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Funnel Optimization Jobs (NOW HIRING)

Funnel Optimization: Design, test, and optimize the entire online sales funnel to maximize conversion rates, average order value (AOV), and lifetime value (LTV). * Customer Acquisition: Help the VP ...

Offer strategy, pricing tests, and funnel optimization * Building and leading a high performing growth and creative team * Driving a culture of rapid testing, iteration, and accountability What We ...

Senior Product Marketing Manager

Salt Lake City, UT · Remote

$117K - $153K/yr

You'll own key lifecycle touchpoints, lead conversion funnel optimization and analysis, and ensure we deeply understand and act on customer insights. Funnel & Lifecycle Ownership Own and optimize ...

Offer strategy, pricing tests, and funnel optimization * Building and leading a high performing growth and creative team * Driving a culture of rapid testing, iteration, and accountability What We ...

Lead top of funnel optimization from impression → click → install → trial → subscription and partner with Product team on ensuring new subscribers are high value with a strong CLTV:CAC.

Applicants Must Have Experience In: SEO (Latest best practices and algorithm trends) CRM Database Management and Funnel Optimization PPC Management (Google Ads, Meta Ads, etc.) Email Marketing ...

Applicants Must Have Experience In: SEO (Latest best practices and algorithm trends) CRM Database Management and Funnel Optimization PPC Management (Google Ads, Meta Ads, etc.) Email Marketing ...

Health insurance Applicants Must Have Experience In: SEO (Latest best practices and algorithm trends) CRM Database Management and Funnel Optimization PPC Management (Google Ads, Meta Ads, etc.) Email ...

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Funnel Optimization information

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$16K

$55.8K

$102K

How much do funnel optimization jobs pay per year?

As of Jun 7, 2026, the average yearly pay for funnel 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 the key skills and qualifications needed to thrive as a Funnel Optimization Specialist, and why are they important?

To thrive as a Funnel Optimization Specialist, you need a solid understanding of digital marketing, data analytics, and conversion rate optimization, often supported by experience in A/B testing and a relevant degree. Familiarity with tools like Google Analytics, Optimizely, and marketing automation platforms is typically required, along with certifications such as Google Analytics Individual Qualification (GAIQ). Strong analytical thinking, creativity, and effective communication are crucial soft skills for identifying issues and collaborating across teams. These competencies drive improved customer journeys, increase conversions, and maximize ROI for marketing efforts.

What is funnel optimization?

Funnel optimization is the process of analyzing and improving each stage of the customer journey, or 'funnel,' to increase the number of users who complete a desired action, such as making a purchase or signing up for a newsletter. This involves identifying where potential customers drop off and implementing strategies—like A/B testing, improved messaging, or simplified navigation—to reduce friction and boost conversions. Funnel optimization helps businesses maximize the effectiveness of their marketing and sales efforts, resulting in higher revenue and better customer experiences.

What is the difference between Funnel Optimization vs Conversion Rate Optimization?

AspectFunnel OptimizationConversion Rate Optimization
FocusOptimizing entire sales or marketing funnels from awareness to purchaseImproving the percentage of visitors who take a desired action on a specific page
ScopeBroader, includes multiple touchpoints and stagesMore focused on specific pages or steps
MetricsFunnel drop-off rates, lead generation, sales volumeConversion rates, bounce rates, engagement metrics
Tools & TechniquesCustomer journey analysis, A/B testing across funnel stagesA/B testing, user behavior analysis, heatmaps

While both roles aim to improve user actions and business outcomes, Funnel Optimization focuses on enhancing the entire customer journey across multiple stages, whereas Conversion Rate Optimization concentrates on increasing conversions on specific pages or steps. Understanding these differences helps businesses allocate resources effectively for maximum growth.

What are the most common challenges faced by funnel optimization specialists when working with cross-functional teams?

Funnel optimization specialists often collaborate with marketing, sales, product, and analytics teams to improve user journeys and conversion rates. One common challenge is aligning priorities and strategies across departments, as each team may have different goals and success metrics. Effective communication and data sharing are essential to ensure everyone is working toward the same objectives. Additionally, navigating technical constraints or limited resources can require creative problem-solving and flexibility. Building strong relationships and maintaining transparency can help overcome these obstacles and lead to more successful funnel improvements.
Infographic showing various Funnel Optimization job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 89% Full Time, 4% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $55,794 per year, or $26.8 per hour.

Project Manager - Funnel Analytics & Optimization

Inizio Partners Corp

San Diego, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Roles & Responsibilities:

As the Project Manager – Funnel Analytics & Optimization, you will own end-to-end funnel analytics across acquisition, application, underwriting, and funding for a small-business lending portfolio. You will identify friction points and operational bottlenecks, design measurement frameworks, and run test-and-learn experiments to improve conversion, cycle time, and customer outcomes—while maintaining strong risk discipline. You will partner with client and internal stakeholders across Risk, Operations, Product, Engineering, and AI teams to translate insights into scalable process changes, automation, and AI-agent solutions.

  • Analyze end-to-end funnel performance across acquisition, application, underwriting, and funding stages to identify conversion trends and structural inefficiencies
  • Design and maintain analytical frameworks to monitor funnel health, conversion rates, and customer drop-off patterns
  • Identify root causes of customer attrition and dropout at each funnel stage using quantitative analysis and cohort-based methodologies
  • Drive a statistical approach to assessing information value of each funnel step v customer attrition and drop out
  • Support test-and-learn initiatives, including A/B testing and controlled experiments, to measure the impact of funnel optimization efforts
  • Partner closely with process owners & AI team to deploy automation and AI agent solutions to fundamentally enhance funnel efficiency
  • Deploy game theory or other relevant statistical frameworks to enhance take up rate of client offers by channel partner
  • Partner with Operations, Underwriting, and Product teams to design and evaluate strategies that reduce customer friction and improve completion rates
  • Develop segmentation and behavioral analyses to identify populations with elevated dropout risk or conversion opportunity
  • Translate analytical findings into clear, actionable recommendations for senior leadership and cross-functional partners
  • Monitor post-implementation results to ensure sustained improvement and surface second-order impacts on risk, cost, and customer experience

Candidate Profile:

  • 7+ years of relevant experience in analytics or data science within fintech, financial services, or a data-driven consumer or B2B environment
  • Hands-on experience analyzing customer funnels, conversion metrics, or operational workflows
  • Demonstrated experience partnering with operations or frontline teams to translate analytics into execution
  • Experience supporting experimentation, measurement, and performance monitoring in production environments
  • Funnel and conversion analytics
  • Cohort analysis and customer journey analysis
  • Drop-off and attrition modeling
  • Experimentation and A/B testing
  • Statistical analysis and hypothesis testing
  • Cross-functional analytical storytelling
  • Strong SQL and Python (or R) proficiency; ability to work with large datasets and build reproducible analytical workflows.
  • Excellent communication, presentation, and story-building skills in a consulting/client-facing setup.
  • Demonstrated ability to lead cross-functional initiatives end-to-end and coordinate with offshore delivery teams.
  • Bachelor's degree in related quantitative fields such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering required.