Senior Manager, AI Tooling and Quality Engineering Platforms

This is a Full Time Job

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Job Title: Senior Manager - Software Engineering (AI Tooling & Quality Engineering Platforms)
Team: Global Quality Engineering (GQE)
Location: New York City, Los Angeles, San Francisco

Overview
Paramount Skydance Corp. is seeking a Senior Manager, Software Engineering to lead a team of engineers building AI-powered tooling, internal platforms, and intelligent automation systems that support the Global Quality Engineering organization. This is not an “in test” role – your team will build production-grade software, AI platforms, and developer tools that transform how GQE engineers test, triage, analyze, and deliver quality at scale.

You will manage a team that includes Software Engineers, Senior Engineers, Staff Engineers, and potentially a Principal Engineer. You will provide technical direction, drive execution, develop talent, and partner with cross-functional leaders to deliver high-impact AI capabilities across brands and engineering pillars. This role requires a blend of proficient engineering leadership, architectural judgment, people management, and the ability to drive organizational change through AI-enabled tooling.

Key Responsibilities

Team Leadership & People Management
• Lead, mentor, and grow a high-performing engineering team responsible for AI tooling and internal platforms.
• Provide coaching, career development, and performance management for engineers across multiple levels.
• Foster a culture of technical excellence, psychological safety, and continuous improvement.
• Drive hiring, onboarding, and talent development to scale the team successfully.

Technical Strategy & Execution
• Define and execute the roadmap for AI-enabled quality engineering tools and platforms.
• Partner with Principal and Staff Engineers to set architectural direction and ensure technical rigor.
• Oversee delivery of AI-powered services, RAG pipelines, developer tools, and automation accelerators.
• Ensure systems are reliable, scalable, observable, and aligned with enterprise engineering standards.

Cross-Functional Alignment
• Collaborate with QE leadership, Platform Engineering, Data Engineering, Playback/Video Engineering, and Product to identify high-value opportunities for AI tooling.
• Translate organizational needs into clear technical requirements and team priorities.
• Communicate progress, risks, and outcomes to senior leadership with clarity and precision.

Operational Excellence
• Establish engineering best practices, coding standards, and quality gates for the team.
• Ensure predictable delivery through effective planning, estimation, and execution.
• Drive continuous improvement in development velocity, reliability, and operational maturity.
• Manage budgets, vendor relationships, and resource allocation as needed.

Required Qualifications
• 6 years of software engineering experience, including 3 years managing engineers or leading teams.
• Strong background in backend engineering, distributed systems, or platform development.
• Experience building or overseeing AI-powered systems (LLMs, RAG pipelines, embeddings, automation accelerators).
• Demonstrated ability to lead teams delivering production-grade internal tools or platforms.
• Strong communication skills and ability to influence across engineering and product organizations.
• Experience with cloud platforms (AWS, GCP, Azure), Kubernetes, and modern CI/CD practices.

Preferred Qualifications
• Experience managing teams that build internal developer platforms or productivity tooling.
• Familiarity with quality engineering workflows, automation frameworks, or large-scale testing systems.
• Experience working in media/streaming, distributed playback systems, or device-level environments.
• Prior experience partnering with Staff/Principal engineers to drive architectural strategy.

Key Competencies
• People Leadership – develops talent, builds proficient teams, and drives accountability.
• Technical Judgment – makes sound architectural decisions and guides engineers successfully.
• Strategic Thinking – aligns team execution with organizational priorities and long-term vision.
• Cross-Functional Influence – builds trust and alignment across engineering, product, and QE.
• Operational Excellence – ensures predictable delivery, reliability, and continuous improvement.
• AI Fluency – understands where AI adds value and how to operationalize it at scale.

Success Metrics
• Delivery of high-impact AI tooling adopted across GQE and partner engineering teams.
• Measurable improvements in automation signal quality, triage efficiency, and engineering productivity.
• Strong team health, retention, and career progression across engineering levels.
• Clear roadmap and predictable execution of AI platform initiatives.
• Increased cross-pillar alignment and reduction of duplicated tooling or fragmented workflows.
• Demonstrated uplift in engineering maturity, reliability, and operational excellence.

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