Top Sales Engineer Jobs in Reno, NV
The Inventory Control and Quality Assurance Specialist at Thrive Market is responsible for maintaining the inventory cycle count program, processing member returns, addressing inventory discrepancies, and ensuring compliance with inventory procedures. This role supports audits and ensures accurate transaction records for inventory management.
As an Engineering Manager at Bombora, you will lead a team of engineers to manage the development of audience taxonomy and data delivery pipelines. Responsibilities include overseeing data systems architecture, collaborating with cross-functional teams, enforcing data governance best practices, and ensuring integration with exchange partners. You will also mentor the team and drive improvements in data processes.
The Senior Field Solution Architect at CDW is responsible for pre-sales solution design, developing strategies with sales teams, and acting as a trusted advisor in modern data solutions. They analyze customer environments and define actionable plans to leverage modern data tools, helping clients achieve business outcomes while maintaining strategic relationships.
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The Pre-Sales Engineer at AKIPS is responsible for delivering technical presentations and product demonstrations, establishing client relationships as a trusted adviser, supporting sales efforts, and collaborating with various teams to ensure the product meets customer needs. They will also provide technical guidance and training for partners while promoting AKIPS solutions at events.
The role involves leading digital transformation in sales execution and omni-channel retail for Mondelez. Responsibilities include collaborating with stakeholders, ensuring system stability, executing digital agendas, building strategic roadmaps, and promoting data-driven thinking.
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The Sales Engineer will provide technical direction and business guidance to channel partners, oversee technical account-level activities, and architect solutions focusing on Citrix. Responsibilities include driving strategies, leading technical sales calls, and creating digital content.
The Sales Engineer for IBM Automation will advocate and implement automation technologies, develop strategies for efficiency, and educate stakeholders. They will manage complex automation projects, collaborate with teams, and track solution performance while staying updated on industry trends.
Seeking a Sales Engineer - Cloud with deep knowledge in Cloud technologies to provide technical direction and business guidance to channel partner community in North America. Responsible for partner enablement goals, driving technical programs, evangelizing solutions, and architecting solutions for channel partners within assigned region or technology focus.
As a Senior Solutions Engineer at Flatfile, you will drive technical implementations of an AI-powered data exchange platform. You will work closely with customers to refine integrations, create proofs-of-concept, and ensure a seamless transition from pre-sales to post-sales implementation, ensuring customer satisfaction with their unique data onboarding needs.
As an Enterprise Sales Engineer at Motive, you will be responsible for partnering with Enterprise Account Executives to drive revenue growth, providing customized product demonstrations, matching customer needs to solutions, and supporting in RFIs and RFPs. Minimum 5+ years of experience working with Enterprise sales prospects, excellent communication skills, analytical abilities, and Bachelor's Degree required.
The Solutions Engineer (SE) collaborates with sales teams to assess customer requirements and showcase Imprivata's product capabilities through tailored demonstrations and POC evaluations. Responsibilities include developing proposals and SOWs, conducting discovery interviews, providing enablement services, and transitioning accounts post-sale.
The Senior Director of Engineering, AI/ML will lead a team of ML Engineers and Data/ML Scientists to develop, scale, and integrate AI models into Workiva's platform. This role involves overseeing the architecture of AI systems, aligning AI initiatives with business goals, fostering innovation, and ensuring ethical AI use.
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