Manage auto lending sales operations, enhance sales productivity, optimize technology stack, improve processes, and support team development while collaborating with sales and other departments.

The VP of SEO will lead the organic growth strategy, overseeing SEO execution across domains, developing analytics, and driving organizational change while mentoring teams.

The Technical Product Manager will drive platform innovation, improve processes, manage product roadmaps, and analyze product performance in an Agile environment.

The Senior Data Scientist leads data analysis and model development projects, leveraging machine learning to drive insights and solutions. Responsibilities include executing data strategies, developing predictive models, collaborating with teams, ensuring model validity, and guiding junior members in a dynamic environment.

The Compliance Analyst will monitor compliance, manage customer complaints, enhance controls, and ensure alignment with regulations in the fintech sector.

The Compliance Analyst supports regulatory compliance by managing vendor risks, ensuring adherence to regulations, and supporting compliance audits.

The Account Executive will sell LendingTree's customer acquisition products, manage sales pipelines, and develop partnerships within financial verticals.

The Account Executive will manage the sales process for business loans, build relationships with small business owners, and achieve sales quotas.

The Financial Analyst will ensure the accuracy of financial reports, assist in planning, and provide insights into business trends.

Manage a portfolio of existing and previous LendingTree customers, perform high-volume outreach (minimum 50 outbound calls/day), identify additional borrowing needs, achieve sales booking quotas, oversee loan process with support from Renewal Managers, liaise with lending partners, and maintain accurate sales funnel in CRM.

Manage and optimize paid search campaigns across Google and Bing to drive leads and revenue. Own campaign P&L, bidding, targeting, landing page/testing, reporting, and collaborate with product, creative, growth, analytics, and vendors to improve conversion funnels and adopt machine-learning approaches.

The Fraud and Lead Quality Analyst analyzes and manages fraud detection and lead quality assurance programs, providing data-driven insights and improvements across various business units and platforms.

As a Senior Platform Engineer, you'll own complex infrastructure systems, design hybrid cloud solutions, mentor junior engineers, and lead technical initiatives across Azure, AWS, and on-premises environments.

Lead implementation and design of network infrastructure, collaborate with teams, ensure network security, optimize performance, and mentor junior engineers.

The Associate Program Manager will define and execute strategic business programs, coordinate teams, track progress, and drive business outcomes at LendingTree.

The Staff Software Engineer will lead the platform architecture for a financial application, guiding development and ensuring scalability while managing infrastructure and collaborating with stakeholders.

The Business Development Manager is responsible for expanding partnerships, driving prospecting efforts, negotiating agreements, and optimizing partner performance.

The DevOps Engineer supports CI/CD workflows, automation, and documentation to improve software delivery and reliability under guidance from senior engineers. Responsibilities include build support, pipeline upkeep, operational automation, monitoring, and collaboration with other teams.

Design and produce consumer marketing assets (social ads, landing pages, UX) in collaboration with Marketing, Product, and Tech. Lead creative for consumer marketing, create mobile-first designs, maintain brand standards, run rapid ideation and A/B testing, and manage projects from concept to execution while analyzing creative performance.

Operate and automate LendingTree's cloud data platform (Snowflake) by building CI/CD, troubleshooting ETL/streaming (Kafka), integrating with AWS/Azure services, enforcing security and observability, and partnering with data engineering to improve reliability and cost-efficiency.