Top Remote Jobs in Columbus, OH

Cint seeks a Product Designer to enhance user experiences across its SaaS products. Responsibilities include user testing, creating design artifacts, and collaborating with teams to deliver outstanding design solutions.

Manage and optimize paid media campaigns on platforms like Google Ads and LinkedIn, while developing an Account-Based Marketing program. Collaborate cross-functionally to refine account lists and improve pipeline acquisition through strategic reporting and analysis.

The HUD Multifamily Analyst coordinates FHA loan application processes, evaluates borrower information, manages pipeline prioritization, and contributes to underwriting discussions, emphasizing compliance and analysis.

The PWM Transition Specialist will manage the transition of Financial Advisors to Baird, ensuring seamless client onboarding, account setups, compliance, and collaboration with team members, while traveling frequently to meet client needs.

The Forward Deployed Customer Success Manager manages strategic relationships with Lighthouse accounts, ensuring customer success and retention through technical literacy and effective orchestration of cross-functional teams.

The Senior Manager of Solution & Product Marketing will lead market positioning, launch new solutions, and ensure adoption while partnering with product leaders in life sciences.

The Full Stack Engineer will develop and maintain front-end and back-end components of the application, ensuring performance and integration. Collaboration with cross-functional teams is essential to translate concepts into user-friendly solutions.

As an SDR, you will drive business growth by generating leads, qualifying prospects, and setting meetings for account executives, while collaborating closely with the sales and marketing teams.

The role involves reviewing and correcting emergency call transcripts in Spanish and proofreading English translations, requiring attention to detail and quality focus.

The Machine Learning Engineer will design and deploy computer vision models, build training pipelines, and enhance ML infrastructure to improve agricultural field operations.