Engineering Manager, Detection

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Intuition Machines

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Intuition Machines is a leader in machine intelligence, specializing in privacy-preserving AI platforms and research. The company provides AI/ML products and services to some of the largest online services worldwide, focusing on scaling and solving complex problems using machine learning. Intuition Machines develops innovative solutions like the hCaptcha Security Suite, which is used by enterprises globally to protect hundreds of millions of people with its privacy-first approach to security AI. The firm's offerings include the IM Perception Platform, which automates the train-deploy-improve cycle with a focus on active learning and robust APIs. Additionally, Intuition Machines engages in cutting-edge AI/ML research, contributing to advances in security machine learning, fraud detection, and data privacy. The company also collaborates with top online payment processors, offering models with high precision and almost zero false positives, without using personally identifiable information. Notably, Cloudflare has chosen Intuition Machines' hCaptcha Enterprise for securing a significant portion of internet sites.

📋 Description

• Manage, grow and support a team of experienced engineers responsible for applications, tools and infrastructure that drive our security products. • Work closely with engineers, scientists, stakeholders and other domain experts to come up with and execute on unique solutions that contribute to detection and mitigation of fraud and automation. • Mentor and guide engineers to grow in skill and knowledge, allowing them to make the best decisions given the right tools and context. • Participate in code and architecture design, contribute to feature development and maintain high quality standards via peer reviews and mentorship.

🎯 Requirements

• 8+ years of professional experience in software engineering • 2+ years of leading or managing engineering teams • Extensive experience with Typescript or Python, familiarity with other languages like Rust, Go, or C++ • Understanding of distributed systems and scaled operations, ideally in the context of having built applications that scale to handle millions of requests per second. • Familiarity with Kubernetes and Docker • Demonstrated leadership skills in building a high-performing and highly engaged engineering team, preferably in geo-distributed orgs. • Nice to Haves: • - Experience working with edge workers (Cloudflare Workers, Fastly Edge Compute or Akamai Serverless Compute) • - Production level applications with Rust and or Golang

🏖️ Benefits

• Fully remote position with flexible working hours. • An inspiring team of colleagues spread all over the world. • Serious impact: very few organizations run at our scale. • Pleasant, modern continuous development and deployment workflows: ship early, ship often. • High impact: lots of users, happy customers, high growth, and cutting edge R&D. • Flat organization, direct interaction with customer teams and high product influence.