Jobs / United States / Lendingtree LLC
Director of Engineering
Lendingtree LLC · 🇺🇸 Charlotte, NC, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 8 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Lendingtree LLC paid sponsored hires in similar roles2 certified filings for “Manager, Test Engineering” (Computer and Information Systems Managers) in NC: $155k–$185k, median $170k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Lendingtree LLC
The US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 8 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Lendingtree LLC →
About the role
*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 pa