Top Remote Jobs

Build reliable Rust libraries and services for decentralized, offline-first data synchronization. Design CRDT-based systems using content addressing, deduplication, and Merkle trees; improve observability through metrics, logs, and traces; diagnose customer issues; and translate findings into product improvements. The role requires strong asynchronous communication, design documentation, and collaboration in a distributed team.

Lead the AFCAP VI Program Management Office for a global Air Force contingency support contract. Manage task order capture, rapid deployments, construction, services, commodities, subcontractors, budgets, quality, security, reporting, and government property across dispersed CONUS and OCONUS locations. Serve as the senior contract leader, 24/7 on-call authority, and primary government interface while ensuring deployment readiness and compliance with contract, safety, security, and cost-reporting requirements.

Build and maintain client relationships in the trucking industry, develop sales strategies, research markets, present transportation solutions, negotiate contracts and pricing, collaborate with internal teams, and track sales activity and pipeline progress in CRM software.

Leads Levi Strauss & Co.’s enterprise data governance capability, establishing federated ownership, decision rights, stewardship, certified metrics, metadata, lineage, quality standards, and governance controls. Partners with engineering, legal, privacy, security, and business leaders to embed automated controls into cloud data and AI workflows, support regulatory readiness, and measure trust, risk, adoption, and data product health. The role also leads governance councils, executive reporting, tooling strategy, and organizational change.

Recruiter responsible for managing full-cycle hiring, primarily for digital marketing roles including SEO, paid media, programmatic, content, and marketing operations. Duties include sourcing, interviewing, pipeline development, hiring manager partnership, candidate experience, inclusive recruiting, market research, and meeting hiring metrics across multiple international markets.

Leads controls and automation projects from proposal through delivery, overseeing designs, programming, schedules, resources, contracts, quality, reporting, and customer satisfaction. Develops client relationships and regional business, mentors technical staff, supports recruiting and strategic planning, and coordinates with finance and company partners. Requires extensive automation project experience, electrical control system design, PLC programming, Rockwell expertise, and travel for installations, meetings, and training.

Own the full enterprise sales cycle, from prospecting and pipeline generation through executive engagement, negotiation, close, and expansion. Build strategic relationships with C-level decision-makers, manage revenue targets and forecasts, develop account plans, and collaborate with Product, Marketing, Customer Success, and technical teams. The role requires selling complex SaaS, cloud, infrastructure, or enterprise software solutions to large organizations.

Manage full-cycle recruiting for go-to-market and business roles, especially Sales and Customer Success in B2B SaaS. Responsibilities include sourcing candidates, developing recruitment strategies, advising hiring managers, strengthening employer branding, optimizing hiring processes with analytics and AI tools, negotiating compensation, improving candidate experience, and supporting diversity and inclusion initiatives.

Manage client relationships, guide customers in using financial tools and software, resolve helpdesk inquiries, monitor SLAs, and identify opportunities for account growth. Collaborate with internal teams on client experience improvements, sales collateral, CRM records, and reporting. The role requires strong communication, analytical problem-solving, public sector finance familiarity, and proficiency with CRM, project management, financial, and Microsoft Office software.

Leads client-facing data science projects from design through deployment, applying statistical analysis, machine learning, predictive modeling, deep learning, and NLP. Partners with stakeholders to translate business challenges into analytics strategies, oversees data integration and quality, monitors model performance, presents executive recommendations, mentors data scientists, and advances data governance and best practices.