Top Tech Jobs & Startup Jobs

The AI Enablement Engineer will integrate AI tools into engineering workflows, enhance productivity, and ensure compliance with data security standards while supporting engineers' adoption of AI solutions.

Lead EHS programs for a lithium-ion battery manufacturing facility: ensure OSHA/EPA compliance, manage permitting and hazardous materials, conduct audits and incident investigations, drive safety metrics and continuous improvement, deliver training, maintain reporting and emergency response readiness, and act as regulatory liaison to integrate safety across operations.

Develop and own performance-driven creative strategy for eCommerce brands: analyze campaign data, build testing roadmaps, create hooks/scripts/messaging, brief visual creators, review assets, provide performance-focused feedback, and collaborate with media buyers and clients to iterate and drive commercial results.

The Manager of Customer Success leads a team of CSMs, manages a book of business, and drives customer onboarding, retention, and expansion efforts.

The Sales Development Representative will engage Enterprise prospects, utilize software tools to generate leads, collaborate with the sales team, and contribute to sales growth.

As a Senior Full-Stack Engineer, you will design and deploy solutions for state governments, ensuring high standards of security and privacy while leading cross-functional teams.

Coordinate recruitment, onboarding, training, and payroll/timecard management for Continuing Education Teaching Assistants and Pre-College Monitors. Serve as backup for instructor hiring, process expense reimbursements and invoices, liaise with HR, Student Employment, Procurement, and Finance, and support hiring process improvements and special projects.

Manage assigned Midwest territory via distributors: execute annual sales plans, grow and maintain accounts, train distributors/customers, pursue leads, influence specifications, maximize margins, and report market and product feedback to internal teams.

The Data Modeler will design and develop data models, utilize data modeling tools, and ensure data quality in Property and Casualty industry products.

The role focuses on managing the post-sale lifecycle for enterprise accounts, ensuring customer success, providing support, and fostering product improvements in the aerospace industry.