Search the 18 jobs at DataRobot

The Senior API Writer will create and maintain documentation for API users, focusing on persona-centric content. Responsibilities include collaborating with developers and technical product managers, peer editing, and ensuring the quality and accuracy of documentation, all while meeting deadlines in a dynamic environment.

The Principal Product Manager, AI Data will guide the development of data capabilities for deep learning and generative AI, managing stakeholder collaborations and overseeing data ingestion for AI/ML workloads, all while driving effective project management and strategic decision-making.

The VP of Integrated Enablement at DataRobot leads the Integrated Enablement team to drive strategy, execution, and improvement of enablement programs aimed at enhancing user engagement and accelerating revenue growth. This role involves collaboration across sales, marketing, and operations to develop effective training and resources for internal and external customers.

The Applied Data Science Associate will undergo a 6-month training program to support customer engagements using the DataRobot platform. Responsibilities include assisting clients with complex data science problems, leveraging AI, and enhancing customer success through effective communication and collaboration with sales and engineering teams.

The Backend Engineer will develop and support features for DataRobot, design APIs, maintain automated tests, manage projects, and collaborate with product management. Ideal candidates should have a strong background in software development, particularly with Python and Go, along with skills in infrastructure design and testing.

The Director of Customer Growth will lead a team of consultative sellers, focusing on expanding existing accounts through upsells and cross-sells, while fostering strong relationships with stakeholders. The role emphasizes collaboration, strategic sales approaches, and driving revenue growth, requiring coaching and mentorship to ensure high-performance and alignment with customer success.

The VP of Sales - Americas is responsible for driving revenue operations and sales strategies within the Americas region, developing a high-performing sales team, and engaging with customers and partners to enhance satisfaction and growth. This role requires effective leadership, market analysis, budget management, and collaboration with various teams to achieve sales targets and company objectives.

The Client Executive is responsible for driving revenue growth by managing strategic accounts, developing long-term client relationships, and facilitating upselling and cross-selling opportunities. This role involves collaborating with various teams to ensure customer success, addressing client needs, and effectively executing account plans to meet sales quotas while maintaining high customer retention rates.

The Software Engineer II will join the Data Services team to develop and support features for DataRobot, working collaboratively in a global team. Responsibilities include writing and maintaining automated tests, managing work items, clarifying requirements with stakeholders, and ensuring high-quality code delivery.

As an AI Support Engineer at DataRobot, you will provide customer support using the DataRobot AI Platform, assist in troubleshooting issues, and collaborate with various teams to ensure timely resolutions. You will document customer issues and contribute to support projects, while managing support through SalesForce ServiceCloud.

The Deep Learning Researcher at DataRobot will advance generative AI initiatives, identify technology gaps, execute long-term research plans, and collaborate with technical experts and AI teams. Responsibilities include crafting strategic research plans, producing scientific publications, and developing prototypes that capture new AI technologies for business value.

As a Frontend Engineer at DataRobot, you will design and implement responsive web interfaces, collaborate with UI/UX designers and backend engineers, and contribute to the development and testing of high-quality features for the AI platform. You will engage in architecture discussions, manage individual projects, and ensure the stability of web services.

The Sr. Data Scientist at DataRobot will act as a trusted advisor on AI for US Federal Government entities. Responsibilities include leading technical engagements, demonstrating the DataRobot product, and collaborating with customers to implement AI solutions that drive business value. The role requires expertise in machine learning and strong customer-facing skills.

The Enterprise Account Executive at DataRobot is responsible for building and executing sales plans to drive value-driven sales of big data analytics solutions. The role involves engaging with technical customers, delivering presentations, collaborating with data scientists, and maintaining communication and reporting through salesforce.com.

The AI Support Engineer will assist customers by reproducing issues, developing solutions, and creating knowledge base articles, ensuring an exceptional customer experience. They will also participate in on-call rotations and work closely with the development team to address complex problems.

As a Principal Software Engineer, you'll design and develop products for end-users using machine learning and Generative AI. Responsibilities include writing production-grade Python code, mentoring engineers, proposing technological improvements, and scaling the platform to support diverse use cases across business domains.

Develop, test, and support features for the DataRobot AI Platform, create automated tests, design infrastructure, manage projects, provide technical feedback, and collaborate with product management. Required skills include Python, Go, automation testing, software architecture, Kubernetes, Helm, and IaC principles.

The Applied Data Science Associate program at DataRobot trains individuals to become Customer Facing Data Scientists, focusing on AI solutions for federal customers. Responsibilities include data preparation, model building, application development, and supporting customer engagements through the DataRobot platform after a structured training program.