Top Tech Jobs & Startup Jobs in Washington DC,

Manage full sales cycle for supply-chain software: prospecting, discovery, demos, negotiation, and closing. Build relationships, drive upsell/cross-sell, maintain CRM and forecasts, collaborate with internal teams, support cloud migrations, and stay current on product and industry trends to meet bookings targets.

Build and scale the revenue operations backbone by ensuring data integrity across Salesforce and BI tools, delivering standardized revenue reporting and insights, managing deal desk processes, documenting sales SOPs, driving automation and AI-enabled workflows, and leading cross-functional projects to improve accuracy, efficiency, and scalability for direct and partner-led retail media revenue streams.

Lead enterprise workforce strategy, planning, and execution. Manage a high-performing team, develop forecasting and workforce models, optimize labor investment, partner cross-functionally, deliver executive insights, and drive continuous improvement across multiple locations.

Senior Database Administrator responsible for managing, maintaining, and optimizing database systems. Ensures availability, backups, security, performance tuning, capacity planning, and supports developers and operations. May lead database projects and mentor junior DBAs.

Partner with ops, sales, and support to identify manual workflows and build AI-driven, agentic automation end-to-end. Architect, implement, deploy, and measure full-stack systems (backend, APIs, frontend dashboards) that reliably replace multi-step manual processes, optimize LLM costs, handle failure modes, and report business impact.

Drive partner onboarding, technical enablement, and adoption to ensure measurable value from Blackpoint's cybersecurity platform. Design multi-phase success plans, define KPIs, translate telemetry into business outcomes, provide technical recommendations, assess and mitigate retention risks, build executive relationships, and collaborate cross-functionally to improve product and processes.

Serve as a Cloud FinOps Success Manager advising Azure customers on billing, licensing, and cost optimization. Conduct business reviews, own post-sales relationships, document processes, define KPIs/SLAs, and deliver scalable FinOps onboarding, provisioning, reporting, and escalation practices to ensure high customer satisfaction.

Design, build, and operate distributed, data-intensive backend systems and pipelines. Own production data infrastructure (streaming, batch, analytical stores), debug production incidents, participate in on-call rotations, partner with product and frontend teams, write/review architecture and code, and improve observability, reliability, and deployment practices.

Investigate and resolve customer production issues by analyzing SQL, data feeds (HL7/CSV), and Python code. Communicate status and root cause to customers, collaborate with Data Engineering and Product teams, document tickets in Jira, validate fixes with queries, and contribute to knowledge base and troubleshooting playbooks.

Design, optimize, and operate production LLM inference and training pipelines. Improve latency, throughput, and GPU utilization using techniques like batching, quantization, FlashAttention, and kernel-level profiling. Deploy and autoscale multiple models on shared GKE GPU clusters, consult with clients on performance and cost requirements, and carry prototypes to robust, scalable production services.