Top Tech Jobs & Startup Jobs in Baltimore, MD

The Sales Director is responsible for prospecting, closing sales, developing relationships, and driving revenue through GumGum's digital advertising platform, targeting agencies and brands.

As a Senior Forward Deployed Engineer, you'll embed with enterprise accounts to architect and implement workflows using Webflow's capabilities, ensuring production readiness and documenting architecture for future deployments. You'll collaborate with product and sales teams to enhance user experience and optimize web operations.

As a Senior AI/Data Engineer, you will design and maintain scalable data and AI infrastructures, partnering with cross-functional teams to deliver reliable data systems and support AI-driven business capabilities.

The Technical Engagement Manager drives customer outcomes through technical leadership in pre-sales and post-sales engagements, managing delivery teams and ensuring customer satisfaction.

The Data Security Engineer will develop and implement data protection strategies, ensuring compliance with regulations like GDPR and HIPAA while securing sensitive data and collaborating with various teams.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

As a Site Reliability Engineer II, you will build, test, and maintain the technology infrastructure for Openly's insurance platform, focusing on automation, monitoring, incident response, and operational decisions.

Guide aspiring insurance agents through state licensing by managing a large pipeline, communicating requirements, maintaining MS Access records, making inbound/outbound calls, and updating supervisors and agency partners on progress and changes.

Lead end-to-end product strategy and execution for Fusion's enterprise SaaS GRC/TPRM offerings. Drive AI-native roadmap, collaborate with engineering and GTM teams, engage key customers, define KPIs, and deliver measurable adoption, retention, and revenue outcomes.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.