Senior Manager - Software Engineering

Paramount Pictures; Burbank (CA); On-site; USD 177,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Generous paid time off

Engagement events

Community building opportunities

Job summary

Paramount Pictures is seeking a Senior Manager - Software Engineering to lead the development of AI-powered tooling and internal platforms for the Global Quality Engineering organization. This role involves managing a team of engineers, providing technical direction, and driving the execution of high-impact AI capabilities. Candidates should have over 6 years of software engineering experience with a strong background in backend engineering and AI systems. The position offers a competitive salary range of $177,000 to $220,000 and comprehensive benefits.

Qualifications

• 6+ years of software engineering experience, including 3+ years managing engineers or leading teams.
• Experience building or overseeing AI-powered systems.
• Demonstrated ability to lead teams delivering production-grade internal tools.

Responsibilities

• Lead a high-performing engineering team for AI tooling.
• Define and execute the roadmap for AI-enabled quality engineering tools.
• Oversee delivery of AI-powered services and automation accelerators.

Skills

Software engineering experience

Backend engineering

Cloud platforms (AWS, GCP, Azure)

Kubernetes

CI/CD practices

Strong communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

AI platforms

Internal developer platforms

Job description

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

• 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.

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.

Hiring Salary Range

$177,000.00 - $220,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job‑related factors, including but not limited to geographic location, market demands, experience, training, and education. This position is bonus eligible.

Benefits

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on‑site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Equal Opportunity Employer

Paramount is an equal opportunity employer (EOE) including disability/veteran. Paramount is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and veteran status.

Accommodations

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [e-mail]. Only messages left for this purpose will be returned.