Top Remote Jobs

Conduct industry research, identify investment targets, build valuation models, structure transactions, perform due diligence, prepare investment analyses, manage post-investment performance, develop improvement and exit strategies, and collaborate across departments to integrate investments with JD Group strategy.

Provide remote administrative support to executive search consultants: source and screen candidates, schedule interviews, maintain candidate databases, communicate with candidates/clients, perform preliminary assessments, post job ads, and manage recruitment-related documents and reports.

Lead Cyberhaven’s integration ecosystem strategy and roadmap, including connectors, APIs, data sharing, and marketplace partnerships. Evaluate build-versus-partner decisions, guide technical discovery with partner engineering teams, and program-manage integrations from scoping through launch, certification, documentation, enablement, and adoption. Define measurable customer and business outcomes, coordinate sales, customer experience, and marketing readiness, and ensure integrations deliver revenue growth, broader coverage, and faster customer value.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

Leads global incentive compensation operations, including plan implementation, system configuration, user acceptance testing, participant setup, commission calculations, audits, payouts, SOX compliance, dispute resolution, seller support, reporting, and process automation. The role manages global managers and analysts, defines technology and operational strategy, oversees ticketing and help desk processes, and partners with Sales, Finance, Operations, Legal, HR, and Business Technology to improve compensation accuracy and effectiveness.

Leads global sales compensation strategy, designing annual and in-year incentive plans, quota frameworks, pay curves, accelerators, and performance levers. Manages incentive designers and partners with Sales, Finance, Revenue Operations, data, and activation teams. Oversees analytics, dashboards, governance, payout accuracy, AI-enabled communications, change management, and continuous optimization while advising senior executives.

Build and operate large-scale data pipelines that source, process, and improve audio datasets for AI model training. The role focuses on data quality, throughput, cost optimization, production systems, and collaboration with AI scientists. Responsibilities include discovering audio sources, implementing scalable processing systems, owning engineering projects, and continuously improving training-data infrastructure.

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, optimizing processing systems for quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through continuous improvement. Requires strong backend software engineering, Python and Bash proficiency, production systems experience, and independent problem-solving.

Build scalable, cost-efficient data pipelines and processing systems for AI model training. Responsibilities include discovering audio data sources, creating reliable ingestion pipelines, optimizing data quality and throughput, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering skills, production systems experience, Python and Bash proficiency, and independent problem-solving.

The Senior Sales Consultant will identify and engage enterprise-level prospects in the US, manage the sales cycle, and achieve revenue targets through effective negotiation and relationship building.

Own the end-to-end computer vision platform for fine-grained item identification and pricing. Responsibilities include designing and fine-tuning vision models, defining evaluation and confidence standards, building labeling feedback loops, prioritizing coverage versus accuracy, and deploying reliable, low-latency serving infrastructure at scale. The role also communicates model capabilities and trade-offs to technical and non-technical stakeholders.

Build and deploy production LLM-powered features and agents, including retrieval and RAG systems, evaluation frameworks, monitoring, and customer-facing AI capabilities. Collaborate with product and data teams to identify valuable AI applications, define success metrics, and improve quality, cost, and latency. The role requires production software engineering experience with Python or Node.js/TypeScript, cloud AI services, agentic development workflows, and strong English communication. Remote work is available for candidates based in Latin America.

Designs and maintains production data ingestion pipelines, layered analytics-ready data models, and reliable automated data foundations. The role integrates client data from APIs, files, Databricks, and shared-data sources; implements testing, monitoring, schema-change handling, and safe reprocessing; and supports application, analytics, and future AI use cases. It also requires collaboration with product teams, strong communication, cloud data warehouse experience, and AI-native development practices.

Build backend services, APIs, integrations, relational data models, and TypeScript frontend features. Partner with product teams to define technical criteria, model evolving business domains, and deliver end-to-end functionality. Help scale AI-native engineering through shared agentic AI workflows, development tooling, and CI/CD integration. The role requires production experience with Ruby, Node.js/TypeScript, or Python; cloud platforms such as AWS; API design; strong data fundamentals; and fluent English communication.

Research and analyze rendering algorithms, translate graphics concepts into computationally efficient models, conduct competitive and performance benchmarking, and collaborate with hardware architects to define proof-of-concept features and system requirements. The role focuses on graphics processors, hardware-based ray tracing, performance modeling, and communicating technical findings to leadership.