Top Remote Senior Level Sales Engineer Jobs in Philadelphia, PA

The Sr. Technical Marketing Engineer will work closely with product management, develop competitive offerings, and create technical thought leadership. Responsibilities include assessing the competitive landscape, transforming product analysis into collateral, and executing performance testing while collaborating with various teams.

As a Staff Software Engineer on the Data Snapshot team at Reddit, you will design and create a product for delivering high-quality data to partners, enhance the data infrastructure for real-time processing, and mentor other engineers. You'll collaborate with teams across the organization to ensure data quality and consistency at scale.

The Sr. Sales Engineer at Dialpad will be responsible for running product demonstrations, conducting proofs of concept, and providing technical support during the sales process. The role requires collaboration with the Enterprise Sales team to address customer needs and present effective solutions, while ensuring a deep understanding of Dialpad's products and the associated technical tools.

The Senior Backend Engineer at Mercury will design and develop scalable backend systems, focusing on driving feature adoption and improving customer onboarding. Collaborating with engineers and data scientists, the role emphasizes rapid testing and data-driven experimentation to innovate and enhance core features. The engineer will also build tools to support sales and relationship teams in engaging high-value customers.

Seeking a Senior Solution Architect to sell CX solutions, meet client requirements, architect solutions, present and demo solutions, and collaborate with teams. Requires 5+ years of IVR development experience, knowledge of IVR and speech standards, contact center infrastructure experience, and strong communication and presentation skills.

As a Senior Engineer on the Core Data team, you'll design and build a Cloud Data Warehouse focused on incremental updates, develop ETL pipelines for petabytes of data, and collaborate to improve data processing and infrastructure scalability and efficiency.