Goldcast (a Cvent company) is an AI-powered B2B Video Content Platform that enables marketers to put video content at the heart of the customer journey. We’re building a browser-based, frame-accurate video editor that rivals desktop apps, using cutting-edge tech like WebCodecs, WASM, and Remotion.

Founded in mid-2020 at Harvard Business School, we have 400+ customers across tech, professional services, manufacturing, and finance to deliver engaging video content & digital events.

AI at Cvent: Leading the Future

Are you ready to shape the future of work at the intersection of human expertise and AI innovation? At Cvent, we’re committed to continuous learning and adaptation—AI isn’t just a tool for us, it’s part of our DNA. We’re looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you’ll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.

Throughout our interview process, you’ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you’re excited to be part of a team that’s leading the way in AI-powered collaboration, we’d love to meet you.

Role Overview

We're seeking a Software Engineer II to join our AI team. The ideal candidate will be able to independently deliver medium to large features end-to-end, from design to production rollout. You'll be working on exciting projects such as improving our event timeline functionality, enhancing our clip customization features, and developing new pricing tier implementations.

Here's What You Need:

• 3+ years of experience in software engineering
• Ability to independently deliver medium/large features with ambiguous requirements
• Strong engineering design skills with the ability to write and review design documents
• Experience in video processing & AI/ML is a plus
• Good understanding of production systems and effective debugging skills
• Ability to collaborate effectively with product teams, designers, QA, and other stakeholders