Top Remote Entry Level Jobs in Columbus, OH

Owns enterprise new-logo acquisition from prospecting through contract negotiation and close. Builds pipeline, leads value-based sales cycles with senior stakeholders, delivers product demos, develops proposals and forecasts, maintains Salesforce pipeline hygiene, and partners with Marketing and Business Development. The role requires full-cycle enterprise B2B SaaS selling, quota achievement, AI-assisted sales execution, and the ability to sell workplace, facilities, HR, IT, finance, or real estate solutions.

Lead engineering strategy, architecture, AI-native product development, execution, hiring, and organizational growth. Partner with the CEO, leadership, and Product to build technical roadmaps, establish AI-assisted development and evaluation practices, improve infrastructure and engineering quality, and maintain delivery accountability. This hands-on leadership role requires coding credibility, product collaboration, talent development, cross-functional communication, and ownership of engineering metrics, culture, and technical direction.

Own and scale Zippy’s wholesale and broker revenue channels by setting growth strategy, managing channel performance, expanding markets, developing partner acquisition and activation playbooks, and optimizing revenue. Establish metrics, reporting, operating cadence, and accountability systems; guide resource allocation; oversee partner ecosystem health; and align Growth, Product, Originations, Capital Markets, and executives around scalable execution and risk management.

Monitor NBA and WNBA news, lineups, and storylines; create engaging social media posts for Underdog’s basketball accounts; develop evergreen content ideas; integrate products, odds, and markets into social content; and support backend administrative systems. WOOF WOOF

The Content & Prompt Operations Specialist manages AI-assisted content workflows, ensuring accuracy and engagement in content produced. Responsibilities include writing prompts, drafting content, proofreading, and improving AI outputs while following structured processes.

Lead the evolution of Assured’s design system, defining shared patterns, standards, tools, and infrastructure across Design, Product, Brand, and Engineering. Improve craft, consistency, accessibility, and scalability while exploring AI-enabled design workflows. The role combines strategic leadership with hands-on product, interaction, and visual design work to enable teams to build high-quality experiences efficiently.

Develops and manages technology partnerships that expand Wikimedia product distribution and content reuse. Responsibilities include identifying partners, negotiating zero-dollar LOIs and MOUs, supporting attribution pilots, maintaining CRM pipelines, creating pitch materials and strategies, aligning partner needs with product roadmaps, coordinating cross-functional teams, attending industry events, and monitoring technology trends. The role requires strong technology and media connections, product fluency, negotiation skills, analytical ability, and independent program coordination.

Support a global 24x7x365 security operations team by monitoring systems and networks, investigating threats and incidents, responding to phishing, malware, breaches, and cyberattacks, deploying countermeasures, analyzing post-event activity, assessing vulnerabilities, and improving security protocols. The role requires familiarity with cloud security controls, network protocols, operating systems, scripting, web technologies, penetration testing tools, and threat intelligence.

Coordinates litigation support operations by triaging and routing tickets, managing Zendesk and phone communications, monitoring job milestones, requesting vendor updates, and keeping clients informed. Resolves cross-functional issues, escalates urgent requests, maintains accurate case records, and supports knowledge-base and meeting-note projects. The role requires organized, precise handling of high-volume, deadline-driven workflows and familiarity with legal documents and eFiling or case-management platforms.

Lead and develop a 12-person multidisciplinary data organization spanning data engineering, analytics engineering, data science, machine learning engineering, and support. Set technical direction for the data platform, improve scalability and reliability, automate workflows, guide architecture, and integrate data and machine learning capabilities into products. Establish priorities, support go-to-market teams, manage performance and career development, hire effectively, and collaborate with Engineering, Product, and company leadership.