SEON Offices

SEON is headquartered in Budapest and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week

U.S. Office Locations

Global Office Locations

HQ
Budapest

Budapest HU Headquarters

Founded in Budapest, our global HQ sits on Rákóczi út in the heart of Budapest's vibrant 7th district — surrounded by grand architecture, buzzing café culture, ruin bars, and a thriving tech ecosystem that has made Budapest one of Europe's most exciting startup hubs!

Austin

Austin TX Headquarters

Located in Bond Collective on Comal Street, our East Austin office puts you in the heart of one of Austin's most energetic neighborhoods. Enjoy walkable cafés, local tacos, live music, and a buzzing tech scene — all just minutes from downtown Austin!

Recently posted jobs

5 Days AgoSaved
Remote
US
Artificial Intelligence • Cybersecurity
Own SEON’s global WordPress platform, including custom Gutenberg blocks, themes, plugins, deployments, security, performance, upgrades, integrations, multilingual functionality, technical SEO, accessibility, testing, and recovery processes. Collaborate with Marketing, Design, SEO, agencies, and stakeholders to deliver scalable solutions, establish engineering standards, and proactively improve the reliability and performance of the business-critical website.
6 Days AgoSaved
Remote
27 Locations
Artificial Intelligence • Cybersecurity
Secure SEON’s cloud-based fraud-prevention platform through IAM hardening, infrastructure guardrails, detection engineering, incident response, vulnerability remediation, and threat modeling. Lead ISO 27001, ISO 42001, SOC 2, and PCI DSS assurance programs; automate evidence collection and access reviews; manage customer questionnaires, vendor reviews, policies, risk registers, and regulatory obligations.
10 Days AgoSaved
In-Office
Budapest, HUN
Artificial Intelligence • Cybersecurity
Lead AML search-quality modeling and experimentation, improving fuzzy name matching across sanctions, PEP, and adverse media data. Build evaluation datasets and metrics, deploy and monitor production models, manage drift and incidents, investigate customer matching issues, and balance accuracy with performance and cost. Collaborate cross-functionally with Product, Engineering, QA, DevOps, and Customer Success while mentoring teammates and advancing data science practices.