Top Tech Jobs & Startup Jobs

The Payroll Assistant processes payroll, manages payroll systems, handles inquiries, prepares reports, and collaborates with HR on employee data maintenance.

Own the full lifecycle of production classification and detection models, including transformer fine-tuning, entity detection, behavioral risk scoring, training, serving, versioning, evaluation, drift detection, and retraining. Build SageMaker-based ML systems and define output contracts supporting audit and policy enforcement. Lead the evaluation harness and mentor a co-op while operating as the company’s sole ML engineer.

Supports aerospace manufacturing engineers with Lean manufacturing, plant layout, process mapping, tooling and fixture design, process documentation, equipment installation, process improvements, and operator training. The intern works hands-on across the office and shop floor to identify bottlenecks, improve product flow, maintain aerospace-compliant processes, and support safe, efficient production.

Supports and enhances enterprise business applications used across airport construction, capital planning, finance, project controls, and operations. Responsibilities include configuring PMWeb and Oracle JDE E1, automating workflows, developing integrations, troubleshooting complex issues, gathering requirements, testing solutions, and creating technology strategies and roadmaps. The role partners with business users, technology teams, and vendors to deliver practical application solutions. Senior-level work includes greater autonomy, technical leadership, and ownership of complex initiatives.

Work directly with the CEO as a Chief of Staff MBA intern: build operations and meeting cadences, manage projects and dashboards, plan events, conduct market and competitive research, drive cross-functional strategic initiatives, and influence product design and roadmap decisions. In-office five days a week with long hours; hands-on startup experience expected.

Manage and grow an established portfolio of Managed Print Services customers. Responsibilities include account retention, renewals, upgrades, cross-selling, new business acquisition, territory and pipeline management, consultative solution selling, negotiations, and closing. The role partners with IT, Procurement, Operations, pre-sales, technical, and service teams to optimize customers’ print environments, reduce costs, and improve productivity while achieving revenue targets.

Build and own large-scale backend and full-stack systems supporting AI agents, data integrations, sync engines, and construction financial products. Design major subsystems, make architecture and build-versus-buy decisions, debug complex production issues, improve scalability and performance, and mentor engineers. Work across cloud infrastructure, distributed systems, legacy on-premise integrations, caching, data consistency, and AI-powered workflows while collaborating directly with founders and customers.

Perform outbound prospecting (email, calls, social) to generate qualified healthcare leads, research targets, craft personalized messaging, qualify prospects, maintain CRM records, book meetings, and collaborate with the founder to optimize outreach and meet weekly/monthly performance goals.

Build Kastle’s growth engine by mapping target accounts, developing outbound campaigns, creating automated growth tools, owning product messaging, managing events, and testing creative ways to reach senior buyers. The role combines writing, campaign execution, data analysis, AI-enabled automation, lead tracking, sales enablement, and continuous experimentation to generate qualified sales opportunities across financial-services markets.

Own post-sales GTM and revenue operations, including onboarding, implementation, handoffs, activation, usage, retention, expansion, and customer health. Analyze customer and FDAE performance data, identify risks and opportunities, build repeatable playbooks, improve operational processes, and deliver leadership reporting and recommendations. Partner with launch, post-sales, CX, and data teams in a fast-paced startup environment.