Top Remote Jobs in Columbus, OH

Design and implement automated testing frameworks for data platforms, pipelines, distributed processing systems, and machine learning workflows. Develop strategies for data quality, schema integrity, drift, model accuracy, bias, regression, performance, and resilience. Investigate production failures, conduct exploratory testing, embed continuous validation into delivery processes, collaborate across engineering and data teams, and mentor junior SDETs.

Own end-to-end product design across research, problem definition, prototyping, implementation, launch, and iteration. Shape product direction with engineering, CX, and executive partners; engage directly with customers; create polished interfaces for complex FP&A workflows; use AI throughout the design process; and improve team practices, design patterns, feedback, and product quality.

Supports client-facing technical issues, escalates bugs, monitors production systems, troubleshoots web and email problems, updates backend data, and contributes to software features, data pipelines, APIs, and responsive applications. Works cross-functionally with Engineering, Product, QA, and Data teams while developing skills in web technologies, SQL, cloud environments, accessibility, and generative AI.

Own recurring FP&A activities including budgeting, forecasting, financial modeling, variance analysis, reporting, and close support. Partner with Operations and other functions to connect operational KPIs to financial results, coordinate accruals, and explain variances. Build automated reporting and scalable finance processes using AI, BI, planning, and ERP tools. The role supports the Strategic Finance Manager and offers growth toward Senior Analyst.

Supports corporate hiring by partnering with leaders, defining hiring strategies, building candidate pipelines, sourcing proactively, screening applicants, coordinating hiring processes, and providing market insights. Recruits across construction, project-based, technology, finance, sales, HR, and operational roles while managing multiple openings and maintaining a strong candidate experience in fast-paced environments.

Manages financial controls for construction projects by monitoring budgets, expenditures, forecasts, commitments, change orders, invoices, and risks. Reviews contractor cost reports, reconciles actuals against GMPs and approved budgets, supports contract administration and pay applications, and prepares cost and progress reporting. Coordinates change control, accruals, forecasting, and financial reviews while maintaining accurate, audit-ready documentation and partnering with construction, project management, finance, and external teams.

Own the full accounting cycle, including month-end close, general ledger, revenue recognition, reconciliations, AP, payroll, tax, compliance, forecasting, and audit readiness. Manage and develop a small accounting operations team, review financial work, maintain reporting schedules, and improve processes through automation and AI. Partner with the Head of Finance on accurate reporting, variance analysis, and scalable finance operations.

Build and deploy production GenAI solutions on Google Cloud, including agentic assistants, RAG pipelines, model integrations, API tools, and multi-agent systems. Evaluate and tune models, develop LLM testing and regression harnesses, ensure solution quality, and convert client-specific implementations into reusable assets. Collaborate with data engineering, AgentOps, forward-deployed engineering, and engagement teams to deliver secure, reliable solutions for higher education and SLED clients.

Owns the technical relationship between Nelnet’s GenAI delivery team and higher education and SLED clients. Leads discovery, scopes AI solutions, translates requirements into delivery backlogs, surfaces compliance and technical risks, validates acceptance criteria, and advises clients on practical AI adoption. Collaborates with engagement managers, cloud engineers, data engineers, and AgentOps teams to ensure solutions are feasible, compliant, and aligned with institutional needs.

Build and maintain Google Cloud data pipelines and ETL/ELT processes supporting GenAI and RAG solutions. Classify and govern sensitive data using Dataplex and Cloud DLP, enforce access controls, assess AI readiness, and design reusable schemas and data models. Collaborate with engineering, delivery, and client teams to integrate legacy systems, monitor pipeline reliability, conduct data quality testing, document data flows, and proactively identify compliance and delivery risks.

Sells complex software platforms to enterprise customers and prospects, achieving quotas through strategic account planning, account expansion, partner engagement, executive relationships, and deal management. Develops business cases, negotiates contracts, coordinates cross-functional sales teams, and closes large software deals. The role focuses on storage and data management solutions and requires enterprise-level software sales experience, industry knowledge, and the ability to sell six- and seven-figure solutions.

Drives growth in cloud-native accounts by prospecting, managing complex sales cycles, closing high-value deals, building executive relationships, delivering tailored proposals, monitoring cloud market trends, collaborating with product and marketing teams, mentoring junior sellers, and maintaining CRM pipeline data. The role focuses on AWS, Azure, and GCP customers and requires strong enterprise software sales expertise.

Own contracts, vendor relationships, procurement workflows, and spending for a research organization. Manage agreements, negotiations, onboarding, renewals, purchase orders, invoices, forecasts, and budget tracking across global markets. Coordinate with Legal, Privacy, Security, Procurement, Finance, and Accounts Payable while maintaining contract repositories and supplier data. Improve operational processes using Airtable, AI tools, and workflow automation, and keep researchers informed about approvals, timelines, and project status.

Owns end-to-end onboarding and implementation for partner medical practices, managing timelines, meetings, materials, dependencies, risks, and follow-through through launch and post-launch operations. Serves as the primary day-to-day contact for practice stakeholders, coordinates clinical and implementation workstreams, manages vendor and internal partners, and improves processes through standardized checklists, templates, and tracking systems.