Top Remote Jobs

Responsible for managing the project bid process, providing support in sales cycles, resolving issues, and enhancing customer relationships within heavy industries.

Drive enterprise sales growth across financial services institutions by building strategic accounts, identifying conversational AI opportunities, managing complex multi-stakeholder sales cycles, closing large deals, and guiding customers through proof-of-value, security, compliance, and production deployment. Partner with engineers and executives to translate ElevenLabs voice technology into scalable business solutions.

Lead high-priority product initiatives across marketplace growth, onboarding, booking, incentives, analytics, and customer retention. Define strategy, metrics, experiments, and scalable systems while partnering with engineering, design, marketing, operations, data, and business leadership. Own product outcomes across veterinary professional and hospital experiences, communicate progress clearly, and drive measurable business and user impact in a remote-first startup environment.

Own Everbright’s outbound sales motion, initial discovery meetings, prospect follow-up, and mid-pipeline progression for behavioral health practices. Manage the CRM, sales technology stack, pipeline reporting, sales collateral, and signature-to-launch handoffs. Build and prioritize target lists, analyze outbound performance, support account-based marketing, gather market intelligence, and represent the company at conferences. The role is remote-first with 10–20% travel and offers a path toward an independent closing quota.

Build the realtime, HIPAA-compliant messaging and collaboration frontend ('Pulse') that makes an AI colleague feel human. Implement complex interactive data visualizations, micro-interactions, and high-performance accessible interfaces. Work embedded with product and design, own UI quality, iterate on AI-driven specs, and deliver production frontend experiences clinicians will trust.

Owns consumer subscription growth for One Pass Select, including paid media, promotions, acquisition, retention, conversion analytics, and test-and-learn programs. Leads reseller and channel-partner conversion strategies, directs performance creative, and partners with Marketing Operations, Product, Digital, and Customer Experience teams to improve campaigns and digital experiences.

Lead and grow the flight software verification team, ensuring DO-178C-compliant processes and flight software safety, airworthiness, and certification readiness. Responsibilities include directing verification engineers, owning verification efforts, triaging issues, mentoring staff, defining test environments, performing verification analyses, and qualifying verification tools under DO-330. The role also supports process maturity, test automation, reporting, and coordination with certification authorities.

Develops OEM customers and expands sales of industrial automation and sensor products. Leads customer development projects from conception through completion, coordinating with engineering, R&D, quality, and other teams. Negotiates multi-year contracts with global OEMs, manages purchasing relationships, analyzes sales and project data, and forecasts regional business. The role requires strong technical sales, business development, finance, and commercial transaction expertise.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; communicate insights and recommendations; influence leadership decisions; and drive initiatives through execution. The role requires strong analytical problem-solving, SQL or Python proficiency, independent data interpretation, persuasive communication, and ownership of ambiguous business challenges.

Design, develop, and evaluate large-scale multimodal foundation models for biological research. Build hybrid LLM and graph neural network architectures, relational foundation models, and distributed multi-GPU training systems. Apply deep learning theory to biological data, transition research prototypes into scalable production systems, publish peer-reviewed research, and mentor junior staff while collaborating across scientific and engineering teams.