Top Tech Jobs & Startup Jobs in Washington DC,

Lead Revenue Operations to unify pipeline from leads to renewals, build multi-touch attribution and forecasting, automate processes, apply AI to workflows, oversee Salesforce/HubSpot/data warehouse integrations, deliver executive dashboards, and manage a small RevOps team.

Lead NetSuite implementation workstreams: capture requirements, configure systems, manage data migration and integrations, validate processes, run testing and training, produce documentation, manage client escalations and timelines, and mentor junior consultants to ensure successful project delivery and adoption.

Deliver end-to-end NetSuite implementations: capture requirements, configure systems, manage data migration/integration, test and train users, produce documentation, manage client communication and project tasks, and mentor junior consultants. Support industry-specific solutions across supply chain, project-based services, field service, and subscription/software environments.

Build and ship agentic AI features across the full stack: design LLM-driven workflows, implement backend APIs and frontend UI, integrate MCP server capabilities, monitor production behavior, and iterate based on customer use. Drive projects independently, collaborate with product/design/engineering, and use agentic coding tools to prototype and deliver end-to-end features.

Collaborate with the founding team to design, prototype, and scale backend and infrastructure for an agentic AI assistant. Implement orchestration logic, API integrations, and LLM-driven workflows; build diagnostics, tests, and monitoring; improve agent reasoning and execution pipelines; participate in product and architecture discussions; document bugs and stabilize the platform for launch-readiness.

Build and maintain front-end and back-end platform features for a SaaS compliance product using React, TypeScript, and Go. Collaborate with product, design, and engineering leads to design relational schemas, write reliable code, debug defects, and automate repetitive tasks to improve team velocity and software quality.

Work directly with founders to research AI SaaS markets, identify high-fit accounts and buyers, prepare personalized outbound, maintain CRM discipline, track replies/objections, run GTM experiments, and support founder-led sales to create real customer conversations.

Lead operational oversight of advertising execution across Meta, troubleshoot delivery and API issues, investigate platform and policy changes, collaborate with Product to improve tooling and automations, triage incidents with Customer Success, and manage offshore operations teams to ensure consistent performance and communication.

Own and execute SEO strategy across technical SEO, keyword research, AI-search (AEO/GEO), and on-page optimization. Build prioritized keyword targeting, run competitive gap analyses, coordinate dev tickets to ship fixes, shape high-intent page content, and produce reporting that separates non-branded and AI-driven acquisition to drive qualified organic signups.

Own delivery for product features: decompose briefs into shippable increments, maintain backlog quality, define acceptance criteria and done, prioritize by value vs cost, measure and improve delivery metrics, communicate status to stakeholders, and unblock the engineering team to ensure fast, predictable shipping.

Lead creation and optimization of performance-focused ad creatives from concept to scale. Translate marketing hypotheses into testable assets, run rapid experiments, analyze CTR/CPA/ROAS results, iterate based on data, and collaborate with marketing teams to scale winning concepts while eliminating underperformers.

Design, build, and operate CI/CD, Kubernetes-based platforms, deployment automation, and observability for engineering workflows. Improve reliability, performance, and scalability across cloud and on-prem environments, debug cross-boundary failures, perform root-cause analysis, and deliver durable platform software and self-service tooling.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.

Design, implement, and maintain Python frameworks and services that orchestrate distributed engineering workflows across machines and clusters. Build scheduling, execution, resource management, failure recovery, and test infrastructure. Define APIs and abstractions, reason about concurrency and distributed-systems behavior, debug complex multi-system issues, write automated tests and documentation, and partner with platform, CI, release, QA, and product teams to deliver scalable infrastructure.

Prepare fund accounting journal entries, financial statements, management fee calculations, investor capital calls/distributions, cash and intercompany reconciliations, assist with audits and tax filings (1099, K-1), support compliance, manage Excel/macro requests, and partner on technology automation projects for VC and private equity clients.