Top Remote Tech Jobs

PhD-level AI Engineering intern to apply machine learning to large-scale intraday and tick financial data. Responsibilities include alpha generation, portfolio optimization, risk modeling, data preprocessing, and collaboration with researchers to deploy robust ML models for trading.

Develop and deploy AI and deep learning models for antibody drug design, including test-time compute strategies, multi-objective optimization, target-specific design, and protein structure prediction. Analyze in silico and in vitro validation results, improve design methodologies, publish high-impact research, collaborate across computational and experimental teams, and communicate findings to interdisciplinary audiences.

Drive new business for an AI-driven financial data platform across an assigned territory. Manage opportunities through the full sales cycle, develop territory strategies, meet revenue targets, negotiate and close mid-market deals, and maintain account updates. Partner cross-functionally with Marketing, Product, Solutions Architects, SDRs, and Customer Success while providing customer feedback and supporting satisfaction. Travel for client visits, conferences, and networking events.

Serve as the technical leader throughout the customer lifecycle, including technical discovery, product demonstrations, evaluations, deployments, training, troubleshooting, adoption, renewals, and expansion support. Partner with Sales, Customer Success, Operations, Product, and Engineering to help customers implement robotic systems in construction environments, communicate business value, gather field feedback, and improve customer outcomes. This in-office San Francisco role requires approximately 30–35% travel to customer project sites.

Quota-carrying Mid-Market Account Executive selling DIDOS invoice-matching SaaS to UK & Ireland retailers. Own full sales cycle from prospecting and demos to negotiation and close, build C-suite and functional relationships, expand accounts with ERP integrations and analytics, manage pipeline, and collaborate with product and engineering.

Manage assigned B2B trade accounts, meet sales targets, convert leads, and expand territory revenue through outreach, upselling, and pipeline management. Provide responsive product guidance and order support to interior designers, retailers, and commercial buyers. Execute showroom sales, attend up to five annual trade shows, process orders, and prepare performance reports covering leads, conversions, campaigns, and sales funnel results. Improve workflows while maintaining strong product knowledge, ethics, and client service standards.

Own the full enterprise sales cycle, including prospecting, discovery, demos, stakeholder coordination, negotiation, closing, and expansion. Generate approximately 40% of pipeline through outbound efforts while managing inbound opportunities. Sell $125K–$1M ACV solutions to large enterprises, engage executive stakeholders, manage 4–12 month sales cycles, and improve the sales playbook. Research buyers using Claude and collaborate with internal leadership to win complex deals.

Manage high-volume employment-based immigration cases from intake through filing, coordinating customers, employers, attorneys, and paralegals. Responsibilities include document collection, case preparation, timeline management, stakeholder communication, record maintenance, issue escalation, and supporting attorney-led strategy. The role also involves identifying travel and status concerns, improving processes, and using AI and technology to enhance legal service efficiency and customer outcomes.

Achieve territory sales quotas, acquire and develop customers, prospect opportunities, conduct manufacturing-site visits, demonstrate machine vision products, solve technical applications, maintain CRM records, gather competitive intelligence, support trade shows, and generate leads for other sales teams. The role requires technical sales experience, customer travel using personal transportation, strong communication skills, and the ability to learn automation technologies.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.