Top Remote Tech Jobs

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.

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.

Own significant product areas from customer problem discovery through solution definition, prototyping, shipping, measurement, and iteration. Build AI-powered prototypes and production products using tools such as Claude and Cursor, engage directly with customers and commercial stakeholders, lead small squads, influence product direction, and contribute to an AI-native product engineering culture.

Visits OEMs, dealers, and warranty locations to investigate rejected and defective automotive glass parts, collect quality data, prepare reports, coordinate containment activities, support trial builds, and assist with root-cause investigations. The role represents the company in customer meetings, communicates findings to internal quality and engineering teams, and helps maintain customer satisfaction.

Leads end-to-end customer engagements integrating software with government data systems. Designs and builds custom workflows, translates ambiguous requirements into technical plans, debugs production issues in constrained environments, documents decisions, reviews code, mentors engineers, and makes delivery trade-offs. Requires customer-facing software engineering experience, data integration expertise, and willingness to travel to U.S. military installations.

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.

Analyze portfolio and security-level performance, risk, attribution, and return drivers. Conduct market and investment research, validate financial metrics, and communicate actionable insights to institutional clients. Collaborate with product, engineering, and data science teams to build portfolio intelligence tools and analytics components for hedge funds and asset managers.