Top Tech Jobs & Startup Jobs in Richmond, VA

Leads accounting operations for a remote, multi-entity organization, including monthly close, consolidation, financial reporting, billing, revenue recognition, banking, AP, payroll, audits, tax compliance, and internal controls. Manages a team of 10, partners with finance and business leaders, oversees external audit and tax relationships, and drives process automation and scalable accounting systems.

Administer and maintain enterprise file transfer platforms (IBM Sterling, Axway), ensure secure, reliable transfers, troubleshoot failures, perform upgrades/patches, automate workflows with scripts and Ansible, provide on-call production support, manage security controls and compliance, and create technical documentation and runbooks.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.

As a Business Development Representative, you will manage accounts, develop shipping solutions, enhance customer relations, and drive growth in the Open Deck sector of logistics.

Lead go-to-market strategy for Construction & Trades B2B payments across North America, drive secular shift from checks/ACH to card-based solutions, build sales pipeline, close deals, commercialize solutions with Finance/Sales/Marketing, enable sales with materials and training, and track pipeline performance using SFDC and commercialization tools.

Provides technology support for commercial real estate applications, managing ServiceNow tickets, resolving incidents, performing light application support, maintaining data, and implementing non-technical configuration updates. The role also supports business process analysis, vendor issue resolution, technology changes, and internal user assistance through email and ticketing workflows. Responsibilities include troubleshooting software and hardware, maintaining network systems, gathering project data, and mentoring team members.

Supports semiconductor engineering projects through device testing, characterization, data analysis, process development, and optimization. Collaborates with cross-functional teams to troubleshoot technical issues and improve semiconductor design and manufacturing processes. The internship provides hands-on experience with semiconductor technology, engineering tools, and simulation software.

Develop and test AI software using large datasets, Python, JavaScript, and C++. Evaluate algorithms, statistics, and data to improve industrial applications. Collaborate with machine learning and data engineers on end-to-end AI and integration solutions, stay current with AI trends and regulations, and present project progress to leadership and stakeholders.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Leads Mobile Service Coordinators during overnight and weekend shifts, managing daily operations, staffing, service levels, escalations, performance metrics, coaching, and employee development. The Supervisor partners with dispatch, fleet services, client success, and field teams to resolve issues, improve processes, and enhance customer satisfaction. Responsibilities also include workforce planning, onboarding, compliance, team communications, and fostering accountability and continuous improvement.

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.