Top Remote Jobs

Engineering interns will gain hands-on experience contributing to real-world projects across Minnesota and North Dakota. Responsibilities include collaborating with experienced professionals, applying academic knowledge, developing practical engineering skills, exploring varied project disciplines, and participating in career development and networking opportunities.

Manages sales growth across the Southwestern United States by developing sales strategies, managing existing accounts, acquiring new business, negotiating contracts, forecasting revenue, and meeting sales targets. The role requires B2B manufacturing sales experience, customer relationship management, market analysis, CRM reporting, trade show participation, and travel throughout the assigned territory. Candidates must be bilingual in English and Spanish and legally authorized to work in the United States without sponsorship.

Design, develop, test, and maintain Java-based enterprise applications and scalable REST APIs/microservices using Spring Boot. Work with relational databases, unit/integration tests, CI/CD, version control, and participate in Agile ceremonies. Support cloud deployments, debugging, code reviews, and collaborate with cross-functional teams.

Promotes and sells future expeditions to guests onboard, conducts presentations and consultations, manages bookings and follow-up, and reports sales results. The role also supports guest check-in, reception, embarkation, base camp operations, safety procedures, and onboard marketing. It requires strong customer engagement, travel knowledge, organization, public speaking, collaboration, and the ability to live and work aboard ships on rotational assignments.

Leads and scales Ascot’s global investment operations infrastructure, including portfolio workflows, reporting, analytics, data management, technology platforms, governance, controls, and process improvement. Partners with investment, finance, treasury, risk, technology, and accounting teams to improve operational accuracy and efficiency. Builds the investment operations function, establishes its operating model, leads platform testing and documentation, and hires and develops the team.

Lead the global linings and pipe coatings product portfolio, including product strategy, roadmaps, positioning, launches, lifecycle management, demand planning, and value propositions. Collaborate with R&D, Sustainability, Supply Chain, Marketing, Commercial, Service, and Finance teams. Identify customer needs, develop competitive coating solutions, manage product optimization and launches, and influence strategic decisions across global markets.

Designs, builds, and scales automation for secure hybrid infrastructure. Responsibilities include CI/CD, infrastructure as code, cloud architecture, configuration management, monitoring, logging, security, network operations, containerization, and self-healing systems. The role maintains mission-critical production environments, develops performance metrics, resolves root causes, and collaborates cross-functionally to improve reliability and operational efficiency.

Drive net-new business and revenue growth by prospecting, managing territories, leading technical discovery conversations, and closing enterprise SaaS/PaaS deals. Own the full sales cycle, quota, forecasting, and pipeline management while engaging technical and executive stakeholders. Collaborate with sales development, sales engineering, professional services, and customer success teams to deliver an effective buyer journey.

Manages purchase order workflows, accounts payable, vendor records, payment processing, cash transactions, bank reconciliations, and close support. The role resolves invoice and payment discrepancies, maintains documentation and controls, supports audits and cash forecasting, and improves procure-to-pay processes. It partners with vendors, budget owners, and Finance & Accounting stakeholders while reporting to the Assistant Controller.

Develop and deploy machine learning models for manufacturing use cases including predictive quality, machine failure prediction, and time-series pattern discovery. Work directly with customers to scope problems, validate solutions in live deployments, and translate successful analyses into product features. Collaborate with engineering, product, and customer success teams while applying statistics, optimization, generative AI, and agentic AI to deliver end-to-end solutions.