Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great…
IT Support Technician serving as the first point of contact for all IT issues at ZipRecruiter — troubleshooting hardware, software, and network problems, provisioning SaaS accounts, running onboarding sessions, and supporting a 1000-person remote-first workforce. Requires 5 days/week onsite in Santa Monica with Windows/macOS, Wi-Fi/VPN, and Google Workspace/Slack skills.
Owns product for ZipRecruiter's job seeker profile and apply flow — deciding what to ask job seekers, keeping profile data accurate, and driving conversion from job click to completed, high-quality application. Works across employer product, trust & safety, matching, and mobile teams using experimentation, analytics, user research, and ML-powered features.
Lead Product Manager at ZipRecruiter owning the job seeker profile and the apply flow: deciding what the marketplace learns about seekers, removing friction from job click to completed application, and improving application quality for employers. The role centers on experimentation, deep analytics, stakeholder alignment, and ML-powered consumer product work.
Senior Product Manager who owns ZipRecruiter's employer-facing applicant tracking system (ATS) and employer mobile app. Day to day they set KPIs, run rapid experiments, analyze funnels/conversion data, and do user research to raise employer review and response rates, partnering closely with engineering, design, and decision science.
A 12-16 week summer software engineering internship at ZipRecruiter's Santa Monica office. The intern works on sprint tasks plus a project building scalable, user-facing marketplace applications deployed to Kubernetes, with a focus on one of Big Data, Full Stack, or Machine Learning.
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
Staff-level machine learning engineer at ZipRecruiter who designs, builds, and leads advanced ML projects (e.g., salary prediction) over massive datasets of job postings and job-seeker events, while owning ML system architecture, data pipelines, and mentoring other ML engineers. Core work spans ML algorithms, experimentation, and frameworks like TensorFlow, PyTorch, and scikit-learn.
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