Top Remote Jobs

Administer, govern, optimize, and support CATIA and related engineering systems. Establish CAD standards, configuration practices, workflows, automation tools, and data-quality processes. Provide advanced user support, training, troubleshooting, and cross-functional coordination with engineering, IT, PLM, manufacturing, and certification teams. Lead continuous-improvement initiatives that enhance system performance, engineering productivity, standardization, and adoption across global product-development programs.

Manage territory sales by growing existing accounts, developing new customers, coordinating service and installations, reviewing quotations and store layouts, mentoring reps, and resolving customer issues to meet sales goals.

Design, develop, and support Workday Extend applications, Orchestrate automation, and Studio integrations. Build workflows using APIs, EIBs, and connectors; troubleshoot application, integration, business process, and security issues; support testing, deployments, production incidents, and enhancements; and translate business requirements into Workday solutions.

Leads investor relations and corporate communications strategy for a clinical-stage biotech company. Translates complex scientific and clinical developments into compelling investor, analyst, media, and stakeholder messaging. Responsibilities include managing filings, press releases, conferences, roadshows, corporate content, executive communications, media relations, crisis response, spokesperson preparation, brand campaigns, and regulatory accuracy while collaborating with Finance, Legal, executives, and product teams.

Processes, analyzes, validates, and quality-controls LiDAR, point cloud, aerial imagery, and other geospatial datasets. Produces maps, terrain and surface models, contours, orthomosaics, 3D models, and infrastructure-focused deliverables. Supports GIS data management, utility GIS, spatial analysis, schema development, web maps, field data solutions, and automation using Python and related tools. Collaborates with engineers, surveyors, GIS professionals, and project managers to troubleshoot data issues and improve repeatable geospatial workflows.

Manage full-cycle recruiting for technical and engineering roles: source, screen, interview, present candidates, coordinate interviews and pre-employment checks, extend offers, support onboarding, maintain ATS records, build talent pipelines, track recruiting metrics, and improve hiring processes while partnering with hiring managers.

Analyze semiconductor materials pricing data, identify market trends, validate and standardize information, monitor data quality, investigate discrepancies, document analyses, and support data pipeline and ETL optimization. The role also involves communicating findings, improving data hygiene, and collaborating cross-functionally while learning new analytical tools and best practices.

The available description provides limited role-specific information. The Reinsurance Accountant position is associated with accounting responsibilities within reinsurance operations. The company emphasizes customer service, meritocracy, self-direction, and comprehensive teammate benefits, including health, financial, wellness, paid time off, and discount programs.

Drive enterprise IT services sales by developing territory and account plans, managing complex sales cycles, advising C-suite stakeholders, coordinating technical and delivery teams, cultivating technology alliances, exceeding revenue targets, forecasting pipelines, and leading strategic business reviews. The role focuses on multi-million-dollar enterprise engagements, digital transformation solutions, complex contract negotiations, and long-term client relationship growth.

Leads the company’s adoption of AI, analytics, automation, and business intelligence. Builds AI-powered workflows, Excel solutions, natural-language data interfaces, dashboards, forecasts, predictive analytics, and automated reporting using Snowflake, SQL, Tableau, and related tools. Partners across business functions to identify opportunities, improve data quality, automate repetitive processes, and deliver scalable decision-support solutions. Establishes responsible AI practices and advances an AI-first analytics culture.