Top Tech Jobs & Startup Jobs

Manage and grow a large book of scaled business customers through renewals, upsells, and cross-sell opportunities. Develop strategic territory plans, forecast pipeline, track retention and product usage metrics, and collaborate with Marketing, Product, and Customer Success to drive product adoption and customer growth.

As a Scaled Customer Success Manager, you will drive product adoption, engage customers, monitor usage, and collaborate with various teams to enhance customer experiences using AI-powered solutions.

Partner with large enterprise customers to drive AI-agent transformation using Fin: scope projects, map processes, design solutions with engineers, monitor usage and ROI, lead Success Plans and executive reviews, drive adoption, expansion, and measurable automation and CX outcomes.

Lead product marketing efforts for AI-driven customer service solutions, involving messaging, positioning, cross-functional collaboration, and customer alignment.

Lead and develop a team of Small Business Relationship Managers, driving AI-powered sales, managing revenue, and collaborating cross-functionally to enhance customer relationships and product adoption.

The Technical Support Engineer will help customers integrate Fin, resolve technical issues, and enhance the overall user experience. They will communicate efficiently, debug complex problems, and collaborate with product teams to improve the product based on customer feedback.

Lead and develop a team of Small Business/Scale Relationship Managers, focusing on AI-driven customer relationships and achieving revenue goals while ensuring high performance and continuous improvement.

As a Senior IT Systems Engineer, you will enhance IT infrastructure, focusing on automation, identity management, and cloud solutions to improve customer support systems.

Lead and coach a high-performing Forward Deployed Engineering team to deliver customer-focused AI solutions, ensuring success in complex deployments and collaborating across teams.

Partner with large enterprise customers to lead AI-agent transformation: gather requirements, design solutions, drive adoption, measure ROI, run QBRs, protect renewals, and surface product feedback.