Product Manager, Funnel Optimization

This role requires a hybrid schedule in our Charlotte, NC office; Tuesday-Thursday in-office, Monday and Friday remote. This role is not eligible for relocation assistance. Position LendingTree is seeking a Product Manager to lead our experimentation and funnel optimization efforts across digital experiences. This role will be pivotal in enhancing user experiences and driving revenue growth through rigorous A/B and multivariate testing. You will be responsible for managing and scaling a comprehensive experimentation program and working collaboratively with product, marketing, design, engineering, and analytics teams to continuously improve funnel performance and user engagement. A critical component of this role will be balancing deep analysis with creative problem‑solving and exceptional stakeholder management. Key Responsibilities Process Management : Design and oversee end-to-end A/B and multivariate testing strategies, from hypothesis generation to execution and analysis, ensuring statistical rigor and alignment with key business objectives. Create processes to scale experimentation while delivering quick results. Cross-Functional Collaboration & Stakeholder Management : Partner with product, marketing, design, analytics, and business leadership teams to identify, prioritize, and execute experiments that improve the customer journey across digital touchpoints for multiple lines of business. Effectively communicate experiment findings and insights to stakeholders across the organization, including executive leadership. Champion Customer Experience : Identify and advocate for user experience improvements, ensuring that experimentation strategies align with customer needs and pain points while driving business goals such as higher engagement, conversion, and retention. Roadmap & Prioritization : Coordinate across multiple departments to understand needs and opportunities. Develop and manage a rolling, prioritized testing roadmap that is aligned with overarching business and user experience goals. KPI Tracking & Reporting : Ongoing tracking of key performance metrics. Assess experiment effectiveness and provide clear, actionable reporting on test results. Provide regular updates to leadership on the performance of experimentation programs, offering insights to inform product and business strategy. Data-Driven Decision Making : Demonstrated ability to identify areas for improvement within product workflows. Leveraging data and insights to drive measurable enhancements in performance, usability, and customer satisfaction. Mentorship & Team Development : Mentor junior team members, fostering a culture of experimentation and continuous learning with the end user in mind. Help shape the organization’s experimentation practices and evangelize data-driven decision-making across teams. Qualifications 3+ years of experience in product management or experimentation roles, with a strong focus on A/B testing, multivariate experiments, and direct to consumer digital experiences. Bachelor’s degree in Marketing, Business, Data Analytics, or related field. Proven track record of identifying growth opportunities, driving measurable improvements in conversion rates, user engagement, and business metrics through rigorous testing and optimization strategies. Demonstrated ability to move initiatives forward quickly in a fast‑paced, results-oriented environment. Experience with traffic acquisition through multiple digital marketing channels (e.g., paid search, display ads, SEO, social) and media buying strategies. Excellent communication and collaboration skills, with the ability to influence cross‑functional teams and executive stakeholders using data and experiment results. Strong understanding of customer experience principles, the ability to recognize phenomenal design and design experiments with a user-centric focus. Experience with experimentation tools (e.g., Optimizely, VWO, Adobe Target), web analytics platforms (e.g., Google Analytics, Adobe Analytics), and BI tools (e.g., Tableau, PowerBI) all a plus. Familiarity with experimentation methodologies (e.g., Bayesian statistics, multi-arm bandit testing). Advanced data analysis skills with the ability to draw actionable insights from complex datasets and provide clear recommendations to non-technical stakeholders. Experience working in financial services, lead generation, or a similar industry is preferred, but not required. About the Company LendingTree is the nation’s largest online lending marketplace. We connect customers with multiple lenders so they can find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money by giving them a way to shop for loans and compare lenders, so they make their best financial choices. Our founder, Doug Lebda, founded the company in 1996 after a frustrating house-hunting experience. In those days we mostly helped people find good mortgage deals. Now we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more. The base pay range for this position in Seattle, New York, Colorado and California is $120,000–$160,000; the actual offer may vary depending on internal factors, job-related knowledge and experience. Incentive Compensation Eligible for annual performance bonus. Benefits Medical, dental and vision insurance and 401(k) matching. Culture We’re a fast‑paced company with an entrepreneurial bend. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (please wear clothes to work!), and we’re pretty good about rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). LendingTree is the kind of company that not only promotes diversity and inclusion, we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status. #J-18808-Ljbffr LendingTree