Product Engineer

Artemis•New York, NY

30d•$180,000 - $250,000

About The Position

Artemis is hiring a Product Engineer to build its customer-facing cybersecurity portal. The role combines technical excellence with a focus on product experience, turning complex security data into intuitive, AI-native interfaces that help security analysts make decisions quickly. The engineer will partner with product managers, designers, customers, security engineers, and AI/ML researchers, and will work across the stack, primarily using TypeScript and React on the front end and Python and Go on the back end. The position is suited to an engineer who enjoys shipping at high velocity and cares deeply about user experience.

Requirements

Founded or co-founded a technology company and built the product.
At least 4 years of professional experience building full-stack web applications.
Experience building, shipping, and maintaining user-facing products at scale.
Expertise in React, TypeScript, and CSS.
Proficiency in back-end development with Python and/or Go.
Experience designing REST or GraphQL APIs.
Familiarity with relational and NoSQL databases and cloud services such as AWS, GCP, or Azure.
Product and design intuition, including the ability to empathize with users, make design trade-offs, and contribute to product strategy.
Excellent collaboration and communication skills, including the ability to explain technical concepts to non-engineers.

Nice To Haves

Background in cybersecurity, observability, or large-scale analytics systems.

Responsibilities

Ship core product features across the stack, including React components, design-system primitives, Python and Go back-end services, and APIs; own features from concept through deployment.
Bring product thinking to engineering by evaluating why features matter, how they support the product vision, and how to measure their success.
Contribute engineering insights to help shape the product.
Optimize performance and responsiveness so the portal remains fast when displaying large amounts of data.
Use and advocate for AI-powered engineering practices to improve development velocity.
Collaborate with security engineers, AI/ML researchers, product designers, product managers, and customers to deliver product capabilities and user experiences.