Top Remote Senior Level Jobs in Washington DC,

Design developer tools for testing, evaluating, debugging, and observing AI voice agents. Translate dense real-time data into clear interfaces, create AI-native workflows, prototype in code, collaborate closely with engineers, and contribute polished patterns to a design system for technical users.

Build and scale secure data lakehouse and warehouse infrastructure supporting analytics, machine learning, clinical AI performance monitoring, and self-service insights. Develop scalable data pipelines, models, orchestration, quality controls, and LLM-enabled analytics tools using heterogeneous clinical and EHR data. Collaborate with engineering, data science, clinical, product, and client success teams to establish trustworthy metrics and technical solutions.

Leads customer engagement and execution for government and industry defense programs from award through demonstration, delivery, and fielding. Owns schedules, budgets, milestones, risks, contractual commitments, customer relationships, cross-functional coordination, demonstrations, test events, deployments, reporting, and proposal support. Requires strong defense acquisition knowledge, program leadership, communication, and the ability to manage complex priorities in a fast-growing defense technology company.

Sell Flai’s AI-native sales CRM to automotive dealerships and dealer groups. Responsibilities include prospecting, discovery, tailored demonstrations, pilot design, proposals, negotiation, closing, expansion, pipeline management, forecasting, and customer handoff. The role requires evaluating dealership sales workflows, managing CRM replacement concerns, coordinating data migration and rollout plans, and providing competitive feedback to product and founders. This is a remote position with deal-related travel.

Strategists apply political research, data, and tools to provide actionable guidance to Democratic campaigns and progressive organizations. They build trusted relationships with candidates and senior staff, address ambiguous needs proactively, operate in fast-changing election environments, present recommendations, and help improve tools for the 2028 election cycle. The role may be full-time, part-time, contract, project-based, or a short-term fellowship.

Leads enterprise AI transformation initiatives, initially focused on Accounting and Finance. Assesses processes, builds and manages an AI roadmap, develops business cases, oversees cross-functional implementations, manages vendors and budgets, drives adoption, and measures productivity, cost, accuracy, and ROI improvements.

Develop and manage financial plans, forecasts, models, KPI reporting, and variance analyses. Partner with executives and cross-functional teams to improve profitability, operating efficiency, and forecast accuracy. Support budgeting, monthly close, project profitability, pricing, ROI analysis, and board-level reporting. Build automated FP&A workflows using AI and finance platforms while delivering strategic insights and clear recommendations.

Principal Engineer responsible for architecting, building, testing, deploying, and operating full-stack TypeScript applications. The role leads React and Next.js front ends, Node.js services, APIs, cloud infrastructure, integrations, databases, CI/CD, observability, security, and AI capabilities. It owns products end to end, establishes engineering standards, partners with creative and operations teams, and provides technical leadership on client projects. Strong autonomy, communication, architecture, and production operations skills are required.

Build and maintain hardened, minimal container images across Linux distributions and application runtimes. Remediate CVEs, troubleshoot package and dependency issues, reduce attack surfaces, and develop automation for image building, scanning, testing, versioning, SBOM generation, and publishing. Validate compatibility with Kubernetes and containerized environments, collaborate with infrastructure and security teams, establish hardening standards, and document curated-image usage.

Develops data quality checks, metadata standards, and AI use-case inventories for HHS. Cleans and integrates complex datasets, applies machine learning and NLP for automated tagging and classification, evaluates AI governance risks, and produces reporting datasets, dashboards, and recommendations. The role requires translating ambiguous federal policy and reporting requirements into repeatable analytical workflows while collaborating with product, design, engineering, and government stakeholders.