Top Tech Jobs & Startup Jobs in Columbus, OH

Build and operate end-to-end premium purchasing and subscription systems (Stripe, Apple/Google IAP, payments). Own projects from design through rollout and reliability, instrument observability, debug production, define metrics, mentor engineers, and drive technical direction and standards.

Sales Engineers at Harness act as technical support for sales, driving technology evaluations, demonstrating product value, and collaborating with customers and engineering teams.

Build and operate production-grade infrastructure for real-time LLM workloads and Conversational Intelligence: reliable event-driven messaging, state/session management, observability, service boundaries, and production support including on-call and incident response. Mentor peers and harden platform interfaces for scalability and reliability.

The Revenue Cycle Productivity & Quality Analyst analyzes performance data, identifies improvement opportunities, and coordinates operational enhancements in revenue cycle processes.

Drive new member pipeline through high-volume outbound prospecting (100+ touches weekly), research and qualify leads, schedule discovery meetings for Regional Sales Managers, collaborate on business development plans, track market intelligence and pipeline metrics, and support company events and initiatives.

The Director Analyst will leverage expertise in identity and access management to advise clients on technologies and deployment, conduct research, and produce advisory documents. The role involves direct client engagement, presenting research findings, and maintaining Gartner's industry reputation.

The Senior Director Analyst will engage with clients to provide expert advice on identity management technologies, conduct research, produce advisory documents, and deliver presentations.

The Director of Business Development will drive growth in the AI ecosystem through strategic partnerships, client engagement, market analysis, and collaboration, aiming to expand TaskUs's footprint in AI services.

Design, build, and operate central observability platforms. Develop telemetry pipelines for logs, metrics, traces, and events; enforce instrumentation standards; build scalable cloud-native ingestion and storage; optimize cost, performance, retention, and reliability; investigate incidents and drive root-cause analysis; and create dashboards, reports, and service-level monitoring frameworks.

Lead data science across Growth and Membership Operations: define problems, build scalable data models and pipelines, develop analytical and ML solutions, partner cross-functionally, and integrate AI tools to optimize sales, marketing, telesales, and enrollment operations.

Lead cross-platform product design for enterprise users and admins: translate complex systems into intuitive experiences, own and scale a unified design system, run user research, produce end-to-end deliverables (wireframes, prototypes, specs), and collaborate closely with Product and Engineering.