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Ad Monetization Jobs (NOW HIRING)

Samsung Electronics

Software Engineer

Mountain View, CA · On-site

$150K - $170K/yr

These services, along with a vast partner network and proprietary data, generate a massive opportunity for ad-based monetization. Samsung Ads is a highly successful and fast-growing business that has ...

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Ad Monetization information

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$11

$19

$34

How much do ad monetization jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ad monetization in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.63 per hour, depending on experience, location, and employer.

What is the difference between Ad Monetization vs Ad Operations?

AspectAd MonetizationAd Operations
Primary FocusMaximizing revenue from ad inventoryManaging and optimizing ad campaigns and inventory
Skills RequiredData analysis, ad tech platforms, revenue strategiesCampaign management, ad trafficking, troubleshooting
Work EnvironmentMarketing, product teams, ad tech platformsAd networks, publishers, digital media teams

Ad Monetization focuses on strategies to increase revenue from ads, while Ad Operations handles the execution, management, and optimization of ad campaigns. Both roles are essential in digital advertising but differ in their core responsibilities and skill sets.

What is ad monetization?

Ad monetization refers to the process of generating revenue by displaying advertisements within digital content, such as websites, mobile apps, or videos. Businesses and creators partner with ad networks or platforms to serve ads to their audience, earning money based on impressions, clicks, or other user interactions. Effective ad monetization strategies balance user experience with maximizing revenue by choosing the right ad formats and placements. This practice is common among publishers, app developers, and content creators looking to earn income from their digital properties.

What are some common challenges faced in an Ad Monetization role, and how can they be addressed?

Professionals in Ad Monetization often encounter challenges such as balancing user experience with revenue goals, adapting to frequent changes in ad technology, and navigating complex relationships with multiple ad partners. Addressing these challenges requires staying updated on industry trends, regularly analyzing performance data to optimize placements, and maintaining clear communication with both internal product teams and external partners. Continuous learning and flexibility are key traits for success in this fast-paced environment.

What are the key skills and qualifications needed to thrive as an Ad Monetization Specialist, and why are they important?

To thrive as an Ad Monetization Specialist, you need a solid understanding of digital advertising, analytics, and revenue optimization, often supported by a degree in marketing, business, or related fields. Familiarity with ad serving platforms (like Google Ad Manager), programmatic advertising tools, and data analysis systems is typically required. Strong analytical thinking, communication, and problem-solving skills help you interpret data trends and collaborate with cross-functional teams. These skills are essential for maximizing ad revenue, ensuring optimal user experience, and supporting business growth in a competitive digital landscape.
What are the most commonly searched types of Ad Monetization jobs? The most popular types of Ad Monetization jobs are:
Infographic showing various Ad Monetization job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.
Applied AI Engineer, Advertising Agents

Applied AI Engineer, Advertising Agents

NewsBreak

Mountain View, CA • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

About the Role

Are you looking to engage in AI Account Management algorithm work as an excellent engineer to join our advertising team? In this role, you will be responsible for designing, developing, and optimizing an AI-driven intelligent account hosting and optimization platform. You will utilize LLMs, Multimodal Foundation Models, and related techniques to build AI advertising expert systems (AI Agents) that run a closed optimization loop - autonomously diagnosing accounts and safely auto-tuning delivery.

Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your intelligent operations will maximize advertisers' willingness to spend and platform revenue.

Responsibilities

  • Build In-house AI Account Manager System: Own the algorithm and system design for the core "AI Account Manager" - realizing automated hosting, autonomous optimization, and intelligent scheduling of optimization across many advertiser accounts running concurrently.
  • Construct Intelligent Diagnosis and Strategy Recommendation Models: Analyze advertisers' performance data and delivery history to assess account health and automatically diagnose delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping), then use LLMs to generate and safely execute actionable, auditable account-level tuning strategies.
  • Ensure Reliability and Measurable Quality: Build the long-running services, observability, dry-run safeguards, and offline/online evaluation that keep optimization quality measurable and catch regressions before they reach live spend.
  • Cross-team Collaboration to Drive Growth: Work closely with the platform-side ad delivery algorithm team and product managers to transform AI account management capabilities into the platform's core commercial competitiveness, improving advertiser retention rate and overall consumption.
Minimal Qualifications
  • Education Background: Bachelor's/Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
  • Work Experience:
    • Possess a basic understanding of fields such as ad delivery platforms or recommendation systems; fresh graduates are acceptable.
    • Familiar with building, deploying, and optimizing agentic systems in production environments.
    • Strong software-engineering fundamentals: production-quality code, asynchronous/concurrent programming, typed and data-modeled code, and a solid testing discipline.
  • Core Technical Stack:
    • Master LLMs, RAG, tool-use, memory handling, and agent orchestration (including MCP-style tool ecosystems).
    • Hands-on with harness engineering, structured/schema-validated LLM outputs, and integration with modern model APIs.
    • Experience with REST/API integration and building reliable long-running services; familiar with modern deployment tools such as Kubernetes.
    • Solid grounding in machine learning and AI fundamentals; familiar with advertising or recommendation system concepts.
    • Possess excellent analytical and complex problem-solving abilities.
Preferred Qualifications
  • Industry Background: Algorithm experience in the field of ad delivery, with more than 2 years applying large-model capabilities to systems such as automated delivery, automated hosting, autonomous tuning, or automatic scheduling.
  • AI Production Experience: Experience landing commercial AI agents (agent-based systems), large-model instruction tuning, or multimodal models.
  • Business Acumen: Understanding of digital advertising mechanics and core metrics (CPA, ROAS, CVR, CTR, conversions) and of online A/B experimentation.
What We Offer
  • Technical Hard Power Born for Monetization: Participate in using the most cutting-edge Generative AI and Agent technologies to reshape the B-end ad monetization ecosystem under internet scale.
  • Direct Commercial Impact: Your algorithm and engineering optimizations will directly reflect on the real growth of advertisers and the platform's revenue flywheel.
  • Top-tier Computing Resources and Environment: Access to industry-leading foundation models, large-scale computing infrastructure, and opportunities to work side-by-side with world-class advertising, AI, and infrastructure engineers.
Benefits

We offer a competitive benefits package:

  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget

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