Top Remote Jobs in Cleveland, OH

Leads HubSpot’s Partner Strategy and Programs function, overseeing partner tiering, benefits, incentives, requirements, and sales initiatives. Manages senior program leaders, develops strategic proposals and business requirements, aligns cross-functional GTM teams, and builds roadmaps tied to revenue and efficiency goals. Uses KPIs, analytics, automation, and AI tools to improve partner performance and program impact while supporting an AI-first partner ecosystem.

Supports technical sales through product demonstrations, lead generation, customer outreach, solution design, technical guidance, and cross-functional collaboration. The role focuses on learning SaaS, data integration, and cloud solutions while helping understand customer requirements, communicate technical concepts, gather feedback, and improve customer engagement and adoption.

Provide administrative support for grant applications from intake through submission. Maintain grant calendars and deadlines, extract portal requirements, format templates, prepare and attach supporting documents, enter approved narratives, and conduct detailed accuracy, completeness, proofreading, and formatting checks. Escalate missing information or technical issues, submit approved applications, capture confirmation receipts, and update statuses in AgentPro.

Support Account Executives with customer engagements involving unmanned aerial systems. Translate mission requirements into UAS solutions, lead technical demonstrations, develop RFI/RFP responses, manage field deployment activities, ensure FAA compliance, evaluate emerging technologies, and mentor junior engineers. The role serves defense, law enforcement, military, and commercial customers and requires extensive domestic and international travel.

Leads Chomps' talent acquisition strategy and team, overseeing workforce planning, sourcing, executive and niche searches, recruiting systems, metrics, employer branding, compensation benchmarking, vendor relationships, compliance, and candidate experience. Partners with senior leadership to scale hiring operations, improve recruiting efficiency, develop the TA team, and provide hiring insights during company growth.

Lead Replicant’s product design practice while remaining approximately 80% hands-on. Own the end-to-end enterprise customer experience, information architecture, design-system governance, research, prototyping, validation, and integration of product and conversation design. Influence cross-functional teams, establish design standards, guide hiring and development, and design AI and conversational experiences with strong failure recovery, trust, and usability.

Participate in a paid, part-time cybersecurity internship involving technical development, security response, collaborative projects, shadowing, vendor training, and certifications. Complete in-house training while working with cybersecurity experts. Interns must be U.S.-based, available primarily during weekday EST hours, attend mandatory Tampa onboarding, provide a personal computer and reliable internet, and demonstrate foundational IT, networking, operating systems, and information security knowledge.

Owns end-to-end delivery of cloud platform rollouts, migrations, and customer deployments. Coordinates engineering, services, customers, and leadership; maintains product roadmaps, gathers requirements, secures approvals, and removes delivery blockers. Produces release notes, product documentation, caveats, and monthly leadership reports while directing technical programs and supporting deadline-driven execution across multiple stakeholders.

Serve as primary contact for royalty/interest owners: respond to inquiries, research and resolve ownership issues, maintain ownership records, coordinate stakeholder communications, and produce audit-ready letters and reports on project timelines.

Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.