Top Tech Jobs & Startup Jobs in Columbus, OH

The role involves full-cycle B2B sales, focusing on prospecting and closing new clients within litigation funds and law firms, emphasizing relationship-building and a consultative approach.

As a Customer Success Manager, you will drive adoption and revenue growth for AI solutions, manage Enterprise accounts, and ensure customer success through strategic execution and relationship management.

The Inside Sales and Marketing Specialist will identify clinical trial opportunities, support marketing initiatives, maintain a pipeline in Salesforce, and assist with administrative duties within the business development team.

The Performance Marketing Manager will manage paid acquisition across various ad platforms, optimize conversion rates, and build lifecycle marketing strategies to enhance customer retention and reduce churn.

The role involves leading data integration and migration programs, facilitating communication between business and technical teams, and managing data management processes across diverse environments without a clear destination.

The Accounting Manager will oversee month-end close processes, ensure compliance with US GAAP, manage audits, and enhance accounting procedures while mentoring junior staff.

Responsible for generating new business opportunities with pharmaceutical companies and managing the sales process, from lead generation to closing deals while collaborating with marketing and product teams.

Lead programmatic sales at Life360, shaping go-to-market strategy, optimizing revenue performance, and mentoring teams. Engage in partnerships and cross-functional collaboration to drive innovation in digital advertising.

The Recruiter will drive the recruitment process for real estate professionals, manage candidate pipelines, and ensure compliance with labor laws. Responsibilities include executing recruitment strategies, building professional relationships, and tracking recruitment metrics.

Lead invention of AI-driven ASIC development methodology, identify cross-stage bottlenecks, build scalable data pipelines, define metrics, mentor engineers, and evaluate AI/EDA research to improve predictability and cycle time.