Top Tech Jobs & Startup Jobs in Washington DC,

Lead executive relationships with enterprise healthcare clients, owning client success, retention, renewal readiness, risk mitigation, and responsible growth. Apply deep healthcare revenue cycle expertise to improve collections, accounts receivable, denials, billing, and financial outcomes. Develop recovery and value realization plans, present performance reviews, coordinate cross-functional teams, manage escalations, identify expansion opportunities, and advise hospital CFOs and revenue cycle leaders on performance improvement.

Own the post-implementation lifecycle for B2B SaaS customers, driving adoption, retention, renewals, expansion, and measurable business outcomes. Build relationships with laboratory, quality, IT, and executive stakeholders; develop success plans; monitor usage and health metrics; guide LIMS configurations and integrations; lead enablement and renewal conversations; and collaborate with internal teams to resolve issues and improve products and processes.

Lead technical delivery for complex Atlassian consulting projects, including discovery, architecture, configuration, integrations, customizations, migrations, workflow implementation, and issue resolution. Guide consultants, translate business needs into technical solutions, document requirements and roadmaps, and deploy Jira and Confluence environments across server, Data Center, and cloud platforms. Advise clients on implementation approaches while ensuring performance, feasibility, and alignment with business outcomes.

Supports and delivers SAP GTS business application solutions through configuration, ABAP development, requirements analysis, testing, documentation, training, production support, and problem resolution. Leads requirements workshops and projects, coordinates resources and schedules, supports change management and disaster recovery, evaluates system alternatives, and provides 24-hour on-call support.

Build and maintain full-stack software products across frontend, backend, data, and AI layers. Own product architecture, deployment, observability, reliability, and maintenance; establish unified data models, secure access controls, AI guardrails, and engineering standards. Collaborate directly with non-engineering users to create self-service workflows and translate ambiguous needs into practical solutions. Ship production LLM-powered systems and support governed data transformation, quality, lineage, and testing.

Leads technical dealer onboarding and large-group launches, ensuring network, security, connectivity, DMS, API, and platform requirements are met. Facilitates IT readiness meetings, explains complex requirements to technical and non-technical stakeholders, troubleshoots infrastructure and integration blockers, coordinates with IT, Cloud, Development, Deployment, and Platform teams, maintains technical documentation, and improves onboarding workflows.

Build and maintain a polished web portal for a premium banking and travel rewards platform using React. Collaborate with designers and engineers on feature scope and product direction, participate in code and design reviews, write well-architected code, tests, and documentation, establish frontend architecture standards, and mentor team members. The role also involves database and API integrations in a fully remote startup environment.

Drives labor productivity, inventory control, and continuous improvement across warehouse facilities. Develops engineered labor standards, performance incentives, dashboards, project scopes, scheduling tools, and corrective actions. Trains operations teams, audits site performance, evaluates material-handling technology, supports change management, and improves processes and cost efficiency. Requires extensive travel and collaboration with cross-functional distribution and logistics teams.

Designs, builds, deploys, and operates production AI/ML and LLM systems. Responsibilities include developing RAG pipelines, fine-tuning and evaluating models, managing end-to-end MLOps lifecycles, establishing monitoring and governance practices, mentoring engineers, and leading complex cross-functional client and internal initiatives.

Design scalable accounts payable automation solutions by translating customer business requirements into technical and functional architectures. Lead discovery sessions, solution workshops, demonstrations, and technical discussions while advising customers on AI-enabled AP transformation. Collaborate with Sales, Product, Engineering, and Implementation teams to assess feasibility, document requirements, identify risks, and ensure successful delivery. Develop reusable solution patterns, improve design methodologies, and promote effective AI use across the organization.