Full-Time

Director of Engineering

LendingTree

LendingTree

1,001-5,000 employees

Online credit marketplace and lead generator

Compensation Overview

$200k - $250k/yr

+ 401(k) match

No H1B Sponsorship

Charlotte, NC, USA

Hybrid

Tuesday through Thursday are in-office; Monday and Friday are remote.

Category
Engineering Management (1)
Required Skills
LLM
Distributed Systems
Data Science
RAG
Microservices
Observability
DevOps

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Requirements
  • The candidate must have 10 or more years of software engineering experience, including 5 or more years in engineering leadership managing managers or multiple teams.
  • The candidate must have experience owning consumer-facing product areas end to end, with accountability for delivery and technical health.
  • The candidate must demonstrate strong architectural judgment across distributed systems, application programming interfaces, and modern cloud environments.
  • The candidate must have hands-on experience architecting and scaling integrations with external or third-party systems, including application programming interfaces, partner platforms, or data feeds.
  • The candidate must have experience partnering with Product, Design, and Data Science on personalization, recommendations, or other data-driven consumer features.
  • The candidate must have experience shipping artificial intelligence or machine-learning-powered capabilities into a production, customer-facing product, including integration, evaluation, guardrails, and monitoring.
  • The candidate must have hands-on experience driving artificial intelligence adoption inside an engineering organization through artificial-intelligence-assisted development tooling and agentic workflows.
  • The candidate must have a track record of building and leading high-performing engineering teams, including hiring, coaching, and performance management.
  • The candidate must be comfortable representing engineering to executives and non-technical stakeholders.
  • The candidate must be comfortable operating with ambiguity and shifting priorities in a fast-moving business.
Responsibilities
  • Lead a multi-team engineering organization and own the roadmap, 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.
  • Balance feature delivery against platform investment, technical debt, and reliability investment, and defend those trade-offs with executive stakeholders.
  • Define and track technical and experience metrics, including uptime, latency, integration health, conversion, NPS, and CSAT.
  • Own the engineering strategy for embedding artificial intelligence into customer experiences, including personalization, recommendations, assisted and conversational journeys, and intelligent automation.
  • Build platform capabilities for artificial-intelligence features 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 artificial-intelligence capabilities from experiment to production by defining success metrics, evaluation criteria, and rollout plans.
  • Apply artificial intelligence to partner integrations and internal platforms, including document and data extraction, decisioning support, and operational automation.
  • Own the responsible-artificial-intelligence posture for shipped systems, 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 customer engagement.
  • Drive the strategy and execution for integrations with lenders, servicers, and data providers, ensuring they are secure, resilient, and extensible.
  • Own the product recommendation experience end to end, including how offers and next-best actions are surfaced, tested, and refined.
  • Partner with Product, Design, and Analytics to translate consumer insight into a roadmap that improves conversion, engagement, retention, and satisfaction.
  • Hire, coach, and develop engineering managers and senior engineers, and own performance management, career growth, and organizational design.
  • 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 regulatory requirements in financial services.
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 artificial-intelligence development tooling, agentic coding workflows, and large language model application patterns such as retrieval-augmented generation, evaluation, prompt engineering, and context engineering.
  • Experience defining governance, security, or quality standards for artificial intelligence in a regulated environment.
  • Familiarity with microservices, event-driven architecture, and modern continuous integration and continuous delivery practices at scale.
  • Experience operating in a regulated environment involving data privacy, payment card industry requirements, the Gramm-Leach-Bliley Act, or similar standards.
  • Experience scaling an engineering organization through growth or reorganization.

LendingTree is 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 multiple offers to compare rates and terms, with lenders paying LendingTree for each lead. It differentiates itself by offering a wide, multi-lender marketplace in one place, enabling transparent comparison rather than pushing a single lender. Its goal is to help individuals find favorable terms on financial products while earning revenue from referrals and related services.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Charlotte, North Carolina

Founded

1996

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 revenue rose 25% to $313.4 million; insurance revenue jumped 42%.
  • Operating expenses were flat year over year, helped by AI-driven workflow automation.
  • Net leverage fell to 1.9x, giving management room for buybacks, repayment, or acquisitions.

What critics are saying

  • Insurance drove Q2 2026 growth; mortgage and small-business softness still pressured guidance.
  • Google search arbitration exposes a decade of dependence on paid traffic, with uncertain recovery.
  • Doug Lebda’s October 2025 death leaves Scott Peyree carrying LendingTree’s strategic transition.

What makes LendingTree unique

  • LendingTree’s marketplace spans mortgages, insurance, personal loans, and cards, diversifying acquisition channels.
  • August 4, 2026 ChatGPT mortgage plug-in positions LendingTree inside conversational shopping workflows.
  • Its quote-comparison database and AI-generated offer overviews sharpen consumer decisioning across lenders.

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Benefits

Comprehensive medical, vision and dental plans that include options for a pre-tax health savings account or flexible spending account, and an expansive network of doctors and hospitals best suited to meet your healthcare needs.

Mental health support services offering access to counseling, crisis intervention and virtual therapy.

A wellness discount on medical plan payroll deductions, plus reimbursement for your favorite healthy activities.

In-person or remote training with our fitness coordinator, along with a ton of workout challenges that will sweat you into shape.

Your choice of four different life insurance plans with 100% company-paid short-term and long-term disability insurance.

Market-competitive salaries.

Potential for biannual performance-based bonuses.

Annual grants of company stock that fully vest in just three years.

401(k) retirement savings plan with a company match.

Flexible Paid Time Off so you can take the time you need to refocus and recharge.

Ongoing career development and leadership training.

Awards and recognition for employees doing outstanding work.

Insightful career pathing so you can chart your growth here and beyond.

Tuition reimbursement if you decide to continue your education.

A culture ambassador program for high-performing employees who rep our culture the best.

Employee-led interest groups that focus on community service, diversity and inclusion, technology and more.

Paid maternity and paternity leave.

Up to $10,000 reimbursement for adoption-related expenses.

On-demand maternity, postpartum and return-to-work support and access to 24/7 virtual care for employees and their partners.

Company-funded IVF/IUI treatments after standard cost sharing is applied.

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

0%
Yahoo Finance
Aug 8th, 2026
LendingTree reports 25% revenue growth and 11% adjusted EBITDA increase in Q2 2026

LendingTree reported strong second quarter 2026 results, with revenue up 25% year-over-year and adjusted EBITDA rising 11% year-over-year. Chief executive Scott Peyree highlighted that the company has roughly doubled both revenue and adjusted EBITDA from 2023 to 2026. The insurance business drove growth, with revenue climbing 42% and segment profit increasing 25% year-over-year on robust carrier demand. The Home segment also performed well, posting 9% revenue growth year-over-year and 13% sequential segment profit growth. Peyree noted that adjusted EBITDA as a percentage of variable marketing dollars improved 225 basis points to 40%, moving towards the company's long-term target of 45% to 50%. He emphasised that LendingTree's diverse product portfolio has enabled consistent growth despite challenges in the mortgage sector caused by elevated interest rates.

eMarketer
Aug 5th, 2026
LendingTree tests ChatGPT as a new channel for mortgage customer acquisition.

LendingTree tests ChatGPT as a new channel for mortgage customer acquisition. The news: LendingTree has announced the launch of a ChatGPT plug-in that lets consumers explore mortgage and refinance rates through natural-language conversations. Zooming in: The app is designed only for the research phase of the mortgage journey, as it does not provide lender-specific quotes, preapprovals, or financial advice. Consumers can input details such as their credit score, state, and loan amount to understand how each factor influences rates. They can then click through to LendingTree's marketplace to compare personalized offers from its network of lenders. Why it matters: LendingTree is among the first major financial providers to publicly launch a consumer-facing ChatGPT app for mortgage shopping, making it an early mover in what could become a new distribution channel for financial services. While the long-term role of AI apps in customer acquisition remains uncertain, early entrants have an opportunity to observe how people engage with conversational AI, refine the consumer experience accordingly, and build capabilities before competitors. Zooming out: One open question is whether consumers will actually discover the LendingTree app. ChatGPT apps are found primarily through OpenAI's app directory or developer-shared links, though OpenAI has said it's testing ways to surface relevant apps automatically during conversations. Until app discoverability improves, LendingTree will need to rely on its own marketing channels to drive awareness of its ChatGPT app - making this as much a customer acquisition experiment as an AI product launch. Recommendations for financial providers: Financial institutions (FIs) should view ChatGPT apps as one component of a broader AI visibility strategy. AI experiences should be paired with coordinated marketing campaigns - including email, owned digital channels, social media, PR, and search - to educate consumers on where and how to access them. FIs should also optimize their content for AI discovery by making product information, educational content, calculators, and rate information easy for AI assistants to access and surface when consumers ask financial questions. Together, these efforts can help FIs reach consumers earlier in the decision-making process. This content is part of EMARKETER's subscription Briefings, where EMARKETER Inc. pair daily updates with data and analysis from forecasts and research reports. Its Briefings prepare you to start your day informed, to provide critical insights in an important meeting, and to understand the context of what's happening in your industry. Non-clients can click here to get a demo of its full platform and coverage. You've read 1 of 2 free articles this month. Get more articles - create your free account today!

PR Newswire
Aug 4th, 2026
LendingTree launches ChatGPT plug-in for mortgage shopping, potentially saving borrowers $62,572

LendingTree has launched a ChatGPT plug-in that allows consumers to explore mortgage and refinance rates through conversational AI. Users can share details such as estimated credit score, state, and loan amount to instantly see how these factors affect available rates, then continue to LendingTree.com for personalised offers from its network of over 430 lenders. A recent LendingTree analysis found that borrowers who shop around could save an average of $62,572 over the life of a 30-year fixed-rate mortgage. Chief Executive Officer Scott Peyree said the plug-in meets consumers where they research financial decisions, making it easier to compare options from the beginning of the homebuying journey. The plug-in does not provide lender-specific quotes or financial advice within ChatGPT.

Yahoo Finance
Jul 30th, 2026
LendingTree Q2 insurance revenue jumps 42% YoY, small-business lending slows outlook

LendingTree reported second-quarter 2026 results led by insurance growth, whilst small-business lending weakness prompted a cautious outlook. Insurance revenue rose 42% year over year and segment profit increased 25%. Companywide adjusted EBITDA grew 11%, reaching 40% of variable marketing margin. President and CEO Scott Peyree said softer borrower sentiment, fewer loan applications and smaller loan amounts pressured the consumer segment. Management views the slowdown as temporary but does not assume a full recovery in current guidance. LendingTree generated approximately $80 million in annual free cash flow and reduced net leverage to 1.9 times from 3.0 times a year earlier. The company is considering debt repayment, share buybacks and acquisitions. AI tools helped contain operating expenses, which remained flat year over year.

Yahoo Finance
Jul 29th, 2026
LendingTree misses Q2 revenue estimates as stock drops, cuts full-year guidance to $1.31B

LendingTree missed Wall Street's revenue expectations in Q2 2026, reporting $313.4 million against estimates of $315.6 million, despite 25.3% year-on-year growth. The financial marketplace platform's GAAP profit of $0.68 per share fell 28.4% below analyst consensus. The company's next quarter revenue guidance of $330 million came in 2% below expectations. LendingTree lowered its full-year revenue guidance to $1.31 billion from $1.33 billion, a 1.1% decrease. Full-year EBITDA guidance of $148.5 million also missed analyst estimates of $157.9 million. Operating margin declined to 7% from 8.4% in the same quarter last year. Analysts expect revenue to grow 7.8% over the next 12 months, decelerating from the company's three-year compound annual growth rate of 15.5%.