Senior Manager - Software Engineering

Paramount•Burbank, CA

11d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.