Top Tech Jobs & Startup Jobs in Washington DC,

Lead customer site implementations and go-lives for M7 Health: manage project plans, train unit leadership, ensure first-month adoption, monitor engagement, surface customer feedback to product, and provide in-person support during activations.

Manage onboarding, adoption, and renewals for insurance clients by leading rollouts, coordinating internal resources, advising Anti-Fraud/Claims/Underwriting teams, tracking KPIs, delivering executive business reviews, driving retention and growth, and surfacing customer feedback to product and leadership.

Serve as strategic Enterprise Customer Success Manager overseeing implementations, relationship building, risk resolution, and transition to production. Collaborate with product, delivery, DevOps, and engineering teams to scope requirements, drive agile delivery, present insights to executives, and grow accounts through consultative support and technical guidance.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Drive architecture choices (attention variants, MoE), optimize training stability and optimizers, validate scaling laws and compute/data tradeoffs, design loss and alignment strategies (RLHF, DPO, contrastive), and execute distributed training (FSDP, ZeRO-3, tensor/pipeline parallelism) with mixed precision and checkpointing while partnering with ML systems teams.

Partner with Account Executives to lead technical discovery, design outcome-driven demos, manage RFPs and security reviews, identify integration risks, ensure solution accuracy, and hand off closed deals to implementation for large multi-unit restaurant accounts.

Manage day-to-day general ledger across multiple client entities: record transactions, post journal entries, perform month-end close, process AR/AP and payroll-related entries, reconcile bank accounts, maintain fixed asset and prepaid schedules, review trial balances, and communicate financial information to non-financial clients.

Lead and execute integrated national brand campaigns and drive-period activations. Coordinate stakeholders, develop creative assets and toolkits, manage media and partner deliverables, collect performance data, support budgeting/RFPs and vendor management, and run campaign planning and post-campaign evaluations to grow brand reach and revenue.

Manage end-to-end coordination of celebrity and sports-related wishes, acting as liaison with talent representatives and chapters. Oversee scheduling, logistics, onsite support, CRM tracking in Salesforce, relationship-building with entertainment/sports contacts, cross-functional planning, and story/media coordination, ensuring tailored, safe, and mission-aligned wish experiences.

Lead reporting, analysis, automation, and QA for revenue cycle analytics. Build Power BI and Excel reports, design data models, automate workflows with SQL/Python, integrate AI agents, validate data integrity, and deliver actionable insights to leadership and operations.

Drive new client acquisition and expansion sales for R1s Revenue Performance Solutions across an assigned region. Build and execute go-to-market strategy, develop pipeline with BD, meet quota and forecast, manage C-suite relationships, document activity in Salesforce, collaborate in team selling, and travel up to 50% to support wins and account growth.

As an Interface Specialist II, you will develop and optimize automated processes, support integrations, manage projects, and collaborate on process improvements.

Lead design, planning, facilitation, and execution of complex Technical Assistance Unit projects. Manage convenings, long-term initiatives, stakeholder collaboration, strategic communication, resource allocation, and data-informed evaluation. Provide consultation and coaching, analyze requests and intake, develop inclusive written and visual products, and champion equity. Travel 50%+ required.

The Senior Software Platform Engineer will design and maintain cloud-based MLOps pipelines, collaborate with cross-functional teams, and support AI workloads to enhance production capabilities.