
11 - 50 employees
📱 Media
🤖 Artificial Intelligence
Media • Artificial Intelligence
Beamr is an inventor and provider of leading technology for encoding, compressing, and optimizing images and videos. The company serves top media companies in the world, including Netflix and Paramount. Beamr’s inventive perceptual optimization technology is backed by 53 patents and won the Emmy® award for Technology and Engineering. With the launch of Beamr Cloud, an efficient video cloud service ready for AI workflows, it enables high-quality, high-scale video processing powered by GPUs, adding value across various industries where videos are essential.
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11 - 50 employees
📱 Media
🤖 Artificial Intelligence
Media • Artificial Intelligence
Beamr is an inventor and provider of leading technology for encoding, compressing, and optimizing images and videos. The company serves top media companies in the world, including Netflix and Paramount. Beamr’s inventive perceptual optimization technology is backed by 53 patents and won the Emmy® award for Technology and Engineering. With the launch of Beamr Cloud, an efficient video cloud service ready for AI workflows, it enables high-quality, high-scale video processing powered by GPUs, adding value across various industries where videos are essential.
• Lead and develop the VidOps team, setting priorities, allocating work, managing performance, and coaching team members in technical and customer-facing skills. • Partner with Sales to assess prospect fit and commercial potential, prioritize technical work across accounts, and deliver customer-facing demonstrations and technical discussions during the sales process. • Lead customer evaluations and proofs of concept, defining scope, measurable success criteria, timelines, and next steps with Sales and customers to support commercial decisions. • Contribute hands-on to the design, implementation, and support of advanced video processing and encoding solutions using Beamr technologies and platforms. • Collaborate with customers to understand their video workflow needs and develop tailored solutions. • Create benchmarks and frameworks to analyze video processing solutions and workflows. • Troubleshoot complex video issues related to encoding, streaming, and playback across devices and platforms, and provide technical support and training on video technologies and best practices. • Coordinate team capacity and delivery commitments across evaluations, demonstrations, integrations, and support, managing scope and setting clear expectations with customers and internal teams. • Track engagement progress, risks, and blockers, and keep Sales and management informed. • Establish consistent processes for customer handoffs and evaluation planning. • Stay up to date with emerging video technologies and trends.
• Bachelor's degree in Computer Science, Video Engineering, or a related field. • 5+ years of experience in video engineering or related roles. • 2+ years of experience managing a Solutions Engineering or pre-sales team, including work allocation, coaching, and performance management. • Knowledge of video codecs, streaming protocols, and content delivery networks. • Experience with video processing tools and frameworks such as FFmpeg and GStreamer, video encoder configuration, and quality metrics such as PSNR, SSIM, and VMAF. • Proficiency in at least one programming language, such as Python, C++, or Java. • Experience working in the cloud, preferably AWS, and familiarity with cloud platforms for video processing and delivery. • A strong sales mindset, with the ability to assess commercial potential and align technical effort with sales priorities. • Experience leading customer evaluations or proofs of concept, defining measurable success criteria, and guiding customers toward a decision. • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences. • Ability to manage competing priorities and timelines across multiple accounts, set clear expectations, manage scope, and make practical resource allocation decisions. • Strong time-management and independent working skills, problem-solving abilities, and attention to detail.
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