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Lead product strategy and execution for the Energy & Refined Fuels SaaS portfolio, driving product innovation and collaboration across teams.

Lead and scale DTN's account-based marketing strategy, driving measurable pipeline and revenue through targeted multi-channel programs, in collaboration with sales teams.

The Controller will lead DTN's global accounting function, ensuring accurate financial reporting and internal controls, while partnering with the CFO on financial strategy.

Lead go-to-market strategy, positioning, messaging, and sales enablement for the Fuels Operations Hub. Drive launches, buyer segmentation, competitive intelligence, customer research, sales enablement assets, and GTM performance measurement. Partner cross-functionally with Product, Sales, Customer Success, and Marketing to translate complex fuel operations into clear value propositions and support strategic sales and thought leadership initiatives.

DTN seeks SaaS Sales professionals for B2B technology sales focusing on consultative selling, business acquisition, and cross-functional collaboration. Responsibilities include prospecting, sales execution, and client transition with a strong emphasis on pipeline management.

Lead design and implementation of GraphQL/semantic APIs on AWS AppSync, integrate data sources with Data Engineering, optimize serverless performance, establish governance and security, drive code quality and testing, mentor junior engineers, and document semantic API patterns.

The Solution Engineer will support sales in the Agriculture sector by providing technical expertise, product demonstrations, and recommendations to clients, driving revenue growth.

Lead complex software implementation projects by managing timelines, governance, and stakeholder communication. Drive adoption and ensure successful outcomes.

Responsible for designing and implementing GraphQL APIs, leading API architecture development, integrating data sources, mentoring junior engineers, and ensuring data governance and security practices.

Lead market data collection, validation, analysis, and governance across multiple asset classes. Build QA processes, data models, dashboards, and documentation. Partner with engineering, ops, risk, and business teams to resolve data issues, improve workflows, and prioritize enhancements. Mentor and manage a team to deliver high-quality market data, analytics, and reporting.