Staff Software Engineer, Developer Productivity
WebflowFull Time
Expert & Leadership (9+ years)
Candidates should have a proven track record of technical leadership in enabling teams to move faster and deliver higher quality through developer tooling and infrastructure improvements. Experience with architecting scalable pipelines, low-latency infrastructure, and testing platforms, preferably using AWS services, is required. Familiarity with AI systems, CI/CD pipelines, and JavaScript is also necessary.
The Staff Engineer will design and build developer tools, frameworks, and infrastructure to enable rapid software development and AI feature iteration. They will architect scalable pipelines, low-latency infrastructure, and testing platforms, while leading technical decisions around AI tooling and developer workflows. Responsibilities include ensuring developer-friendly local environments, establishing CI/CD pipelines for AI workloads, designing monitoring and debugging tools for AI systems, and building automation to accelerate feature delivery. The role also involves identifying and eliminating development friction points, optimizing workflows, creating self-service tools, implementing metrics for team velocity and code quality, and mentoring engineers on AI best practices and tooling.
Product research platform for agile teams
Maze is a product research platform that assists agile teams in quickly testing and gathering user insights to enhance their design and development processes. The platform allows product managers, designers, and researchers to consolidate their research efforts into one easy-to-use interface. Users can import prototypes from popular design tools like Figma and Sketch with a single click, enabling them to conduct usability tests on high-fidelity designs. Maze supports testing multiple design variants in one study, which helps teams make informed decisions based on real user feedback rather than intuition. The company operates on a subscription-based model, offering various pricing plans to accommodate different team sizes. Maze's goal is to empower product teams to create user-centric products by providing fast and continuous feedback, ultimately driving business growth and improving user satisfaction.