Engineering Manager (Bots & Fraud)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid in Austin, TX; Washington, D.C.; or New York City, United States. Offer-stage candidates may be asked to attend an in-person interview at a office or hub.
Estimated annual salary for Washington, D.C. and New York City hires: $190,000–$261,000 USD; compensation may vary by work location. The role is eligible for equity.
Company
operates a global network that protects and accelerates Internet applications through performance, security, traffic management, and privacy-focused products.
What you will do
- Lead, hire, mentor, and grow an engineering team building bot management, fraud detection, and abuse mitigation products.
- Partner with Product Management to shape and deliver an incremental engineering roadmap balancing capabilities, reliability, performance, and maintainability.
- Provide technical leadership for scalable distributed services, product integrations, APIs, real-time systems, and analytics.
- Turn detection and research signals into actionable analytics and configurable customer controls while balancing security, privacy, and user experience.
- Improve customer outcomes using feedback and production data, and drive cross-team execution by resolving dependencies and recurring product problems.
- Own operational health through observability, safe releases, incident response, and continuous service improvements.
Requirements
- Track record of leading engineering teams, including hiring, onboarding, coaching, feedback, and career development.
- Strong software engineering foundation with experience designing, building, and operating large-scale distributed systems and services.
- Experience taking projects from inception to production and overseeing execution in a fast-paced, iterative environment.
- Ability to connect business goals with technical decisions, explain tradeoffs, and make decisions under uncertainty.
- Ability to collaborate across Product, Engineering, customer-facing functions, and senior leadership, adapting technical communication to the audience.
- Fluent use of AI in engineering workflows, with judgment about where it accelerates work and where it falls short.
- Curiosity about web security, bot management, fraud and abuse, and AI agents on the Internet; exact familiarity with ’s stack is not required.
Nice to have
- Experience building bot management, fraud detection, application security, or other products making decisions in adversarial environments.
- Familiarity with HTTP, browser technologies, JavaScript, and security, privacy, and user-experience tradeoffs.
- Experience integrating machine learning models into production or partnering with data science and machine learning teams.
- Experience with high-volume data pipelines, analytics services, or columnar databases such as ClickHouse.
- Experience with Go, Rust, Python, Kafka, Kubernetes, or PostgreSQL.
Culture & Benefits
- Iterative, ownership-oriented engineering culture focused on curiosity, technical excellence, and using AI as an engineering partner.
- U.S. employee benefits include medical, dental, vision, flexible spending, commuter, family-forming, mental health, and travel medical programs.
- Financial benefits include disability, life and accident insurance, a 401(k) retirement savings plan, and employee stock participation.
- Flexible paid time off covering vacation and sick leave, plus parental, pregnancy, medical, and bereavement leave programs.
- supports Internet safety and access through initiatives including Project Galileo, the Athenian Project, and 1.1.1.1.
Hiring process
- Applicants progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
- Offers may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.
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