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Creative Technology Director Jobs in California (NOW HIRING)

Fuser

Creative Solutions Manager

Los Angeles, CA · On-site

$4.0K - $6.0K/mo

Proven experience in production, creative technology, or SaaS sales * Understanding of how media ... Entrepreneurial energy-self-directed, curious, solutions-oriented * Comfortable running client ...

Woodland School

Technology Director

Portola, CA · On-site

$145K - $175K/yr

Position Overview The Technology Director is responsible for leading the strategic planning ... Supporting Google apps, MS Office, and Adobe Creative Suite. * Understanding of educational ...

Vets Hired

Director, Brand Creative

Cypress, CA · On-site

Job Summary The Director of Brand Creative leads the overall creative vision and execution across ... Stay current with emerging creative technologies, AI tools, and design trends. Qualifications: * 8+ ...

Starz

Creative Director

Santa Monica, CA

$160K - $190K/yr

The Creative Director provides creative leadership in the development of integrated marketing ... Proficiency in Adobe Creative Cloud and current creative technologies, with an understanding of AI ...

New

Netflix

Manager, Creative Innovation

Los Angeles, CA

You will educate, internally and externally, about where this technology matters and where it doesn ... What We're Looking For 10+ years of direct experience in production, post production, or a closely ...

Netflix

Manager, Creative Innovation

Los Angeles, CA · On-site

You will educate, internally and externally, about where this technology matters and where it doesn ... What We're Looking For * 10+ years of direct experience in production, post production, or a ...

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All JobsCreative Technology JobsCreative Technology Director JobsCreative Technology Director Jobs in California

Creative Technology Director information

See California salary details

$42.4K

$127.6K

$213.7K

How much do creative technology director jobs pay per year?

As of Aug 9, 2026, the average yearly pay for creative technology director in California is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a creative technology director?

To thrive as a Creative Technology Director, you need expertise in digital technologies, creative direction, and project management, often supported by a degree in computer science, design, or a related field. Proficiency with development frameworks, design software (like Adobe Creative Suite), and collaboration tools, as well as experience with emerging tech such as AR/VR or AI, is typically required. Strong leadership, communication, and problem-solving skills help foster innovation and guide multidisciplinary teams. These skills and qualities are essential for successfully bridging creative vision and technical execution in fast-evolving digital environments.

What is the difference between Creative Technology Director vs Creative Producer?

AspectCreative Technology DirectorCreative Producer
Primary FocusOversees technological aspects of creative projects, integrating tech solutions into creative conceptsManages the production process, coordinating creative and logistical elements of projects
Required SkillsTechnical expertise, project management, creative visionProject management, client communication, creative planning
Work EnvironmentCollaborates with tech teams, designers, and clients in creative agencies or media companiesWorks closely with creative teams, clients, and vendors in production settings

The Creative Technology Director focuses on integrating technology into creative projects, while the Creative Producer manages the overall production process. Both roles require strong project management skills, but the Director emphasizes technical innovation, whereas the Producer emphasizes coordination and delivery.

What is a creative technology director?

A Creative Technology Director is a professional who blends creative vision with advanced technology to develop innovative digital experiences. They lead teams that work on interactive projects such as websites, apps, installations, and multimedia campaigns, ensuring that both design and technical aspects align with the project's goals. This role requires a strong background in both creative disciplines and technical fields, such as coding, UX/UI design, and digital strategy. Creative Technology Directors often collaborate with clients, designers, developers, and marketing teams to deliver cutting-edge solutions that engage audiences.

How does a creative technology director typically collaborate with both creative and technical teams during project development?

A Creative Technology Director acts as a crucial bridge between creative and technical teams, ensuring that innovative ideas are executed seamlessly using the latest technologies. They work closely with designers, developers, and strategists to translate creative visions into functional digital experiences, often facilitating workshops or brainstorming sessions to align everyone’s goals. Regular communication, prototyping, and collaborative problem-solving are key parts of their role, helping to address challenges early and keep projects on track. This collaborative environment fosters innovation while balancing the practical constraints of technology and timelines.
What are popular job titles related to Creative Technology Director jobs in California? For Creative Technology Director jobs in California, the most frequently searched job titles are:
What job categories do people searching Creative Technology Director jobs in California look for? The top searched job categories for Creative Technology Director jobs in California are:
What cities in California are hiring for Creative Technology Director jobs? Cities in California with the most Creative Technology Director job openings:
Creative Technology Director jobs near you
Infographic showing various Creative Technology Director job openings in California as of July 2026, with employment types broken down into 77% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.

Inference Specialist, Creative Technology - InterPositive

Netflix

Los Angeles, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology and support the Production, Research, and Engineering teams working at the frontier of storytelling innovation. This role owns the practical execution of model inference workflows, translating creative needs into reproducible runs, debugging complex generation issues, and helping build reliable pipelines by turning rapidly evolving research code into reliable creative production workflows.
The ideal candidate is deeply technical, operationally calm, and comfortable working in an R&D environment where models, infrastructure, datasets, and creative expectations change quickly.
Responsibilities:
  • Operate and support custom generative AI inference workflows across a wide variety of film and series projects
  • Run, monitor, and troubleshoot GPU-based inference jobs across local workstations, cloud infrastructure, and/or cluster environments, including distributed multi-GPU runs
  • Prepare and validate inputs for model inference, including video, image, audio, masks, conditioning assets, prompts, metadata, and configuration files
  • Tune inference parameters in collaboration with Creative Technology leadership, artists, researchers, and engineers to achieve production-quality results
  • Debug failed or degraded runs by inspecting logs, outputs, configs, model checkpoints, data shapes, masks, frame ranges, codecs, GPU utilization, and environment issues
  • Maintain clean, repeatable inference launch workflows, including scripts, config templates, run manifests, output naming conventions, and result tracking
  • Partner with researchers and engineers to test new models, checkpoints, samplers, conditioning methods, and pipeline changes in real production scenarios
  • Translate experimental model capabilities into usable production practices
  • Identify friction in inference workflows and drive improvements through tooling, automation, documentation, and better defaults
  • Support rapid iteration with artists and creative stakeholders by preparing outputs for review, comparing variations, tracking parameters, and surfacing clear recommendations
  • Own quality control for generated outputs
  • Help bridge communication between creative, production, research, and engineering teams by explaining technical constraints and creative tradeoffs clearly
  • Maintain awareness of GPU capacity, queue status, runtime expectations
  • Contribute to a culture of practical experimentation: move quickly, test carefully, document learnings, and turn one-off fixes into repeatable workflows

Qualifications:
  • 4+ years of relevant experience in machine learning production, VFX technology, post-production engineering, creative technology, technical direction, or a closely related technical production role
  • Hands-on experience running GPU-based model inference for image, video, audio, or multimodal generative AI systems
  • Experience working with Python-based ML codebases and command-line workflows in Linux environments
  • Experience debugging production runs using logs, stack traces, configuration files, model inputs, and generated outputs
  • Working knowledge of deep learning inference concepts, including checkpoints, schedulers or samplers, seeds, precision, batching, conditioning, and GPU memory constraints
  • Experience with video and image production formats, including frame sequences, ProRes, H.264/H.265, EXR, PNG, MP4/MOV containers, resolution handling, frame rates, and colorspace considerations
  • Experience coordinating technical work across creative, production, research, and engineering stakeholders
  • Demonstrated ability to operate effectively in a fast-moving R&D environment where tools, models, and workflows change frequently

Skills:
  • Strong practical understanding of generative AI inference workflows, especially for video, image, audio, or multimodal models
  • Comfort working in Linux shells, Python environments, Git repos, config files, logs, and GPU infrastructure
  • Strong debugging instincts: able to isolate whether a problem is data, model, environment, code, infrastructure, or user configuration
  • Ability to reason about video and tensor fundamentals, including frame counts, aspect ratios, spatial resolution, temporal alignment, masks, channels, and batch dimensions
  • Experience with tools and libraries commonly used in production ML workflows, such as PyTorch, CUDA, ffmpeg, OpenCV, NumPy, safetensors, and distributed launch tools
  • Comfort with job schedulers, cloud GPU environments, or cluster workflows; Slurm experience is a strong plus
  • Careful eye for generated output quality, including temporal artifacts, mask errors, motion issues, color shifts, compression problems, and sync problems
  • Able to balance creative iteration speed with technical rigor, reproducibility, and clear communication
  • Self-directed and ownership-minded; comfortable seeing a messy problem, creating a path through it, and pulling in help when needed
  • Collaborative and calm under pressure, especially when supporting time-sensitive creative reviews or production deadlines
  • Strong written communication, including the ability to document workflows, summarize test results, and explain technical findings to non-technical partners
  • Comfort with ambiguity, rapidly changing tools, and incomplete information
  • Genuine interest in tooling for filmmakers, with the curiosity to engage deeply with both the creative possibilities and the engineering realities of the work

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $165,000.00 - $265,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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