Top Remote Entry Level Jobs in Columbus, OH

Build and lead MapQuest APIs' technical selling function for enterprise customers. Conduct technical discovery, create proofs using customer geospatial data, win competitive evaluations, develop migration tools and code samples, and own technical customer sign-off through implementation handoff. The role combines solutions architecture, development, technical sales, and geospatial investigation while supporting enterprise API revenue growth.

Full-cycle enterprise sales role responsible for prospecting, developing, qualifying, and closing deals with large, multi-stakeholder organizations. The position sells FacilitiesLink, a facilities information platform for planning, building, and operating large-scale campus environments. Compensation includes 50% commission, a $20-per-hour guaranteed draw, and on-target earnings starting at $150,000 annually. Flexible work arrangements are available, with occasional travel required.

Lead go-to-market strategy and operations initiatives for international and MCS Sales and Account Management teams. Analyze business performance, pipeline, capacity, and trends; translate findings into priorities and recommendations; improve planning, reporting, and decision-making processes; and manage cross-functional projects from scoping through implementation. Partner with senior leaders and teams across Sales, Systems, Business Intelligence, Finance, and Marketing to drive measurable business outcomes.

Provides pre-sales technical support by discovering customer needs, designing Boomi solutions, delivering presentations and demonstrations, developing proofs of concept, supporting RFI/RFP responses, and performing advanced systems integration. Collaborates with account executives and internal specialists to build solutions involving APIs, enterprise messaging, iPaaS, integration architecture, LLMs, prompt engineering, and AI platform integrations.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Own a 50–60-account Global 2000 territory, generate pipeline through outbound and partner channels, engage executive buyers, and close complex six- and seven-figure enterprise deals. Responsibilities include discovery, business value assessments, multi-threading, procurement and security navigation, account planning, and expanding initial wins across departments. The role also contributes competitive intelligence and helps shape Monte Carlo’s upmarket sales playbook.

Own a territory and manage the complete outbound sales cycle for Adapt, an AI-powered dynamic pricing product. Prospect property management company leaders, deliver revenue business cases, run pilots, negotiate contracts, close deals, attend regional events, and relay customer feedback to product teams. The role is remote within a territory and requires regular travel. The successful candidate will help establish the sales process as the founding seller in the region.

The posting provides no specific responsibilities or qualification details for the Director of Special Investigations role. The position appears to be associated with financial investigations within a Financial Intelligence Unit at a national financial services company.

Own the commercial enablement roadmap for account executives, account managers, and customer success managers. Define execution standards, translate product and process changes into practical guidance, facilitate workshops and role plays, create playbooks and coaching tools, support onboarding and certifications, and use field feedback, conversation intelligence, CRM signals, and program data to improve readiness and customer-facing performance.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.