Director of Engineering

*This role requires a hybrid schedule in our Charlotte, NC office; Tuesday-Thursday in-office, Monday and Friday remote. Additionally, this position does not offer visa sponsorship.* About the Team On the Technology team, you'll turn big ideas into products that are functional, easy to use, and best in class. Our engineers are some of the best and brightest in the business, and we work in a collaborative environment that challenges each of us to raise our own bar. This organization builds the products and platforms behind LendingTree's consumer experience — the marketplace journeys consumers move through, the logged-in account experience they return to, the recommendation and personalization capabilities that guide them, and the integrations that connect LendingTree to the lenders, servicers, and data partners powering it all. About the Role LendingTree is hiring a Director of Engineering to lead a multi-team engineering organization responsible for our consumer-facing products and the platforms behind them. You'll own the engineering strategy, guide architecture and delivery across your portfolio, and you'll be accountable for the technical health, velocity, and reliability of everything your teams ship. This is a broad, highly cross-functional leadership role. You'll partner with Product, Design, Data Science, and Business stakeholders to shape the roadmap, and you'll be a senior voice on how we build — architecture, engineering standards, platform investment, and talent. Your portfolio will include ownership of the logged-in customer experience, our second- and third-party partner integrations, and the recommendation and personalization capabilities that shape what consumers see. Scope will flex over time with business priorities, so we're looking for a leader who can operate well across product areas rather than in a single lane. AI is a core part of this role on both sides of the equation: what we build and how we build it. You'll drive AI into the platforms and customer experiences your teams own — personalization, recommendations, assisted and conversational journeys — and you'll be one of the leaders shaping how our engineers work with AI day to day. Both come with accountability for adoption, quality, and measurable results. You'll lead through engineering managers and senior engineers, set technical direction, and stay close enough to the details to make good calls under ambiguity. What You'll Do Engineering Leadership & Delivery Lead a multi-team engineering organization; own the roadmap, guide architecture, and delivery across your portfolio of consumer-facing products and platforms. Set technical direction and engineering standards — architecture, code quality, testing, observability, and operational excellence — and raise the bar on craft and velocity. Balance feature delivery against platform, tech debt, and reliability investment; make and defend those trade-offs with executive stakeholders. Define and track the technical and experience metrics (uptime, latency, integration health, conversion, NPS/CSAT) that measure success for your portfolio. AI in Our Products & Platforms Own the engineering strategy for embedding AI into the customer experiences your teams build — personalization, recommendations, assisted and conversational journeys, and intelligent automation across the consumer lifecycle. Build the platform capabilities that make AI features viable at scale: model and LLM 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 — defining success metrics, evaluation criteria, and the path to full rollout. Apply AI to make our partner integrations and internal platforms smarter — document and data extraction, decisioning support, and operational automation. Own the responsible-AI posture for what your teams ship: accuracy, explainability, bias, consumer discl…