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.
DataRobot
18 Remote Job Openings at DataRobot
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.
Lead the end-to-end delivery of complex enterprise AI engagements, specifically focusing on Agentic and Generative AI solutions. Act as a strategic bridge between C-suite business stakeholders and technical engineering teams to ensure measurable ROI.
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.
Lead the design, development, and support of access-related functionality for the platform, including user and tenant management. Provide technical leadership and mentorship to junior engineers while managing project milestones and code reviews.
The Lead Engagement Director will own the end-to-end delivery lifecycle for high-stakes AI engagements, managing scope, budget, and execution. They will act as a strategic bridge between client business stakeholders and technical delivery teams to ensure successful adoption of Agentic and Generative AI solutions.
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.
The Director will serve as the most senior technical leader on major engagements, advising C-level executives on AI strategy and architectural roadmaps. They are responsible for building and scaling a high-performing team of AI Engineers while owning the technical success and quality of the Professional Services portfolio.
The role involves owning the full lifecycle (administration, automation, and troubleshooting) of critical database systems operating within a large-scale, multi-tenant Kubernetes environment. Key tasks include designing, implementing, and maintaining database infrastructure using StatefulSets, Operators, and Helm charts to ensure reliability and scalability.