Top Remote Senior Level Jobs in Washington DC,

The Sr. Customer Success Manager is responsible for ensuring customer satisfaction through relationship management, operational oversight, and driving financial growth in pharmacy services.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

The Account Executive will drive sales by understanding the RevenueBase platform, managing a full sales pipeline, and closing deals while contributing to company growth and partnerships.

The Transactional Liability Underwriter optimizes underwriting strategies and manages risks for M&A transactions, analyzing contracts and collaborating with stakeholders.

Lead negotiation, lifecycle management, compliance, and risk mitigation for commercial contracts and fee-for-service agreements. Identify commercial funding opportunities, develop cost proposals and pricing strategies, build donor/partner relationships, and implement contract management systems and analytics to protect organisational interests and maximise programme delivery.

As a Forward Deployed Engineer, you will work with GTM teams, helping them maximize the use of Endgame's AI platform, build customer relationships, and drive adoption while influencing product direction.

The Development Program Manager leads utility-scale renewable energy projects, drives development strategies, and engages with C-suite clients to ensure project success from inception to NTP.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

Lead a multidisciplinary delivery team for a major sports client, owning priorities, execution, quality, and operating systems across content, publishing, design, analytics, product, engineering and AI-enabled services. Drive staffing, standards, reviews, large operational projects and client communications while improving processes, tools (Airtable→Linear), automations and use of AI to increase speed and repeatability.

The Senior MLOps Engineer will deploy scalable ML services, optimize resources, manage cloud storage, integrate advanced ML techniques, and set up monitoring solutions, while also automating CI/CD pipelines and workflows.