Provide front-line and advanced technical support for energy products, managing customer issues from intake through resolution. Collaborate with cross-functional teams to troubleshoot data workflows, system integrations, and configuration issues.
The Account Executive is responsible for identifying, prospecting, and acquiring new business within the agriculture sector through consultative sales and strategic lead generation. They will manage the full sales cycle from initial outreach to closing, ensuring a smooth transition of new customers to the account management team.
Lead and manage a team of platform engineers to build and maintain the foundational capabilities of the Operational Decisioning Platform. Drive technical direction, architectural design, and operational rigor while fostering a collaborative and high-accountability engineering culture.
The Senior Data Product Manager will define the strategy and roadmap for foundational agricultural data products, including pipelines, canonical models, and APIs. They will collaborate with cross-functional teams to ensure data is scalable, governed, and effectively utilized for analytics and AI applications.
The Sales Engineer will lead executive discovery sessions and design strategic solutions that align customer business objectives with DTN's technology. They will partner with cross-functional teams to validate technical approaches and support complex enterprise sales cycles.
Design, develop, and maintain scalable software services to support Workday Finance capabilities and enterprise financial workflows. Collaborate with cross-functional teams to translate business requirements into robust technical solutions while ensuring data integrity and system reliability.
The Sales Executive will drive revenue growth by acquiring new customers and expanding existing accounts within the financial markets ecosystem. They will manage the full sales cycle, conduct product demonstrations, and collaborate with internal teams to ensure customer success and market penetration.
Design, build, and maintain scalable data pipelines and ingestion processes to ensure data quality and reliability across enterprise platforms. Support the development of modern data architecture and automate processes to improve operational efficiency for internal and external stakeholders.
