You will own the product strategy for the AI infrastructure and orchestration layer, focusing on workload placement, scaling, and lifecycle management. This involves collaborating with engineering pods to define API contracts, resource models, and reliability standards for Kubernetes-based deployments.
The Lead AI Engineer will serve as a strategic advisor to C-level executives, driving the technical vision and successful delivery of complex AI programs. They are responsible for establishing architectural best practices, managing technical risk, and ensuring high customer satisfaction across the professional services portfolio.
The Customer Success Engineer acts as a technical bridge to drive adoption and consumption of GenAI applications for customers. They are responsible for monitoring customer health, facilitating onboarding workshops, and providing technical advocacy to internal product teams.
The Lead Account Manager is responsible for expanding and retaining relationships within a portfolio of non-strategic customers through upsell and cross-sell motions. They own the commercial relationship post-sale, executing account plans and partnering with Technical Success Managers to ensure customer value realization.
Collaborate with strategic customers to translate business challenges into AI solutions using the DataRobot platform. Design and deploy a variety of applications including Agentic AI, GenAI chatbots, and predictive machine learning models.
The Lead Account Executive is responsible for driving revenue growth through new customer acquisition, account expansion, and contract renewals. The role involves articulating the value of the DataRobot AI platform to solve business challenges and building strategic partnerships.
The role involves acting as a technical leader to architect AI solutions and lead proof-of-value engagements across the energy value chain. You will partner with sales teams to translate business priorities into technical requirements and deliver outcome-oriented demos for oil and gas use cases.
Lead a team of Account Managers to drive customer retention, incremental revenue growth, and new business acquisition. Serve as a subject matter expert on generative and agentic AI to help clients integrate AI solutions into their business stacks.
Design and deploy agentic AI workflows to automate high-volume engineering processes like CVE triage and support ticket management. Collaborate across teams to translate business pain points into scoped AI/ML problems and present findings to leadership.
The role involves designing and building enterprise-grade MVP agentic AI applications to demonstrate platform value to prospective customers. You will translate business problems into technical solutions and deliver outcome-oriented demos to accelerate platform adoption.
The role involves partnering with federal sales teams to design and demonstrate AI solutions that align with agency missions and security standards. It requires bridging the gap between business objectives and technical implementations to drive AI adoption across federal agencies.
Drive day-to-day product security by automating security processes in the CI/CD pipeline and managing container security. Handle customer security inquiries and conduct end-to-end vulnerability and threat assessments for DataRobot products.
The Customer Success Engineer drives the adoption and consumption of GenAI applications by serving as the technical bridge between developers and the DataRobot platform. They are responsible for onboarding customers, monitoring product health, and channeling technical feedback to product teams.
Lead the end-to-end delivery of complex Agentic and Generative AI solutions for enterprise customers. Act as a strategic bridge between C-suite stakeholders and technical engineering teams to ensure business goals are met.
The Account Executive is responsible for generating new business by acquiring net-new customers and managing the full sales cycle within assigned territories. They will partner with internal teams to identify GenAI use cases, execute deal negotiations, and ensure a smooth transition to post-sales support.
Drive territory and account sales plans to meet and exceed quotas through value-based selling methodologies. Collaborate with data scientists to deliver technical demonstrations and proof of value sessions to prospective clients.
