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Conversion Rate Optimization Jobs in Seattle, WA

Orkes

Product Manager

Seattle, WA · On-site

$150K - $180K/yr

Continuously monitor and improve conversion rates throughout the user journey. Collaborate with ... and optimization. * Previous exposure to and understanding of product-led growth strategies ...

Orkes

Product Manager

Seattle, WA · Hybrid

$150K - $180K/yr

Continuously monitor and improve conversion rates throughout the user journey. Collaborate with ... and optimization. * Previous exposure to and understanding of product-led growth strategies ...

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Conversion Rate Optimization information

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$6

$71

How much do conversion rate optimization jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for conversion rate optimization in Seattle, WA is $71.13, according to ZipRecruiter salary data. Most workers in this role earn between $71.11 and $71.11 per hour, depending on experience, location, and employer.

What is conversion rate optimization?

A Conversion Rate Optimization (CRO) job involves analyzing user behavior, running A/B tests, and implementing strategies to improve the percentage of website visitors who take a desired action, such as making a purchase or signing up for a newsletter. CRO specialists use data, analytics, and user feedback to identify barriers in the conversion funnel and optimize website elements like landing pages, forms, and calls-to-action. The goal is to enhance user experience and increase conversions without increasing traffic.

What are the key skills and qualifications needed to thrive in conversion rate optimization?

To excel in Conversion Rate Optimization (CRO), you need a solid understanding of digital marketing, data analysis, user experience (UX) principles, and A/B testing methodologies, typically supported by a degree in marketing, statistics, or a related field. Familiarity with CRO tools such as Google Analytics, Optimizely, VWO, and heatmapping software, as well as certifications in analytics or UX, is highly valuable. Strong problem-solving skills, creativity, and effective communication help in interpreting data and collaborating with cross-functional teams. These competencies are crucial for identifying opportunities, implementing meaningful experiments, and driving measurable improvements in conversion rates.

What are the typical challenges faced by professionals in conversion rate optimization, and how can they be addressed?

Professionals in Conversion Rate Optimization often face challenges such as interpreting complex user data, running statistically valid experiments, and balancing various stakeholder priorities. It can take time to achieve meaningful results since significant changes in conversion rates may require multiple iterations of testing and optimization. To address these challenges, strong analytical skills and open communication with marketing, design, and development teams are essential. Many employers also encourage ongoing learning and team collaboration to stay updated with evolving CRO strategies. This collaborative and data-driven environment helps CRO specialists implement effective solutions that drive business growth.

How to become a conversion rate optimization specialist?

To become a conversion rate optimization (CRO) specialist, develop skills in data analysis, user experience design, and A/B testing, often through online courses or certifications. Gaining experience with analytics tools like Google Analytics and testing platforms such as Optimizely enhances your expertise, and building a portfolio of successful projects can improve job prospects.

What does a conversion rate optimizer do?

A conversion rate optimizer analyzes website data and user behavior to identify ways to increase the percentage of visitors who complete desired actions, such as making a purchase or signing up. They use tools like A/B testing and analytics platforms to implement and measure improvements, often collaborating with designers and marketers to enhance user experience and maximize conversions.

What are the most commonly searched types of Conversion Rate Optimization jobs in Seattle, WA?

The most popular types of Conversion Rate Optimization jobs in Seattle, WA are:

What are popular job titles related to Conversion Rate Optimization jobs in Seattle, WA?

For Conversion Rate Optimization jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Conversion Rate Optimization jobs in Seattle, WA look for?

The top searched job categories for Conversion Rate Optimization jobs in Seattle, WA are:

Conversion Rate Optimization jobs near you
Infographic showing various Conversion Rate Optimization job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 19% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $147,943 per year, or $71.1 per hour.

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Amazon

Seattle, WA

$104K - $142K/yr

Full-time

Re-posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As a Senior Applied Scientist specializing in lead scoring and deep learning modeling, you will tackle complex challenges in machine learning and deep learning to redefine how our business engages with customers. You will design and deploy high-impact models that drive customer segmentation, adaptive recommendations, and predictive lead and account prioritization. Leveraging your expertise in deep learning, representation learning, and general modeling, you'll help build solutions that directly influence business outcomes, collaborating with cross-functional teams to turn novel research into scalable, production-grade systems.
Key job responsibilities
* Design and deploy predictive lead scoring models to optimize customer acquisition, conversion, and retention strategies using advanced techniques like survival analysis, graph networks, or transformer-based architectures.
* Architect end-to-end ML pipelines for large-scale deep learning models, including data preprocessing, distributed training, model optimization, and real-time inference.
* Publish research, file patents, and stay ahead of industry trends in the marketing science, propensity modeling, and customer journey prediction domains.
* Innovate in multi-modal modeling (text, graph, behavioral, and temporal data) to enhance scoring accuracy across account and lead levels.
* Conduct rigorous A/B testing, causal inference, and counterfactual analysis to measure model impact and iterate rapidly.
* Collaborate with MLOps engineers to streamline model deployment, monitoring, and retraining using tools like AWS SageMaker, or MLflow and other internal tools.
* Participate in science reviews to raise the science bar in our organization

This includes reviewing your work and the work of others.
* Mentor junior scientists on ML methodology, experimentation design, and production best practices.
* Define offline and online evaluation frameworks; establish success metrics tied to business outcomes (conversion rates, pipeline generation).
About the team
The AWS Marketing Science team builds the ML models and measurement systems that drive marketing decisions across Amazon Web Services. We own incrementality and valuation, ROI measurement, marketing attribution, propensity scoring, account and lead clustering, and next-best-action models. Our work directly influences how AWS allocates marketing spend, targets accounts, and measures effectiveness across billions in pipeline.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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