Top Remote Entry Level Jobs

Manage strategic hospital and medical institution accounts for an ultrasound imaging portfolio across Lower Silesian and Opolskie Voivodeships. Develop account plans, drive sales and profitability, coordinate complex sales and marketing initiatives, identify market opportunities, acquire customers, negotiate with stakeholders, and improve customer value. The role requires Salesforce experience, knowledge of financing models, fluent Polish and English, and travel up to 70%.

Administer and extend CRM, contact center, and AI-agent platforms supporting Customer Operations. Configure workflows, routing, permissions, prompts, knowledge sources, integrations, and automations. Troubleshoot data-flow issues, monitor AI performance, document system configurations, maintain runbooks, train users, evaluate tools, and translate business requirements into reliable system configurations.

Independent sales representative responsible for bringing Humanscale Living’s premium ergonomic home-office products to luxury design trade and retail clients. The role requires leveraging established industry relationships, presenting and positioning high-end products, driving sales growth, managing territories and accounts, negotiating with decision-makers, and supporting client engagement through digital tools. This is an independent contractor opportunity compensated solely through commissions.

Leads business development for USMC customers by identifying prospects, managing strategic accounts, developing sales strategies, creating proposals, negotiating deals, and closing business. Builds customer relationships, collaborates with sales and engineering on product opportunities, presents to stakeholders, and represents the company at trade shows. Requires Marine Corps communications or IT experience, RF and network knowledge, significant travel, proximity to Camp Lejeune or Camp Pendleton, and security clearance eligibility.

Build and operate CrewAI’s cloud and enterprise infrastructure across AWS, Azure, and GCP. Develop CI/CD pipelines, deployment automation, observability, security controls, self-hosted installation tooling, and reliability processes. Support containers, Kubernetes, databases, queues, networking, secrets, and production workloads. Participate in incident response and on-call operations while partnering with runtime and product engineering teams to improve deployment safety, scalability, and customer production environments.

Periodic Labs invites exceptional candidates to submit a general application for future opportunities at its AI and physical sciences laboratory. The team develops advanced models aimed at enabling novel scientific discoveries and values ownership, independent problem-solving, continuous learning, and interdisciplinary exploration.

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.

Identifies, qualifies, and develops new business opportunities across key and enterprise accounts. Serves as the first contact for inbound leads, manages intent and ABM signals, conducts account and market research, supports Account Executives, builds target lists, assists with events, and maintains accurate Salesforce data. The role collaborates with Sales, Marketing, Product, and Customer Success and provides a foundation for enterprise sales or account management.

Own presales discovery, solution architecture, technical demos, prototypes, proof-of-concept definition, technical evaluations, RFP responses, and security questionnaires for enterprise AI customers. Translate customer workflows and technical requirements into validated architectures and measurable business value, manage implementation risks, and provide accurate delivery handoffs. Convert field insights into reusable reference architectures, demos, and product improvements.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.