Director, Software Engineering & Media Automation

Responsibilities

• AI & Agentic Systems Architect and build spec-driven automation frameworks tailored to media workflows — including MAM, content ingest, transcoding pipelines, broadcast operations, and live streaming infrastructure.
• Define and own AI software engineering roadmap for media and broadcast automation, evolving the organization’s capabilities from AI-assisted development toward fully autonomous, agent-driven workflows.
• Evaluate and adopt emerging AI tools, models, and frameworks (e.g., Claude, OpenAI, open-source agents) and drive their integration into real-world media production and delivery systems.
• Collaborate with product, editorial, and broadcast operations teams to identify high-value automation opportunities and translate them into scalable AI-powered services.

Requirements

• Proven track record leading and managing engineering teams of 4+ people, including hiring, performance management, and career development across multiple levels.
• Excellent communication and stakeholder management skills with the ability to influence technical direction and build alignment across engineering, product, and business leaders.
• Experience building and scaling teams in fast-moving, high-stakes environments (media, broadcast, live events, or adjacent industries a plus).
• Demonstrated ability to execute on a technical vision and managing the day-to-day realities of team delivery.

Qualifications

• Hands-on experience designing, building, or deploying systems with the use of AI agents, LLM-powered automation, or spec-driven workflow architectures.
• Deep familiarity with the modern AI tooling ecosystem — including LLM APIs (Anthropic, OpenAI), agent frameworks, and AI-assisted developer tools (Claude Code, Cursor, Codex).
• Experience integrating AI capabilities into media technology contexts (MAM, transcoding, broadcast automation, streaming pipelines, or metadata enrichment) is a significant plus.

Skills

• Hands-on proficiency with AI development tooling and frameworks — including LLM APIs (Anthropic, OpenAI) and AI-assisted coding tools (e.g., Claude Code, GitHub Copilot).
• Deep, hands-on expertise designing, securing, building, and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps).
• Extensive experience with AWS architecture and services (IAM, EC2, ECS, Lambda, S3, CodeBuild/Pipeline).
• Hands-on proficiency building secure automation and tooling using JavaScript/TypeScript or equivalent languages.
• Experience working with containerization technologies (Docker, Kubernetes) and Linux environments.
• Familiarity with media technology stacks: video streaming protocols (HLS, DASH), media asset management systems, broadcast infrastructure, or live event delivery platforms a plus.

Benefits

• $179,000.00-274,000.00 annually.
• Annual discretionary bonus.
• Variety of benefits including medical/dental/vision insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

Pay

• $179,000.00-274,000.00 annually.

Schedule

• Full-time.