Top Tech Jobs & Startup Jobs in Columbus, OH

The BDR will conduct outbound prospecting into performing arts organizations, build lists, qualify leads, book meetings, and manage CRM records.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.

DoubleZero seeks senior leaders to create roles in increasing bandwidth and reducing latency for distributed systems, particularly blockchain technology.

Vidmob invites applications for general consideration, seeking creative talent to help drive business results through improved creative effectiveness. Candidates can submit applications for various roles.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

Responsible for owning the sales cycle, developing enterprise opportunities, and building relationships with technical and executive stakeholders in a fast-growing startup.

Research, draft, edit, and validate practitioner-facing US federal tax articles using AI tools. Ensure accuracy and currency, collaborate with data scientists, and align content with tax firm workflows and customer needs while helping build the content function.

Serve as the primary technical and operational customer contact for SewerAI's PIONEER and AutoCode platforms. Triage and resolve lower-level technical issues, document interactions in Pylon, provide workflow and onboarding guidance, support ProServe projects, represent the company at trade shows, and collaborate cross-functionally to drive adoption, satisfaction, and retention.

The Senior Client Executive will focus on acquiring new clients for Aptos Unified Commerce solutions, engaging in strategic sales, fostering partnerships, and managing client relationships to drive business growth.

Design, implement, and evaluate applied research projects to improve alignment, safety, and evaluation of LLM-based guardrails. Work on experiments (e.g., synthetic data quality metrics, explanations for blocked content), deliver results with mentor guidance, and present findings to the team to shape product capabilities.