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Ab Testing Jobs (NOW HIRING)

Conducting unit testing and analyzing the results * Tuning Ab-Initio graphs by converting serial data flows into Multi File System to improve the performance for the Ab Initio graphs * Optimizing the ...

Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, metrics design, generative analytics, data mining, and more.","responsibilities ...

... testing and analyzing the results • Tuning Ab-Initio graphs by converting serial data flows into Multi File System to improve the performance for the Ab Initio graphs • Optimizing the Ab-Initio ...

Ab Initio Developer Job Location: Tampa, FL, USA, 33610 Work Model: Hybrid Work Model Details ... The role involves designing, developing, testing, optimizing, and supporting complex data pipelines ...

New

Data Scientist

Cupertino, CA · On-site

$141K - $258K/yr

Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more.","responsibilities":"Build data ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

Modeling and developing scalable, efficient, automated data analysis, AB testing, machine learning, validation, and service frameworks. * Collaborating with product managers and data engineers to ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

Modeling and developing scalable, efficient, automated data analysis, AB testing, machine learning, validation, and service frameworks. * Collaborating with product managers and data engineers to ...

Perform unit testing UAT and AB testing within journeys to ensure optimal performance * Monitor journey performance trouble shoot issues and optimize for KPIs eg engagement conversion * Ensure ...

Digital Data Analyst

Plano, TX · On-site

$99K - $115K/yr

Familiarity with AB testing platforms and tools (e.g., Optimizely, Google Optimize) * Exceptional advocacy and consensus building skills to drive adoption of data driven initiatives * Excellent ...

New

Experience using any AB testing tool or method (i.e. Adobe Test and target, Unbounce, VWO...) Use of Vector applications (Illustrator or Fireworks) Experience with Agile development methodology ...

Serve as developer of key DTC analytical models like customer lifetime value, attribution, churn, and AB testing * Own end-to-end model development, from scoping → exploration → feature ...

Senior Ab Initio Developer - Hybrid (Jacksonville, FL) ARC Group has an immediate opportunity for ... Informatica, Mulesoft, Talend, Datastage, SSIS) * Experience with testing methodologies with the ...

Product Design Lead

New York, NY · On-site +1

$169K - $208K/yr

Familiarity with ecommerce and AB testing within AB testing * Familiarity with the Shopify ecosystem * Familiarity with accessibility design * Experience building decks for executive stakeholders

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How much do ab testing jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for ab testing in the United States is $25.78, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $31.49 per hour, depending on experience, location, and employer.

What are typical day-to-day responsibilities for someone working in AB Testing?

In an AB Testing role, your daily tasks often include designing experiments, selecting target user segments, setting up test variants, and monitoring test performance using analytics platforms. You'll collaborate closely with product managers, designers, developers, and marketers to ensure test hypotheses align with business objectives and technical feasibility. A significant part of your time is dedicated to analyzing results, interpreting data, preparing reports, and sharing actionable insights with stakeholders. This role provides a mix of independent analysis and team-oriented problem-solving, making it both analytical and collaborative.

What are the key skills and qualifications needed to thrive in the Ab Testing position, and why are they important?

To thrive in an AB Testing role, candidates generally need strong analytical skills, a solid understanding of statistics, and experience designing and interpreting controlled experiments. Familiarity with tools like Google Optimize, Optimizely, VWO, or Adobe Target, as well as proficiency in Excel, SQL, or statistical programming languages such as R or Python, is highly valued. Strong attention to detail, clear communication, and critical thinking skills help professionals collaborate with cross-functional teams and explain findings to non-technical stakeholders. These competencies ensure that experiments are effective, insights are actionable, and business goals are met through data-driven decision-making.

What is an A/B Testing job?

An A/B Testing job involves designing, executing, and analyzing controlled experiments to compare two or more variations of a webpage, email, or other digital assets. Professionals in this role use statistical methods to determine which version performs better based on key metrics like conversion rates or user engagement. They work with marketing, product, and data teams to optimize user experiences and business outcomes. Strong analytical skills, proficiency in A/B testing tools, and knowledge of statistical methodologies are essential for success in this role.

More about Ab Testing jobs
What cities are hiring for Ab Testing jobs? Cities with the most Ab Testing job openings:
What are the most commonly searched types of Ab Testing jobs? The most popular types of Ab Testing jobs are:
What states have the most Ab Testing jobs? States with the most job openings for Ab Testing jobs include:
Infographic showing various Ab Testing job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $53,613 per year, or $25.8 per hour.

Associate Product Manager

Purple Drive Technologies

Phoenix, AZ • On-site

Full-time

Posted 15 days ago


Job description

Overview:
Product Manager
• 1. Personalization Strategy
• Define and execute product roadmap for personalization initiatives.
• Design customer segmentation and targeting strategies using behavioral, transactional, and contextual data.
• Partner with Data Science to implement ML-driven recommendations and adaptive experiences.
• Drive experimentation (A/B testing, multivariate testing) to optimize engagement, retention, and conversion.
• Define KPIs for personalization effectiveness (CTR, LTV, churn, engagement lift, etc.).
• 2. Product Storytelling & Vision
• Craft compelling product narratives for internal stakeholders, sales teams, and executives.
• Translate technical capabilities (AI/ML models, recommendation engines) into business value stories.
• Create clear, outcome-driven product briefs and PRDs.
• Present roadmap and business cases with strong executive storytelling.
• Support GTM with differentiated positioning around personalized experiences.
• 3. Cross-Functional Leadership
• Collaborate with Engineering, Design, Data Science, Marketing, and Sales.
• Drive alignment between technical implementation and customer experience vision.
• Prioritize features balancing business value, feasibility, and user impact.
• Influence without authority in matrixed environments.
• 4. Customer & Data Insights
• Conduct user research and analyze usage data to identify personalization opportunities.
• Build customer journey maps and define trigger-based experiences.
• Leverage qualitative and quantitative insights to refine product direction.
• 5-10+ years of Product Management experience.
• Proven experience building personalization features (recommendation engines, dynamic content, segmentation, behavioral triggers).
• Strong understanding of analytics, experimentation frameworks, and data interpretation.
• Exceptional storytelling and executive presentation skills.
• Experience working with Data Science and ML teams.
• Strong business acumen and customer-centric mindset.
Role Descriptions: 1. Personalization StrategyDefine and execute product roadmap for personalization initiatives.Design customer segmentation and targeting strategies using behavioral| transactional| and contextual data.Partner with Data Science to implement ML-driven recommendations and adaptive experiences.Drive experimentation (AB testing| multivariate testing) to optimize engagement| retention| and conversion.Define KPIs for personalization effectiveness (CTR| LTV| churn| engagement lift| etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders| sales teams| and executives.Translate technical capabilities (AIML models| recommendation engines) into business value stories.Create clear| outcome-driven product briefs and PRDs.Present roadmap and business cases with strong executive storytelling.Support GTM with differentiated positioning around personalized experiences.3. Cross-Functional LeadershipCollaborate with Engineering| Design| Data Science| Marketing| and Sales.Drive alignment between technical implementation and customer experience vision.Prioritize features balancing business value| feasibility| and user impact.Influence without authority in matrixed environments.4. Customer Data InsightsConduct user research and analyze usage data to identify personalization opportunities.Build customer journey maps and define trigger-based experiences.Leverage qualitative and quantitative insights to refine product direction.
Essential Skills: 1. Personalization StrategyDefine and execute product roadmap for personalization initiatives.Design customer segmentation and targeting strategies using behavioral| transactional| and contextual data.Partner with Data Science to implement ML-driven recommendations and adaptive experiences.Drive experimentation (AB testing| multivariate testing) to optimize engagement| retention| and conversion.Define KPIs for personalization effectiveness (CTR| LTV| churn| engagement lift| etc.).2. Product Storytelling VisionCraft compelling product narratives for internal stakeholders| sales teams| and executives.Translate technical capabilities (AIML models| recommendation engines) into business value stories.Create clear| outcome-driven product briefs and PRDs.Present roadmap and business cases with strong executive storytelling.Support GTM with differentiated positioning around personalized experiences.3. Cross-Functional LeadershipCollaborate with Engineering| Design| Data Science| Marketing| and Sales.Drive alignment between technical implementation and customer experience vision.Prioritize features balancing business value| feasibility| and user impact.Influence without authority in matrixed environments.4. Customer Data InsightsConduct user research and analyze usage data to identify personalization opportunities.Build customer journey maps and define trigger-based experiences.Leverage qualitative and quantitative insights to refine product direction.
Desirable Skills:
Keyword:
Skills: Product Management
Experience Required: