Video Operations Manager

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Marketing

This role is for a Video Operations Manager at Snowflake, a company powering the AI Data Cloud. The manager will be responsible for building and scaling the end-to-end operational framework for video production, including intake, prioritization, delivery, archival, and reporting. They will partner with creative leadership to define operating models, establish playbooks, manage intake and capacity planning, and ensure visibility into project status. The role also involves managing operational aspects of budgets, vendor relationships, and KPIs, with a focus on continuous optimization using data and emerging AI-assisted tools. The ideal candidate has extensive experience in video production operations or creative operations, strong stakeholder management skills, and a proactive mindset with curiosity around AI technologies for production workflows.

What you'd actually do

  1. Own and scale the end-to-end operational framework for video production, from intake and prioritization through delivery, archival, and reporting.
  2. Partner closely with the Director of Video Production to define operating models that support creative excellence while enabling scale and predictability.
  3. Establish and maintain a comprehensive Video Operations Playbook, including SOPs, workflow diagrams, role definitions, escalation paths, and quality checkpoints.
  4. Design and manage a centralized intake, traffic, and capacity planning system across internal teams and external vendors.
  5. Maintain real-time visibility into project status, dependencies, resourcing, and risks through dashboards and operational reporting.

Skills

Required

  • 8–12+ years of experience in video production operations, creative operations, or project management within a studio, agency, or corporate environment.
  • Demonstrated success building and scaling operational workflows for creative or media teams.
  • Strong understanding of video and post-production workflows, creative tool ecosystems, and motion graphics pipelines.
  • Proven ability to manage cross-functional stakeholders and drive alignment in fast-paced, matrixed organizations.
  • Excellent written and verbal communication skills, with the ability to translate between creative, operational, and executive audiences.
  • A proactive mindset with curiosity around AI technologies and their application to production workflows and operational efficiency.

Nice to have

  • Experience working in a technology, data, or AI-driven organization.
  • Experience supporting distributed or global creative teams.
  • Familiarity with AI-assisted production workflows or automation tools.
  • Experience managing production budgets, vendor relationships, and licensing compliance.
  • Proficiency with project management and collaboration tools such as Wrike, Workfront, Asana, Jira, and Google Workspace.
  • Bachelor’s degree or equivalent combination of education, training, and experience.

What the JD emphasized

  • AI-native thinkers
  • AI as a high-trust collaborator
  • AI-assisted tools