Top Tech Jobs & Startup Jobs in Columbus, OH

Build and productionize LLM-backed agents and workflows: create eval harnesses, observability, provenance and human-review surfaces, extend agent capabilities (web/CMS, OAuth), implement pipeline orchestration, and ship scoring/ranking models and reusable modules to scale across clients.

Lead or co-lead intellectual property damages engagements: perform research, financial and economic modeling, analyze statements and documents, draft expert reports, manage client relationships, mentor team members, and support business development while integrating AI tools into workflows.

Lead and scale Customer Success across North America for Kainos' Workday products. Drive retention, adoption, value realization, and GRR through structured success planning, executive engagement, and renewal readiness. Build and develop a distributed CSM team, implement playbooks and health frameworks, leverage data and AI-enabled automation to prioritize actions, and partner cross-functionally to improve reporting, forecasting, and customer advocacy.

Lead discovery-driven product demonstrations and own technical sales engagements from qualification through close. Configure personalized demo environments, run proof-of-concepts, respond to RFPs and security questionnaires, and partner with Account Executives to translate platform capabilities into business outcomes for HR, Finance, and executive stakeholders.

Identify and qualify US market opportunities, build and maintain partner relationships, generate leads with publishers/distributors/advertisers, represent the company at events, create presentations and proposals, collaborate with internal teams, track partnership performance, support negotiations, and report pipeline and competitive analysis to leadership.

Full-stack product engineer (backend-focused) who builds scalable NodeJS services, crafts React/TypeScript UIs, designs APIs, writes well-tested code, optimizes PostgreSQL queries and data pipelines, improves observability, and contributes to architecture and engineering practices for a fintech platform.

Lead FP&A and analytics for operations, HR, and accounting: build financial models, forecast and report, design dashboards, own KPI monitoring, translate data into actionable recommendations, and write/optimize SQL queries against BigQuery.

Design and implement data models, pipelines, and ML systems to power AI agents and analytics. Build, deploy, and monitor machine learning models at scale, integrate Snowflake/AWS and Salesforce Data Cloud, and deliver production-ready data products and views to stakeholders.

Provide high-touch user support via Intercom, troubleshoot web/mobile and integrations, build Intercom automations and AI-driven workflows, create help center content, report bugs and collaborate with product and engineering, and support onboarding to improve user experience and reduce friction.

Design, build, and maintain data pipelines and Microsoft Fabric lakehouses; create Bronze/Gold Delta tables and Power BI semantic models with DAX and row-level security; develop SQL views and incremental load patterns; monitor pipeline health, support data governance, and train reporting staff on the new Fabric environment.