Overview:
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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.
We're seeking an Engineering Manager to lead two engineering pods focused on AI Agents across the content homepage, video editor, and adjacent AI initiatives. You will own outcomes end-to-end, partnering with Product and Design to define roadmaps, drive predictable delivery, and raise engineering quality bars. You’ll build a high-performing team culture, develop talent, and continuously improve processes while advancing our AI agent capabilities in core product surfaces.
A people and delivery leader who translates strategy into clear plans and measurable outcomes, de-risks execution across multiple work streams, mentors engineers, and communicates crisply with stakeholders. Strong technical judgment in platform or full-stack systems and experience setting engineering standards at scale
In This Role, You Will::
- Team leadership and delivery
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Manage up to two pods and take full ownership of their projects. Plan, de-risk, and deliver on time with strong SDLC and release rigor.
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Establish and uphold standards for code quality, testing, observability, and operational readiness.
Own engineering metrics and OKRs. Communicate progress, risks, and mitigations proactively to stakeholders.
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Product partnership and roadmap
Collaborate with Product and Design to clarify requirements, propose solutions, and co-create the roadmap for AI Agents on homepage, editor, and other AI initiatives. Drive crisp scope, prioritization, and trade-offs.
People development and hiring
Hire, onboard, mentor, and grow engineers across levels. Recognize performance, address gaps, and foster a collaborative, high-ownership culture.
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Engineering excellence and cross-org impact
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Lead at least one engineering-wide initiative and continuously improve processes within and across teams.
Focus Areas You’ll Lead
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AI Agents for homepage and editor experiences, including:
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Assisted creation, editing, and automation workflows in the editor
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Homepage agent experiences that generate, summarize, and personalize content
Additional AI initiatives such as transcript-driven workflows, content generation and enhancement, analytics-driven iteration, and quality evaluation loops for AI outputs
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Execution hygiene and scale
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Roadmaps, RFCs, engineering docs, experimentation and A/B testing, analytics and tracking, tech-debt management, and release planning to ensure reliable, iterative delivery at scale
Here's What You Need::
- 8+ years in software engineering with 2+ years managing engineers or serving as a Tech Lead Manager across multiple workstreams
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Strong technical judgment in backend or full-stack systems and the ability to guide designs and architecture for scalable, maintainable solutions
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Proven track record of delivering complex projects on time, improving team processes, and raising engineering quality bars
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Excellent communication and stakeholder management with Product and Design
Nice to Have
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Experience with AI/ML-enabled media or content workflows, transcript-based processing, and quality evaluation for generated content
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Familiarity with experimentation and analytics stacks for iteration and measurement
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Operating experience in high-growth or startup environments leading multiple pods
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