Top Sales Engineer Jobs in Indianapolis, IN
The Sales Engineer - Citrix provides technical direction and business guidance to partners, develops industry strategies, leads pre-sales activities, demonstrates Citrix solutions, builds relationships, and acts as a technology influencer to support sales objectives.
The Sales Engineer will advocate for and implement IBM automation technologies, develop strategies for operational efficiency, train stakeholders, manage automation projects, monitor performance, and stay updated on industry trends to position Arrow as a leader in automation solutions.
Seeking a Sales Engineer in the Cloud field to provide technical direction and business guidance to channel partner community. Responsibilities include driving technical programs, evangelizing solutions, and serving as a trusted technology influencer. Requires deep knowledge in Cloud technologies, particularly Microsoft Azure.
The Sr. Supervisor, Quality Assurance supervises quality inspections, ensures GMP compliance, manages communication with suppliers, and reviews documentation to guarantee product conformity. Responsibilities include conducting nonconformance investigations, assisting with SOP updates, and supervising inspections in a warehouse setting.
Seeking a Solutions Architect for the Insurance Professional Sales Experience portfolio, responsible for designing, developing, and maintaining sales experiences using tech stacks like AWS, Angular, Orleans, .NET, React, Apollo GraphQL, and Java. Role involves developing technology roadmaps, providing leadership in architecture and software design best practices, and collaborating with engineering teams to optimize non-functional requirements.
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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.
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.
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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