VidOps Team Lead

Posted 19hrs ago

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Job Description

VidOps Team Lead leading Beamr’s video solutions engineering team and customer engagements. Designing video processing solutions, managing evaluations, and partnering with Sales on commercial opportunities.

Responsibilities:

  • 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.

Requirements:

  • 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.