Top Remote Jobs

Provide ServiceNow technical expertise for enterprise clients: attend workshops, develop, configure, integrate, test, and deploy solutions; maintain best practices and stay current with platform updates.

As an Integration Engineer, you'll collaborate with customers to gather integration requirements, manage data exchange, monitor integration performance, and maintain documentation.

The Sales Engineer will engage in pre-sales and post-sales efforts, demonstrating cybersecurity solutions to prospects and translating technical concepts for varied stakeholders. They will also refine sales materials and relay customer insights for product development.

The Regional Vice President drives financial performance, manages territory distribution, leads the sales process, and develops a team of Regional Sales Managers. They focus on achieving sales goals, developing relationships, and ensuring profitability in the assigned region.

Develop and execute cross-channel, performance-driven media strategies for arts and cultural clients. Build and optimize campaigns across paid social, search, display, CTV, streaming audio, and DOOH; conduct audience and competitive research; monitor performance, produce reports and insights, and present recommendations to clients. Collaborate with account, data, SEO, and media teams to grow audiences and drive ticket sales.

The Lead Full Stack Engineer will partner with the CEO to drive technical vision, build SaaS features, mentor engineers, and manage projects.

Own and deliver server-side features end-to-end for a cloud-hosted accounting SaaS: design data models and APIs, improve performance and reliability, mentor engineers, ensure observability and on-call readiness, collaborate with product and clients, and apply AI-assisted development safely to accelerate delivery.

The Sales Assistant will support sales processes by managing the CRM, coordinating follow-ups, assisting with events, and conducting strategic research.

The Vice President of Data Strategy will lead the enterprise data strategy, managing AI/ML capabilities, ensuring data governance, and delivering insights to drive healthcare outcomes.

Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.