Top Remote Jobs

Support and enhance Enterprise GIS within the ESRI ecosystem: design, develop, test, document, and release low/no-code applications; gather requirements; manage multiple application projects; integrate systems and troubleshoot production issues; coordinate data conversions and compatibility; evaluate software packages; and create and maintain metadata.

Offering training and placement in SQL with Azure and other technologies. Candidates receive full-time mentorship and guaranteed placement.

Design, implement, and maintain distributed consensus mechanisms and systems, ensuring scalability and fault tolerance while analyzing performance and debugging issues.

The Staff Surveyor oversees boundary resolution and data quality in land surveying projects, ensuring legal compliance and accuracy, while coordinating field efforts and mentoring junior staff.

Lead and grow a portfolio of enterprise accounts ($5-10M), build executive advisory relationships, drive revenue and account profitability, define scope and proposals, oversee onboarding and client satisfaction, enable cross-selling with internal teams, and remain partially billable for strategy or delivery work.

Own payments and checkout end-to-end: set roadmap, ship checkout and subscription features, run A/B tests, manage payment vendors/processors, monitor rebill/auth/chargeback health, resolve billing escalations, and build Looker/BigQuery dashboards to track performance and impact.

The Project Coordinator organizes and oversees projects, engages with clients and partners, and reports on project progress and metrics.

Sell Indeavor's workforce management platform into federal, state, and local government accounts. Build pipeline, lead consultative sales, navigate public procurement (RFPs, cooperative purchasing), craft ROI/value cases, negotiate contracts, manage forecasts in CRM, collaborate with product/implementation teams, and attend events to drive quota attainment and account growth.

The UX Researcher will conduct research to improve user experiences in high-stakes environments, advocating for user insights across product teams and influencing design decisions through various research methods.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.