Top Remote Jobs

Drive mid-market SaaS revenue by prospecting, managing the full sales cycle, conducting product demos, negotiating contracts, closing net-new business, and maintaining CRM records. The role requires building pipelines, researching prospects, nurturing executive relationships, and leveraging internal resources to meet sales targets.

Own the design vision and execution for experimental AI-powered learning tools co-created with teachers and researchers. Design teacher- and student-facing products, create flows, wireframes, interaction designs, and functional prototypes, and facilitate collaboration across educators, researchers, engineers, and data scientists. Conduct usability testing and validate research hypotheses while navigating ambiguity, data-heavy workflows, and uncertain AI/ML-enabled features.

Leads Phantom’s global affiliate growth program from inception, recruiting and managing influencers, KOLs, publishers, and content partners. Develops partnership strategies, drives funded wallets and trader acquisition, analyzes performance metrics, optimizes campaigns, collaborates on promotional content, manages affiliate tracking technology, and owns program improvements. Requires crypto-focused affiliate marketing expertise, cross-functional collaboration, and strong communication skills.

Coordinates recruiting and People Operations activities, including interview scheduling, candidate communications, job postings, reference and background checks, onboarding, leave administration, HRIS and platform updates, inbox management, and responses to payroll, tax, unemployment, and agency requests. Maintains accurate confidential records, supports compliance processes, and assists with ad hoc HR projects.

Directs complex pharmaceutical support programs across one or more sites, managing budgets, operations, metrics, client relationships, deliverables, staffing, and supervisory teams. Resolves complex issues, supports strategic and business planning, oversees contract execution, presents program updates, develops recommendations, mentors managers, and cultivates professional relationships. The role supervises 2–10 direct and 20+ indirect reports and requires 30–40% travel for meetings and conferences.

Deploy, commission, troubleshoot, and maintain robotic systems in remote field environments. Diagnose mechanical, electrical, software, and controls failures; conduct root-cause analysis; document procedures; maintain tooling and spares; and partner with design and manufacturing engineering to improve future systems. The role is based in San Francisco with multi-week deployments to West Texas.

Drives sales of analytical instruments, software, consumables, and services across the Southeast Region. Develops territory plans, meets sales targets, maintains customer satisfaction, generates new business, visits laboratories, provides technical guidance, forecasts sales, and collaborates with specialists and marketing teams. Requires strong knowledge of chromatography and mass spectrometry, customer relationship skills, and willingness to travel overnight and internationally as needed.

Own product marketing for Cyara’s agentic AI assurance portfolio, including positioning, messaging, launches, buyer research, competitive intelligence, sales enablement, technical content, and analyst relations. Partner cross-functionally with Product, Sales, Demand Generation, and Customer Success to drive enterprise pipeline and bookings. The role begins as an individual contributor and may grow into team leadership.

Build and maintain AI-driven workflows, agentic systems, automated operations tooling, cloud infrastructure, and CI/CD pipelines. Handle monitoring, incident triage, backend production issues, and field-operations support. Contribute across the full stack, communicate technical decisions to non-engineering stakeholders, and improve manual processes through automation. Required capabilities include cloud infrastructure, LLM and MCP development, Linux, CI/CD, full-stack engineering, and strong communication.

Build and operate scalable data pipelines, evaluation frameworks, and production AI/ML/NLP models. Own the full lifecycle from data collection and transformation through training, deployment, monitoring, and continuous improvement. Develop robust tooling, observability, and quality checks while collaborating with product and engineering to integrate AI capabilities into user-facing features. Work pragmatically in a fast-moving startup environment and translate business needs into effective data and machine learning solutions.