LYNX
AI platform for investigating and resolving engineering incidents
Company facts
- Founded
- 2023
- Employees
- 5
- Headquarters
- United States
- Type
- Government
About
Lynx is an AI platform that investigates and resolves engineering issues directly in your environment, from data anomalies to production outages. When incidents arise, Lynx will automatically gather information, pinpoint root causes, and execute solutions. Lynx makes incident resolution faster and more reliable, so teams can minimize downtime and focus on building.
Open positions
Marketing Manager
ABOUT LYNX At Lynx Financial Crime Tech S.A. , we are an AI-based software company specialized in detecting and predicting behavioral patterns. Led by an expert team from the financial and academic sectors, we develop…
Sales Executive
SOBRE A LYNX Na Lynx Financial Crime Tech S.A. , somos uma empresa de software baseada em IA, especializada em detectar e prever padrões de comportamento. Liderada por uma equipe especializada dos setores financeiro e…
Product Manager (AML)
Product Manager for Lynx's AI-based anti-money-laundering (AML) platform, based in Madrid on a hybrid model. Day to day they run discovery with customers, prioritize the backlog, write epics/user stories and acceptance criteria, and work with engineers, designers and AML experts to ship KYC, transaction monitoring and screening features that meet regulatory requirements.
Product Manager (Fraud Prevention)
Product Manager for Lynx's fraud prevention/AML platform, based in Madrid (hybrid): shapes product strategy and roadmap, owns and prioritizes the backlog, writes epics/user stories, and works daily with developers, designers, and clients. Requires 3+ years as PM/PO in B2B SaaS, agile experience, and fluent Spanish and English.
Engineering Manager
Engineering Manager at Lynx (Madrid, 50% hybrid) leading one or more engineering teams building AI-based fraud prevention and AML software for financial institutions. The role focuses on people growth, autonomous domain teams, predictable delivery, and technical health, with a stack context of AWS, Docker, and Python.