Top Remote Entry Level Software Engineer Jobs in Detroit, MI

The Demo Engineer will develop and maintain customized demo assets for the Solutions Engineering team. Responsibilities include building applications for demo environments, creating internal tools for the sales team, and collaborating across departments. The role focuses on coding, particularly with React and SQL, to enhance sales and customer success efforts.

The Field Pre-Sales Engineer will engage with Strategic and Enterprise Account Executives to demonstrate NetBrain’s software, conduct Proof of Concept processes, analyze customer network environments, provide technical leadership, and enhance customer training and experience with the platform.

The Solutions Engineer at MavenAGI will work closely with the sales team to identify customer needs and design tailored AI solutions. Responsibilities include pre-sales support, conducting technical demos, engaging with customers to understand their requirements, and assisting in proposal development.

As an Agronomy Sales Lead, you'll grow market share through sales efforts, develop new prospects, and build strong relationships with customers, collaborating closely with Precision Agronomists. You will manage the entire sales cycle and focus on customer satisfaction while implementing proprietary software solutions for agronomy services.

As a Software Engineer at SpruceID, you will develop secure cross-platform libraries and server software primarily in Rust. Responsibilities include contributing to Rust projects, implementing cryptographic features, and developing mobile applications that interact with backend services. You should have a strong aptitude for statically typed languages and a focus on secure programming practices.

The Sales Engineer will support the onboarding and enablement of Managed Service Provider (MSP) partners, conduct product demos, create educational materials, drive revenue through partner support, and gather feedback to improve offerings.

The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.