Top Remote Jobs in Columbus, OH

Design, develop, deploy, and support enterprise integrations for tolling systems using C#, .NET, Azure, SAP, CRM, IVR, APIs, middleware, and external platforms. Build secure REST APIs, microservices, Azure Functions, and Service Bus solutions; optimize high-volume data flows and IVR experiences; integrate payment, traffic management, and backend systems; document technical solutions, testing, impacts, and standards compliance.

Manages EMI engineering and high-power EMI/EMC testing for naval and maritime power systems. Responsibilities include developing test plans and procedures, executing tests, managing lab resources and ISO 17025 compliance, coordinating technical teams, overseeing project schedules and risks, reporting results, and supporting business development. The role requires extensive experience with DoD EMI standards, energy storage and power conversion equipment, technical leadership, and customer liaison responsibilities.

Leads enterprise pricing strategy, proposal pricing, contract administration, regulatory compliance, negotiations, and pricing governance for government and commercial contracts. Develops cost models, labor and material estimates, pricing narratives, BOEs, and price-to-win strategies. Provides executive guidance on contractual and financial risks while leading cross-functional reviews and developing pricing and contracts teams.

Own and scale Komodo Health’s application and product security program across software repositories, CI/CD pipelines, cloud deployments, and AI features. Build security automation, configure SAST/SCA/DAST tooling, conduct threat modeling and penetration-test remediation, secure software supply chains, and establish AI security guardrails. Partner closely with Engineering and Forward Deployed Engineering teams, support customer security reviews, improve vulnerability management, and maintain SOC 2 readiness.

Leads customer and partner marketing strategy to drive expansion, cross-sell, upsell, retention, and partner-sourced pipeline. Develops account-based campaigns, lifecycle marketing, co-marketing, partner enablement, webinars, events, and customer advocacy programs. Uses AI, automation, segmentation, and performance data to improve marketing efficiency and revenue impact. Manages a team of two Demand Generation Managers and a Marketing Coordinator while partnering with Sales, Customer Success, Account Management, Partnerships, and Product Marketing.

The Enterprise Account Executive will manage the full sales cycle for AI solutions serving law firms and professional-services enterprises. Responsibilities include prospecting, account management, product demonstrations, contracting, onboarding, revenue-target achievement, stakeholder engagement, and expanding customer usage. The role requires consultative, value-based selling of complex B2B SaaS solutions, cross-functional collaboration with product and engineering teams, and contributions to sales playbooks and processes.

Develop data-driven creative briefs, research consumers and competitors, identify high-performing concepts, analyze ad tests, and write scripts and copy for video and static performance ads. Collaborate with creative teams to refine concepts, ensure brand consistency, incorporate feedback, and track deliverables against timelines.

Reports on Newark schools through breaking news, enterprise, and investigative journalism. Builds diverse sources, uses public records and data to hold education officials accountable, develops community relationships, engages readers, collaborates with media partners, and explains education systems to diverse audiences.

Manages configuration, onboarding, troubleshooting, escalation support, and technical integrations for ECRS loyalty and promotions products. Supports customer records, segmentation, APIs, digital coupon platforms, reporting, documentation, beta testing, and after-hours incident triage. Serves as a subject-matter expert for customers, sales engagements, webinars, and product initiatives while maintaining SLAs and security practices.

Researches, designs, develops, trains, and deploys computer vision and machine learning models. Builds and maintains ML software, testing and validation processes, and documentation. Applies image and video processing, deep learning, and computer vision techniques across edge and cloud-based platforms while improving existing applications and performance.

Develops profitable customer relationships through prospecting, lead qualification, presentations, negotiation, closing, account management, and quota achievement. The role maintains CRM opportunities, grows existing business, represents ECRS at trade shows and customer accounts, and promotes retail automation products. Travel to regional and national trade shows and assigned customers is required.

Design and build architecture for institutional blockchain infrastructure spanning sequencers, coordinators, ZK proving, interoperability, privacy, settlement, and production infrastructure. Translate financial-institution requirements into implementable designs, lead proof-of-concepts, make architecture decisions, document ADRs, evaluate build-versus-buy choices, and support technical client discussions. This is a hands-on individual contributor role requiring recent distributed-systems development experience and strong Ethereum/EVM knowledge.

Designs, builds, and operates cloud infrastructure, deployment systems, observability, and reliability capabilities. Responsibilities include infrastructure as code, Kubernetes, CI/CD, networking, identity, incident response, SLOs, postmortems, on-call operations, cost optimization, and production readiness. The engineer automates operational work, reduces toil, supports hybrid and customer-controlled environments, and helps teams deliver reliable software across complex, mission-critical platforms.

Build and operate production AI capabilities across an enterprise platform, including agent runtimes, model routing, RAG, tool calling, guardrails, evaluation, monitoring, and cost optimization. The role focuses on turning AI prototypes into reliable, measurable, safe, and cost-efficient production features. Responsibilities include designing evaluation frameworks, monitoring AI behavior, optimizing latency and reliability, managing risks, and collaborating with backend, platform, product, security, and client teams.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, integrations, data access patterns, and platform services. The engineer owns services across architecture, implementation, testing, deployment, monitoring, reliability, and support while addressing distributed-system concerns such as failure handling, consistency, idempotency, retries, and back-pressure.