Company Overview:
At Panopto, we are driven by a powerful purpose: to be the leader in visual and audio-based learning. We do this by empowering learners with interactive video and by obsessively understanding our users' goals and delivering solutions that truly matter. Backed by a leading private equity firm, we are a team of approximately 200 professionals dedicated to doing the most impactful work of our careers.
As we continue to support growth and expansion, we are seeking an experienced Manager to lead our Content Generation Team. We are looking for someone who loves solving interesting technical challenges at scale and enabling compelling customer experiences.
Position Summary:
As the Engineering Manager of the Content Generation team, you will lead a team of 5-6 developers and will collaborate closely with your Product Management peer. You will be responsible for ensuring our core AI models and content pipelines are built robustly, securely, and scale to meet our quickly growing product. You will manage communications with product and research teams, ensuring Panopto keeps pace with advancements in Generative AI technology.
How You’ll Contribute
In this role, you will:
Management and Hiring: Manage and grow an experienced team with multiple senior/principal engineers. You will define and execute a hiring plan for your org that will allow the team to meet the needs of our rapidly growing business and allow everyone on the team to contribute their highest and best impact. You will also mentor and drive the growth of the talented engineers on your team.AI Content Generation & ML Engineering: experience and knowledge of software engineering, technical architecture, and machine learning systems for content generation (e.g., text, audio, video) will allow you to lead efforts to identify, prioritize, and improve architectural problems that exist in the current codebase, with a focus on model serving, performance, latency, and quality of generated content. You will provide guidance and a plan for maturing our codebase and systems to allow our teams and the engineering organization to efficiently grow. Ideal candidates have a strong attention to detail and desire to get to the bottom of how things work, a drive to take action and improve things where they can, and a natural focus on ensuring an excellent customer experience. If you’re interested in working on a rapidly evolving system loaded with interesting challenges and complex problems, we want to talk to you.Technical Leadership & Delivery: You will work hands-on with senior and principal engineers on system architecture, technical decision-making, and roadmap execution across AI/ML and platform components. This includes shaping architectural patterns, breaking down complex initiatives into executable plans, and ensuring effective task distribution and delivery across teams. You will stay close to implementation through design reviews, code reviews, and technical deep dives, and partner on DevOps, reliability, and performance improvements to support scalable, production-grade AI systems.
Required Qualifications:
Bachelor's degree in Computer Science or a related field or an equivalent amount of experience or training in industryMultiple years of experience working on complex projects in a professional environment, preferably with a focus on JavaScript-powered web applications.Strong experience with technologies like Node.js, React, MongoDB or similar.People management for teams of 4+ engineers, including senior and staff/principal-level ICsRunning operations for highly available (tier one) services. Best practices for logging, metrics, monitoring, real-time debugging/diagnostics, and alarmingProject management, stakeholder communication, and communication with non-technical teamsTechnical expertise in cloud platforms such as AWS, Azure or GCPTechnical expertise in distributed and scalable system architectureTechnical expertise in development infrastructure and automation frameworksLearning, technical curiosity, ability to rapidly build expertise in new areas and new technical stacks.
