Jobs / United States / Adyen N V
Engineering Manager, Machine Learning - Personalize Intelligence
Adyen N V · 🇺🇸 Chicago
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 30 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 5 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 Adyen N V paid sponsored hires in similar roles2 certified filings for “Engineering Lead” (Computer and Information Systems Managers) in IL: $203k–$203k, median $203k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 — Adyen N V
The US Department of Labor certified 30 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 5 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 Adyen N V →
About the role
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Opportunity We’re looking for an enthusiastic, self-driven Engineering Manager to lead the Personalize Intelligence team. You will lead the team that develops and owns the machine-learning behind Adyen Checkout optimization: our real-time, decision engine that helps merchants to increase their shopper conversion rate to boost seamless checkout experience. It is also the cornerstone of Adyen Uplift, a powerful AI product suite to optimize holistically for conversion, fraud and cost that is used by many of Adyen’s customers today. As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of machine learning scientists and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration. As a critical role in the continued success of our organization, you will help to iterate our culture and build an amazing team environment that will create future leaders for Adyen. What You'll Do: • Lead the Personalize Intelligence team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance. • Work cross-functionally with Design, Product, Data Engineers, Machine Learning Engineers, Developers and other key stakeholders. • Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions. • Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact. • Collaborate with different teams to design and implement new services with reliability/infra/data/dev in mind. • Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager. • Create an inspiring and collaborative team environment with an open communication/feedback culture. • Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact. • Recruit new team members who align with the Adyen culture and required skills. Who You Are: • You have affinity to the Shopper and Checkout optimization domain. • You have proven experience working with, and deep understanding of machine learning products. • You are an energetic self-starter experienced in creating alignment between multiple teams. • You are able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems. • You have experience in coaching and mentoring engineering talent. • You have experience in leading technical projects in a fast paced and critical environment. • You have experience collaborating with senior leadership to set strategic direction including product roadmaps. • You are an excellent communicator and team player who can inspire others around them. • You can clearly communicate technical concepts to non-engineers. Minimum Qualifications • 2+ years experience in managing machine learning eng