Top Remote Jobs in Cleveland, OH

The RVP will lead the Americas Sales Development organization, driving strategy, operational excellence, and talent development for strategic sales processes.

Lead a technology recruiting team at MongoDB, driving business-critical hiring and implementing strategic, data-driven recruiting practices. Collaborate with senior leaders, optimize processes, and use analytics to inform hiring strategies.

The Inside Account Executive drives sales strategy within strategic accounts, focusing on closing new workloads and expanding MongoDB's presence.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

The Global Enterprise Account Manager is responsible for managing key relationships with enterprise customers, driving account growth, and coordinating internal teams to ensure customer success. The role involves strategic selling, managing complex sales cycles, and engaging with senior-level stakeholders.

The Enterprise Account Manager will drive software bookings, manage complex sales processes, and expand business within existing enterprise accounts by building relationships and identifying growth opportunities.

The Mid-Market Account Manager will drive software sales growth within existing customer accounts by identifying upselling opportunities, managing client relationships, and leveraging consultative sales skills to achieve quotas and meet customer needs.

The Principal Security Operations Analyst will triage, investigate, and respond to cyber threats, mentor junior analysts, and enhance security efforts through advanced analysis and automation.

The role involves leading technical integration for Microsoft security, collaborating with alliances, and driving joint customer success by optimizing integrations and provide training for sales and engineering teams.

The Director, Payer Strategy will lead Babylist Health's payer strategy, managing relationships and offering strategic guidance for growth in both Medicaid and commercial channels.

As a Senior GenAI Solutions Architect, you will lead the design and implementation of generative AI applications on AWS, collaborating with clients to understand their needs and guiding project execution with a team of engineers.

This role involves full-cycle sales management in the healthcare sector, focusing on new business growth, client relationship development, and achieving sales targets through strategic selling and negotiation.

The Director of Embedded Systems Engineering will lead the firmware organization, oversee technical roadmaps, process architecture, and integrate AI tools while managing JDM partnerships and ensuring operational excellence.

The Principal Developer Productivity Engineer will enhance GM's developer tools, mentor engineers, and drive system performance through observability and software engineering best practices.

Design, build, deploy, and maintain resilient, scalable backend and enterprise features across Toast’s platform. Lead complex projects, ensure quality with automated tests, roll out and monitor features, collaborate with UX/PM and cross-functional teams, and mentor other engineers.

Manage and develop the Business Development team at Toast, focusing on hiring, coaching, achieving quotas, and driving revenue. Collaborate with cross-functional teams to ensure alignment and success in new retail verticals.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.