Top Hybrid Senior Level Jobs

The Exhibits Manager coordinates logistics and support for high-profile federal events, managing planning and execution for various in-person and virtual formats, ensuring compliance with guidelines.

As a Software Engineer for the AI platform, you will build and scale infrastructure, design secure systems, develop tooling, and ensure performance and security for AI workflows in life sciences.

As a Senior Data Scientist, analyze healthcare data to improve health outcomes, develop reports and dashboards, and collaborate across teams to leverage genomic data for health insights.

Oversee the Forward Deployed Engineering team, managing complex customer deployments, ensuring technical quality, and driving strategic alignment with various teams to enhance platform efficacy and client success.

The MCP/Integration Engineer will develop and integrate AI-enabled systems across various environments, focusing on Model Context Protocol services, APIs, and secure communications while collaborating with engineers and stakeholders for seamless mission execution.

The GTM Manager will drive commercial growth by increasing product usage, managing strategic accounts, and identifying revenue opportunities. Responsibilities include customer engagement, product demonstrations, and refining GTM strategies. Requires strong customer instincts and cross-functional collaboration.

Lead the Machine Learning Operations team to develop a robust ML platform, manage projects, and enhance AI tooling integration while driving engineering excellence.

As the Director of Business Development, you will lead client acquisition for Adlook's DSP, establish strong relationships, and drive platform adoption across the US.

As a Data Engineer at Promise, you'll design data architectures, automate workflows, enforce data quality, and support analytics, enabling data-driven decisions.

The Senior Software Engineer will develop product features end-to-end, focusing on building a network platform using technologies like React and Python. Responsibilities include designing solutions, delivering high-quality software, and managing large datasets in a fast-paced environment.