Top Tech Jobs & Startup Jobs in Baltimore, MD

Serve as a technical trusted advisor for enterprise accounts, partnering with sales to qualify opportunities, run discovery and security assessments, design secure architectures (network, cloud, SecOps), deliver demos to technical and executive stakeholders, and support post-sale transitions to ensure long-term value realization.

Develops HVAC system solutions for building-owner customers, combining technical, financial, and performance considerations. Builds customer relationships, identifies opportunities, coordinates acquisition teams, converts leads, and executes account-specific business plans. Provides technical guidance on HVAC systems and Trane products while growing account relationships and achieving sales targets. Requires customer job-site travel, including exposure to outdoor conditions and mechanical equipment rooms.

Designs, develops, maintains, and evaluates web-based and instructor-led security training for a federal client. Responsibilities include applying ADDIE, conducting training needs analyses, creating course designs and storyboards, developing assessments, maintaining curricula, supporting beta testing, ensuring quality, and aligning learning products with organizational goals and Department of Defense standards. The role also requires client partnership and leadership of instructional development projects.

Manages, trains, and develops an outside sales team serving the Baltimore territory. Responsibilities include generating new business, managing customer relationships, overseeing the sales process, conducting product demonstrations, preparing proposals, maintaining CRM records, forecasting sales, monitoring competitors, resolving customer concerns, and supporting collections. The role requires strong equipment sales experience, account management, negotiation, communication, organization, and team leadership skills.

Build and maintain scalable, mission-critical e-commerce web systems for clients. Develop primarily Scala-based services using Play and Spring, work with PostgreSQL and distributed messaging systems, and operate applications in Google Cloud Platform. Collaborate remotely through GitHub and Slack, contribute to security and scalability improvements, and support teammates through knowledge sharing. Front-end familiarity with React, Redux, jQuery, HTML, CSS, JSON, and REST is expected.

Manages the organization’s private grants portfolio by researching prospects, developing and submitting proposals, tracking awards and deadlines, coordinating grant reports, maintaining NetSuite records, and communicating with funders. The role also supports stewardship, relationship-building, grant-related administration, scheduling, file maintenance, and cross-departmental coordination. Travel between multiple sites is required.

Conduct in-home bathroom remodeling consultations and sales presentations using pre-set leads and appointments. Recommend remodeling, tub and shower updates, and accessibility solutions, then close sales. The role includes paid training, base salary plus commission or a full-commission option, with no cold calling or door knocking. Candidates should be tech savvy, reliable, coachable, and effective communicators; no prior experience is required.

Lead or support engineering project design and delivery, review QA/QC, coordinate teams, manage client communication, supervise field work, prepare proposals, change orders, and sign/seal engineering documents as authorized representative. Act as technical expert or project manager on small-to-medium projects and identify/resolve technical, schedule, or financial issues.

Process and post billing for new and used car deals, receipt transactions, manage paperwork and VIN verification, handle trade payoffs, generate commission reports, and manage payables/receivables while resolving customer billing inquiries.

Lead development and deployment of machine learning, statistical, and graph-based algorithms on large datasets for Intelligence Community clients. Prototype and evaluate models, design experiments, generate visualizations and reports, translate results into actionable recommendations, automate analytics into production, assess client readiness, and mentor/lead a team of data scientists while staying current with emerging ML techniques.