Top Remote Senior Level Jobs in Columbus, OH

Build customer-facing data products for the single-family rental market. Responsibilities include architecting real estate data models, designing reliable data pipelines and workflows, shaping data platform architecture, establishing engineering standards, and developing real estate domain expertise. The role partners with data science and product teams and requires leadership in scalable data engineering.

Lead administrative and financial management of FINEP-funded strategic projects: ensure regulatory compliance, prepare transparent financial and budget reports, monitor expenditures, support R&D teams, and implement process improvements to optimize resource use and meet project milestones.

Design and develop instructor-led, virtual, digital, and microlearning solutions focused on safety, human performance, and operational excellence. Create storyboards, scripts, assessments, multimedia, AI-generated video and avatar content, and performance support materials. Manage learning projects from kickoff through delivery while collaborating with SMEs and stakeholders. Publish and troubleshoot courses across LMS platforms using SCORM or xAPI, applying instructional design methodologies and maintaining quality and brand standards.

Implement, integrate, and modernize Ping Identity IAM solutions supporting SSO, MFA, adaptive authentication, authentication policies, and identity workflows. Automate administrative and operational tasks using Ping REST APIs, Python, and Bash. Integrate Joiner-Mover-Leaver processes with identity sources and service providers, and migrate legacy applications to OIDC, OAuth 2.0, SAML, and SCIM. Collaborate with infrastructure, cloud, application, and security teams to deliver reliable IAM orchestration at scale.

Owns go-to-market strategy, revenue plans, pricing, packaging, positioning, funnel insights, launches, and field readiness for SaaS products. Partners cross-functionally with product, sales, customer success, growth, operations, legal, and reseller ecosystems. Builds GTM systems, messaging, dashboards, AI workflows, enablement assets, and commercial recommendations while guiding roadmap and monetization decisions.

Designs and implements scalable data pipelines, cloud data platforms, storage solutions, and analytics infrastructure. The role focuses on Snowflake and AWS architecture, migrating legacy systems to cloud environments, developing Python and SQL data-processing logic, orchestrating workflows, and implementing Infrastructure-as-Code and CI/CD. The engineer also contributes to data governance, quality, observability, stakeholder communication, mentoring, and technical leadership.

Design and ship clear, polished experiences for AI-powered financial products. Partner with product managers and engineers to shape features, create trustworthy agentic workflows, visualize complex financial data, maintain scalable design systems, prototype with AI tools, and refine implementations through launch. The role requires strong ownership, collaboration, curiosity, and the ability to make complex concepts intuitive.

Owns full-cycle net-new enterprise SaaS sales across public sector pension systems. Responsibilities include prospecting, territory strategy, RFP and procurement navigation, executive and board presentations, demos, negotiations, forecasting, CRM management, and closing complex multi-stakeholder deals. The role collaborates with sales, marketing, customer success, and product teams, requiring strong public sector sales expertise and travel for finalist presentations, conferences, and customer visits.

Develop and support customer integrations by designing workflows across the core product and external platforms such as QuickBooks, Salesforce, and NetSuite. Translate customer requirements into complete solutions, deliver projects on schedule, maintain project documentation, resolve technical challenges, communicate roadblocks, and mentor team members. The role requires API experience across multiple products, scripting expertise, strong communication, adaptability, and attention to detail.

Leads technical implementations and integrations for higher education partners, owning workstreams from discovery through go-live. Configures SIS integrations, maps and validates data, troubleshoots system issues using SQL, logs, and datasets, and manages integration risks. Serves as the primary technical partner contact, translates complex issues for varied audiences, collaborates with Product and Engineering, and develops scalable documentation, runbooks, and implementation processes.