Top Tech Jobs & Startup Jobs

Sources and recruits technical sales talent for AI solutioning, consulting, and engineering teams across the United States and Canada. Partners with hiring managers and business leaders, manages recruiting activity for an assigned business area, screens and tracks applicants, conducts interviews, develops passive candidate pipelines, researches innovative sourcing methods, and maintains candidate and business networks.

Supports quoting and order management for assigned accounts, including processing requests, tracking orders, preparing reports, validating technical configurations, and coordinating with customers, sales teams, and technology partners. Maintains account and product knowledge, leverages promotions and rebates, identifies upsell opportunities, and assists with onboarding new sales operations employees.

Drives sales and delivery of ATC software, lab, and technology services. Leads customer and partner engagement from demand generation and pre-sales presentations through proposals, SOWs, service delivery, and post-sale support. Develops sales enablement content, manages customer relationships, creates revenue-generating service programs, reports forecasting metrics, and collaborates with product and development teams on roadmaps and sales strategy.

Leads a small, hands-on team investigating emerging AI capabilities for executive stakeholders. Converts ambiguous questions into time-boxed experiments, builds prototypes, designs evaluations, analyzes cost, latency, reliability, and failure modes, and delivers defensible recommendations. The manager hires and coaches senior engineers, presents findings to executives, stops low-value bets, and packages validated work for handoff to operational teams without owning production support.

Build, test, and deliver scalable full-stack web solutions using JavaScript, NodeJS, and Vue.js. Own features from development through production, troubleshoot issues, mentor developers, lead small projects, and collaborate with stakeholders. The role also involves improving performance, accessibility, SEO, search, personalization, CI/CD, testing, monitoring, and AI/LLM-powered site capabilities for WWT.com.

Leads full-stack software design, development, architecture, testing, and deployment for custom applications and enterprise integrations supporting order management and procurement. Provides technical direction, mentors developers, enforces coding standards, manages risks, and drives engineering process improvements. Partners with architecture, delivery leadership, and business stakeholders to translate needs into scalable solutions. Uses AI-assisted development tools responsibly to improve productivity, quality, testing, and documentation while contributing hands-on to complex front-end and back-end work.

Lead and grow a Time & Attendance IT team, oversee design/configuration/support of UKG and related workforce management systems, ensure integrations with payroll/HRIS/ERP, maintain compliance with labor laws, drive process improvements, and partner with stakeholders to deliver accurate, auditable timekeeping solutions.

Customer-facing technical architect role designing, sizing, and delivering high-performance AI storage and data platform solutions. Lead partner solution development, pre-sales engagements, reference architectures, enablement, and field support for enterprise and hyperscale AI workloads. Work spans parallel file systems, object/NAS storage, NVMe-oF and GPU-Direct Storage, data pipelines, lakehouse architectures, and NVIDIA AI Platform integrations.

Operate and support internal platform tooling: manage Kubernetes/OpenShift, GitHub Enterprise, Artifactory, ArgoCD/GitOps, and CI/CD pipelines (GitHub Actions, Codefresh). Administer databases in Kubernetes, use IaC (Helm, Ansible, Terraform), troubleshoot incidents, maintain documentation, collaborate with teams, join on-call rotations, and leverage AI-assisted tools to improve automation and operations.

Design, customize, and support SharePoint-based ECM solutions; gather requirements and test enhancements; provide training and technical guidance; drive adoption and roadmap planning; identify automation opportunities and ensure consistent internal UI and knowledge sharing across the enterprise.