ZipRecruiter

Log In

1

Youtube Optimization Jobs (NOW HIRING)

Alux Inc.

YouTube Video Editor

West Hollywood, CA · On-site

Strong understanding of YouTube algorithms, SEO, and audience engagement strategies. * Ability to work under tight deadlines and manage multiple projects simultaneously. * Creative mindset with ...

bav

Social Media Strategist, B&H Creators

Manhattan, NY · On-site

Knowledge of SEO, YouTube optimization, and content discoverability. Experience using social media scheduling, publishing, and analytics platforms such as Sprout Social, Hootsuite, Later, Buffer, or ...

MFI Technologies Incorporated

$77K - $143K/yr

Fluency in YouTube analytics, A/B testing, packaging optimization and performance interpretation. * Deep familiarity with successful YouTube formats and niches beyond hard news, and an understanding ...

National Association for Stock Car Auto Racing (NASCAR)

Proven track record of growing YouTube channels through audience-first programming, platform-native storytelling, SEO optimization, and data-driven decision making. * Deep understanding of YouTube ...

National Association for Stock Car Auto Racing (NASCAR)

NY · On-site

Proven track record of growing YouTube channels through audience-first programming, platform-native storytelling, SEO optimization, and data-driven decision making. * Deep understanding of YouTube ...

Corporate Tools

YouTube Channel Manager

Post Falls, ID · On-site +1

$90K/yr

Take full ownership of our YouTube channel: content strategy, scheduling, optimization, community engagement, and growth. * Ideate video topics aligned with company goals, audience needs, and product ...

previous page

Showing results 41-60

All JobsBusiness JobsYoutube Optimization Jobs

Youtube Optimization information

See salary details

$16K

$55.8K

$102K

How much do youtube optimization jobs pay per year?

As of Sep 13, 2026, the average yearly pay for youtube optimization in the United States is $55,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $72,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced in a YouTube Optimization role, and how can they be addressed?

Professionals in YouTube Optimization often encounter challenges such as adapting to frequent algorithm changes, staying ahead of evolving content trends, and ensuring consistent audience engagement. Addressing these hurdles involves regularly analyzing channel analytics, experimenting with SEO strategies like keyword-rich titles and tags, and staying updated with YouTube’s best practices. Collaborating closely with content creators and marketing teams is also essential to align optimization strategies with overall brand goals and audience interests.

What are the key skills and qualifications needed to thrive as a YouTube Optimization specialist, and why are they important?

To thrive as a YouTube Optimization Specialist, you need expertise in digital marketing, SEO strategies, video analytics, and content strategy, often supported by experience with online platforms and relevant certifications. Familiarity with tools like YouTube Analytics, TubeBuddy, vidIQ, and Google Trends is essential for analyzing performance and optimizing content. Creativity, attention to detail, and strong communication skills make someone stand out by enabling effective audience engagement and data-driven decision-making. These skills and qualities are crucial for maximizing channel growth, reaching target audiences, and achieving long-term success on the platform.

What is the difference between Youtube Optimization vs Video SEO Specialist?

AspectYoutube OptimizationVideo SEO Specialist
CredentialsBasic digital marketing knowledge, certifications like YouTube Creator AcademySEO certifications, digital marketing background
Work EnvironmentPrimarily online, content creation platformsDigital marketing agencies, in-house marketing teams
Industry UsageFocused on YouTube platformBroader video platforms and search engines
Search & Comparison IntentOptimizing YouTube videos for visibilityOptimizing videos for search engines like Google

Youtube Optimization specifically targets improving video visibility on YouTube through platform-specific strategies. In contrast, a Video SEO Specialist works on optimizing videos across multiple platforms and search engines, focusing on broader search visibility. Both roles require digital marketing skills but differ in scope and platform focus.

Is there such a job as a YouTube optimization specialist?

Yes, a YouTube optimization specialist is a recognized role focused on improving video visibility, engagement, and search rankings through strategies like keyword research, metadata optimization, and analytics analysis. This position often requires knowledge of YouTube's algorithm, content trends, and tools such as YouTube Studio and analytics platforms.

What is YouTube optimization?

YouTube optimization involves improving video content, titles, descriptions, tags, and thumbnails to increase visibility and engagement on the platform. It also includes analyzing analytics and applying SEO strategies to rank higher in search results and recommendations. Skills in keyword research and familiarity with YouTube's algorithm are essential for effective optimization.

What other helpful pages are available for Youtube Optimization?

Other pages related to Youtube Optimization:

Infographic showing various Youtube Optimization job openings in the United States as of September 2026, with employment types broken down into 61% Full Time, 22% Part Time, and 17% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $55,794 per year, or $26.8 per hour.

Staff Software Engineer, YouTube Ads Marketplace Optimization

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees
Learn more about Google Inc.external

Other

Posted 26 days ago

Key responsibilities

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

  • Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

  • Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

Job description

Staff Software Engineer, YouTube Ads Marketplace Optimization

Mountain View, CA, USA

Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
  • 5 years of experience with ML design and ML infrastructure (model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred Qualifications
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross‑functional or cross‑business projects.
About the Job

Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact. As a staff software engineer on the YouTube Ads Marketplace Optimization team, you will lead a team of ML/AI/SW engineers to grow the YouTube Ads business by building user‑interest models and recommendation systems that align ads with user interests. You will design, develop, and deploy large‑scale AI systems that model commercial interests using Google‑wide data sources approved for advertising purposes, support multi‑task learning across surfaces, and enable downstream tasks such as retrieval, user action prediction, and knowledge distillation.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $207 000 – $301 000 (USD) + 20% bonus target + equity + benefits

Responsibilities
  • Design, develop, test, deploy, maintain, and enhance large‑scale software solutions.
  • Provide technical leadership on high‑impact projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy.

#J-18808-Ljbffr

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply