Top Tech Jobs & Startup Jobs in Columbus, OH

The Solutions Engineer will assist Mid-market and SMB Sales teams in pre-sales activities, deliver product demonstrations, manage technical evaluations, and collaborate on product improvements.

The Technical Director will lead technical strategy, client engagement, project execution, and team leadership while ensuring alignment with business goals and best practices in software development.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

Lead cryptocurrency investigations by analyzing on-chain/off-chain data, conducting blockchain tracing, performing OSINT research, reviewing legal process documents, liaising with law enforcement, and training internal teams to detect and remediate illicit activity.

Lead and scale Lambda Cloud's enterprise sales organization: recruit and coach sellers, define GTM and commercial terms, manage pipeline and forecasting, align capacity allocation with customer demand, close strategic, high-value accounts, and channel customer feedback into product and capacity roadmaps.

Manage the operational workflow for pre-litigation personal injury cases in Illinois and Ohio: open claims, request and track medical records and police reports, monitor liens and subrogation, collaborate with paralegals to prepare demands, and resolve operational bottlenecks to keep cases moving.

Lead UX design for AI-driven IT operations platform, define design principles, create scalable systems, mentor a growing team, influence product strategy.

Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.

Lead the Clients team building and shipping the NodeZero runner and other customer-deployed software. Own CI/CD workflows, secure software supply chain and updates, collaborate with product and security teams, hire and mentor engineers, define engineering culture, and ensure robust testing and architecture for diverse customer environments.

Build production-ready agentic AI applications that integrate agents, workflows, memory, reasoning, and tools to solve customer use cases. Rapidly prototype, iterate, and ship end-to-end AI experiences; design integrations and UX, ensure reliability, performance, and evaluation; partner with platform and product teams to create reusable components and customer-ready solutions.