Top Remote Senior Level Jobs in Washington DC,

Lead the bioinformatics pipeline team, setting technical strategy and architecture. Ensure engineering best practices, mentor staff, and oversee DevOps strategy for reliable software delivery in a regulated environment.

This role involves selling enterprise-grade SaaS solutions to the Health Insurance sector, managing C-level relationships, strategizing territory plans, and identifying new opportunities within the Healthcare sector.

Drive new business and expand accounts by selling AI-driven services and software to engineering and manufacturing customers. Manage full sales cycle from prospecting to close, align solutions to measurable ROI, collaborate with technical and marketing teams, and meet revenue targets while attending industry events and maintaining CRM pipeline accuracy.

The Senior Software Engineer will design, build, and maintain solutions for transit agencies, focusing on IoT devices and cloud services, ensuring reliable communication and device management.

Lead end-to-end marketing for YipitData's Investor business, owning demand generation, product go-to-market, customer marketing, campaign execution, and analytics. Partner with Sales, Product, Client Strategy, and Revenue Operations to drive pipeline, retention, and revenue. Build reporting dashboards, optimize performance across channels, and, over time, hire and scale the Investor marketing team.

The Senior Site Reliability Engineer at Juul Labs ensures operational stability and performance of hybrid cloud infrastructure, leads automation, and handles critical incidents.

The Senior Software Engineer at Omada Health will develop scalable backend systems for healthcare applications, lead projects, code, and mentor junior engineers while integrating AI tools and collaborating across teams.

Build and re-architect Shipt's LLM-native search stack including retrieval and ranking systems. Design multi-task and multi-objective models, integrate personalization signals, develop hybrid dense/sparse retrieval, and apply generative retrieval and query expansion. Analyze search data, report findings to leadership, and partner with senior scientists and ML engineers to improve relevance, revenue trade-offs, and operational metrics.

As a Senior AI Engineer, you will develop and optimize Generative AI applications, manage AI pipelines, collaborate with clients, and ensure production delivery with MLOps best practices.

Own and scale the GTM tech stack (Salesforce, HubSpot, integrations), build AI-powered automations and data pipelines, ensure data quality and governance, and partner cross-functionally to optimize revenue processes and operational efficiency.