Top Tech Jobs & Startup Jobs in Washington DC,

As a Senior Product Accounting Manager, you'll collaborate with engineers and designers to translate complex accounting standards into software requirements, ensuring accuracy and functionality across FinQuery's accounting platform, while also mentoring junior team members and communicating with customers.

The Senior Competitive & Market Insights Manager will lead the design and execution of competitive intelligence initiatives, build data architectures, synthesize market insights, and mentor team members, with a focus on utilizing AI tools for data handling.

The Senior Network Engineer leads enterprise network infrastructure design and implementation, overseeing a team, troubleshooting incidents, and ensuring operational stability and security.

The Core Blockchain Engineer will design, build, and scale Ethereum services, improving EVM Node solutions and enhancing tooling for maintainability and reliability.

The Enterprise Account Executive will manage sales cycles, build relationships with enterprise clients, and achieve revenue goals while promoting BigPanda's solutions.

The Quantitative Financial Specialist will research and develop trading strategies, implement models, analyze risks, and build systems for financial trading.

As a Staff AI Engineer, you will develop backend services, integrate APIs, and optimize existing systems within a complex AI platform environment, collaborating with cross-functional teams and ensuring high reliability and performance.

The Sr Coordinator, Client Services is responsible for managing client relationships, facilitating IRB reviews, and ensuring timely communication and documentation for clinical research studies.

The role involves designing and maintaining automation solutions, developing applications, optimizing SQL queries, scripting in PowerShell, and supporting CI/CD processes while leveraging an AI-first approach.

Design and optimize AWS-based data architectures focusing on healthcare and enterprise analytics, bridging operational and analytical needs while incorporating AI tools and DataOps practices.