full life-cycle recruiting utilizing various sourcing methods.
• Responsible for attracting top talent and developing a strong candidate pool.
• Manage open job requisitions, update Workday ATS, and report accomplishments.
• Compile and communicate industry overviews, market trends, data, and analytics.
• Work with hiring managers to ensure job postings are clear and appropriate.
• Participate in refining and assessing recruiting processes to improve quality.
• Develop recruiting strategies from both tactical and strategic perspectives.
• Gain a deep understanding of business needs and critical success factors.

Senior Recruiter – GTM, G&A

Support Engineer

• Provide customer support to DataRobot AI Platform users via the SalesForce ServiceCloud ticketing system during 09:00 AM - 05:00 PM JST (12 AM - 8 AM UTC)
• Help customers over email or Zoom/Webex meetings to facilitate issue resolution
• Work with product, engineering, and data science teams to resolve customer issues
• Create workarounds when standard procedures have failed and ensure issues are solved in a timely manner
• Document customer issues and resolutions, create knowledge base content related to software usage
• Participate in AI Support projects to develop models and tools to automate and improve customer service
• Weekend Severity 1 on-call rotation
• Participate in production incidents (IR) on the DataRobot MTS (SaaS) platform as an Incident Communicator
• Collaborate with regional partners to resolve outstanding issues and engage the in-house Partner Enablement team to drive operational excellence.
• Contribute to the design and scale agentic workflows to automate complex internal queries, while establishing a continuous feedback loop for support bot optimization and performance tuning.

AI Support Engineer II

• Own the end-to-end delivery lifecycle for high-stakes professional services engagements
• Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot’s technical delivery team
• Leverage your technical background to identify implementation risks early
• Cultivate strong, trusted relationships with client sponsors
• Help customers understand how to operationalize and adopt Agentic workflows
• Run agile sprints, stand-ups, and sprint reviews

DevOps Engineer

• Rightsize workloads for efficient resource utilization in Kubernetes and cloud service
• Contribute to the development, deployment and operations for new microservices within the platform
• Review technical specifications to provide guidance and help development teams drive operational excellence
• Work hand-in-hand with software developers to facilitate the development and adoption of "Paved Road" solutions and DevSecOps processes
• Support large-scale services across multiple environments
• Assist in resolution efforts for problems ranging from infrastructure network layers to application scaling
• This role includes participation in an on-call rotation - we believe in shared ownership of our platform and aim to build systems that are resilient, observable, and require minimal intervention.

DevOps Engineer II

• Source candidates for a current pipeline/future hiring needs in every possible way (LinkedIn, DataRobot’s ATS, inbound job applications, social media, extensive name generation, taking advantage of user groups, blogs and other relevant spaces on the web);
• Relentlessly serve as a company advocate through every contact you have with prospect/candidate;
• Keep an eye on the existing database, continuously filling in the details, missing from the profiles;
• Be knowledgeable about DataRobot and why people should work here.

Contract Talent Sourcer

• Accelerate Onboarding & Initial Application Adoption: Guide customers through first-use milestones by enabling key personas, resolving blockers, and ensuring consumption of initial apps deployed during onboarding.
• Drive Ongoing Consumption: Monitor usage, identify underutilized apps / stalled users, and engage with customers to increase activation and business impact.
• Customer Health Monitoring: Actively track product usage, satisfaction, and success milestones to surface risk early and coordinate mitigation plans.
• Technical Advocacy & Solution Feedback: Act as the voice of the customer to *’s product and engineering teams, channeling technical requirements, gaps, and enhancement requests.
• Accelerate Initial Group Learning Adoption: Facilitate onboarding workshops and training sessions for multiple user groups, enabling key personas to reach first-use milestones and overcome common blockers.
• Technical Enablement & Training: Deliver targeted, scalable enablement sessions and create reusable knowledge-sharing materials designed for diverse audiences across accounts.
• Use Case Value Realization: Collaborate with Engagement Directors to ensure learning initiatives align with business goals and capture feedback and outcomes for executive reviews.

Account Executive

• Own the full sales cycle for net-new customers, from prospecting and qualification through close.
• Partner with Business Development Reps to prioritize prospective accounts, develop prospecting strategies, and convert qualified buying groups into active opportunities.
• Lead discovery to identify business problems and map them to DataRobot’s GenAI solutions.
• Manage opportunity progression, pricing, and negotiation; maintain accurate forecasting and CRM hygiene.
• Ensure smooth transitions post-sale by aligning internal stakeholders.

Senior Engagement Director

Senior Product Security Engineer

Principal Software Engineer

Customer Success Engineer

Lead Engagement Director

Staff Software Engineer

Customer Success Engineer

Senior Recruiter – GTM, G&A

AI Support Engineer II

Lead Engagement Director

DevOps Engineer II

Contract Talent Sourcer

Customer Success Engineer

Senior Account Executive

Customer Success Engineer