Top Sales Engineer Jobs in Austin, TX

The Solutions Architect leads the technical sales cycle, uncovers supply chain inefficiencies, and designs integration solutions while advising executives.

The Solutions Engineer will lead technical strategies for customer engagements, collaborating with sales teams to design identity and data solutions, ensuring customer adoption and satisfaction through innovative architecture and workflows.

The Pre-Sales Solution Engineer collaborates with sales teams to understand customer needs, demonstrate TrakSYS solutions, and ensure technical feasibility through PoCs and tailored implementations.

The Solution Engineer at monday will support sales by leveraging technical expertise in SaaS, assisting prospects in understanding the product and establishing effective methodologies. Responsibilities include streamlining sales processes and mapping business processes for implementation on the platform.

Support technical sales processes, assist in product demonstrations, manage customer queries, and maintain relationships with technical stakeholders to enhance customer satisfaction.

The role involves supporting partners with technical expertise in pre-sales, building relationships, providing guidance, and enabling Sales and Channel teams to sell SailPoint solutions effectively.

Lead a Sales Engineering team to support higher education clients, improve team performance, manage pre-sales processes, and collaborate with sales management to enhance Superhuman's market presence.

Lead solution design and technical strategy for complex enterprise opportunities: conduct discovery, design integrations with CRM/data platforms/identity/analytics, deliver tailored demos, support RFP/RFI responses, mentor teammates, and develop reusable assets and playbooks to drive deals and measurable ROI.

The ActiveDisclosure Solutions Engineer demonstrates the ActiveDisclosure platform to clients, aligning their needs with the solution, and providing consultative guidance by leveraging financial expertise.

Identify customer use cases for AI technology, manage commercial processes, develop applications, and foster strategic relationships with key decision-makers.