Senior Manager - Software Engineering

Senior Manager - Software Engineering

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
• Technical Strategy & Execution
• Cross-Functional Alignment
• Operational Excellence

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.