The role focuses on designing and building enterprise-grade MVP agentic AI applications to demonstrate platform value to prospective customers. It involves translating business problems into technical solutions and collaborating with sales teams to accelerate platform adoption.
DataRobot
19 Remote Job Openings at DataRobot
The role focuses on helping customers adopt and scale Agentic, Predictive, and Generative AI solutions through technical demonstrations and solution design. It bridges the gap between business objectives and technical implementation to ensure production readiness and security alignment.
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 and scale the Professional Services organization across the Middle East and Africa, overseeing technical delivery and P&L for the region. Act as the senior technical bridge between global strategy and regional execution to drive AI platform adoption for enterprise customers.
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.
Develop and maintain features for the DataRobot GenAI platform with a focus on unstructured data connectivity and data processing. Collaborate with global engineering teams to deliver high-quality code while engaging in on-call support for owned services.
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.
The Senior Solutions Engineer partners with sales teams to deliver compelling AI demonstrations and articulate the business value of DataRobot solutions. This role guides enterprise organizations through solution design, proofs of value, and production readiness while ensuring alignment with security and compliance standards.
The Vice President of Federal Sales is responsible for leading a high-performing sales organization to drive revenue growth and new logo acquisition within the U.S. Federal Government. This role involves developing regional go-to-market strategies, managing pipeline generation, and fostering executive relationships across various federal agencies.
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.
Develop and support new compute primitives and APIs while instrumenting DataRobot to integrate with enterprise IT infrastructure. Collaborate with cross-functional teams to define roadmaps and ensure continuous delivery processes are secure, performant, and reliable.
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.
Lead Product Marketing Engineer - Agentic AI Transformation
DataRobot
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Full Time
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4 months ago
DataRobot
This role involves acting as the primary external thought leader for DataRobot's Agentic AI Platform, driving external engagement through creative intuition and strategic outreach. Responsibilities include building awareness among AI leaders and practitioners via live and social channels, and crafting compelling product-centric content.
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.
