Technical Project Manager - Remote / Telecommute

Overview

Remote
$55 - $55
Contract - W2
Contract - 1 month(s)
No Travel Required

Skills

Automation
Deadline
Qube
OpenCue
Workflow orchestration

Job Details

Job Description:

Responsibilities:
  • Lead technical project management for VFX pipeline, render farm operations, and storage initiatives.
  • Oversee end-to-end delivery of projects, ensuring scope, timelines, and quality are achieved.
  • Collaborate with engineering, pipeline, and creative teams to optimize render farm scheduling, throughput, and scalability.
  • Develop and implement storage strategies (high-performance storage, archival, cloud/on-prem hybrid).
  • Anticipate and mitigate challenges related to render farm performance, queuing, software licensing, and compute scaling.
  • Run operational scrums and sprints, ensuring teams adhere to agile best practices.
  • Partner with vendors and internal stakeholders on render farm and VFX pipeline technologies.
  • Track KPIs around render performance, job completion, storage utilization, and cost optimization.
  • Communicate project status, risks, and dependencies to executive stakeholders.
  • Drive innovation in automation, workflow orchestration, and operational excellence.
Required Skills And Experience:
  • 10+ years of technical project management experience in Media & Entertainment, preferably VFX, animation, or post-production.
  • Proven experience managing render farms (e.g., Deadline, Qube, OpenCue, or equivalent render management software).
  • Strong knowledge of storage strategy high-speed storage, NAS/SAN, cloud storage, archival systems.
  • Experience in Agile methodologies running scrums, sprints, and backlog management.
  • Solid understanding of VFX production pipelines, rendering processes, and GPU/CPU compute infrastructure.
  • Ability to translate complex technical challenges into actionable project plans.
  • Strong leadership, stakeholder management, and communication skills.
Nice-to-Have:
  • Familiarity with cloud render solutions (AWS Thinkbox, Google Cloud Platform Zync, Azure Batch Rendering).
  • Knowledge of containerization (Docker/Kubernetes) for scaling rendering workloads.
  • Experience with cost optimization in large-scale compute/storage environments.
  • Background in IT infrastructure, systems engineering, or pipeline development.
Education:
  • Bachelor s degree in Computer Science, Engineering, Media Technology, or related field (or equivalent work experience).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.