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LendingTree

Online credit marketplace and lead generator

Director of Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeCharlotte, NC, USA

About the Job

Requirements

  • At least 10 years of software engineering experience, including at least 5 years in engineering leadership managing managers or multiple teams.
  • Experience owning consumer-facing product areas end to end, with accountability for delivery and technical health.
  • Architectural judgment across distributed systems, APIs, and modern cloud environments, including the ability to work deeply with senior engineers and set direction.
  • Hands-on experience architecting and scaling integrations with external or third-party systems, including APIs, partner platforms, or data feeds.
  • Experience partnering with Product, Design, and Data Science on personalization, recommendations, or other data-driven consumer features.
  • Experience shipping AI- or machine-learning-powered capabilities into a production customer-facing product, including platform integration, evaluation, guardrails, and monitoring.
  • Hands-on experience driving AI adoption inside an engineering organization through AI-assisted development tooling and agentic workflows, with an evidence-based point of view on how AI changes engineering practice.
  • A track record of building and leading high-performing engineering teams, including hiring, coaching, and performance management.
  • Ability to represent engineering to executives and non-technical stakeholders.
  • Ability to operate with ambiguity and shifting priorities in a fast-moving business.

Responsibilities

  • Lead a multi-team engineering organization; own the roadmap and guide architecture and delivery across a portfolio of consumer-facing products and platforms.
  • Set technical direction and engineering standards for architecture, code quality, testing, observability, and operational excellence, and improve craft and velocity.
  • Balance feature delivery against platform, technical debt, and reliability investment, and make and defend those trade-offs with executive stakeholders.
  • Define and track technical and experience metrics, including uptime, latency, integration health, conversion, and NPS/CSAT, to measure portfolio success.
  • Own the engineering strategy for embedding AI into customer experiences, including personalization, recommendations, assisted and conversational journeys, and intelligent automation across the consumer lifecycle.
  • Build platform capabilities for AI at scale, including model and large language model integration, retrieval and context pipelines, evaluation harnesses, guardrails, observability, and cost controls.
  • Partner with Product and Data Science to move AI capabilities from experiment to production by defining success metrics, evaluation criteria, and paths to full rollout.
  • Apply AI to partner integrations and internal platforms, including document and data extraction, decisioning support, and operational automation.
  • Own the responsible-AI posture for shipped products, including accuracy, explainability, bias, consumer disclosure, and data handling, in partnership with Compliance and Legal.
  • Own the logged-in customer experience, including the account dashboard, offer and product management, and ongoing consumer engagement.
  • Drive strategy and execution for integrations with second- and third-party partners, including lenders, servicers, and data providers, ensuring integrations are secure, resilient, and easy to extend.
  • Own the end-to-end product recommendation experience, including how offers and next-best actions are surfaced, tested, and refined for consumers.
  • Partner with Product, Design, and Analytics to translate consumer insight into a roadmap that improves conversion, engagement, retention, and satisfaction across the customer journey.
  • Hire, coach, and develop engineering managers and senior engineers; own performance management, career growth, and organization design across teams.
  • Represent engineering in cross-functional planning, budgeting, and prioritization, and communicate progress and risk to senior leadership.
  • Partner with Security, Compliance, and Legal to ensure systems and consumer data handling meet financial-services regulatory requirements.

Desired Qualifications

  • Experience in fintech, lending, insurance, or a two-sided marketplace product.
  • Experience leading both product engineering and platform or infrastructure teams.
  • Hands-on familiarity with modern AI development tooling and agentic coding workflows, and with large language model application patterns such as retrieval-augmented generation (RAG), evaluation, prompt engineering, and context engineering.
  • Experience defining governance, security, or quality standards for AI use in a regulated environment.
  • Familiarity with microservices, event-driven architecture, and modern continuous integration and continuous delivery (CI/CD) practices at scale.
  • Experience operating in a regulated environment, including data privacy, PCI, GLBA, or similar requirements.
  • Experience scaling an engineering organization through growth or reorganization.

About the Company

LendingTree

Online credit marketplace and lead generator

LendingTree operates an online marketplace that connects consumers with multiple lenders for loans, credit cards, insurance, and other financial products. Users submit a single form and receive offers from various lenders, then compare rates and terms to choose the best option, with lenders paying a fee for each lead. Unlike single-lender platforms, it provides a wide, multi-lender marketplace in one place for transparent, side-by-side comparisons. The goal is to simplify finding and choosing financial products for individuals while earning revenue from referrals and related services."

Company size
1,001-5,000
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1996

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