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…
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.
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.
Senior Product Manager who owns ZipRecruiter's entire job-seeker messaging channel — the email and push notification portfolio that drives millions of job applications. Day to day they set message strategy and frequency, balance volume against retention, run A/B experiments, partner with ML/data science on ranking, and protect deliverability and compliance.
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
Senior machine learning engineer at ZipRecruiter who designs, builds, and maintains ML models over huge job-market data (e.g., predicting salaries for job postings), including data cleaning, model evaluation, and hyperparameter/feature tuning. Core tech: ML algorithms, TensorFlow/PyTorch/scikit-learn, deep learning architectures, and NLP libraries like NLTK, SpaCy, and BERT.
Senior Product Manager on ZipRecruiter's SMB team, owning vision, roadmap, and metrics for employer-facing products (Candidate Delivery or Proactive Sourcing). Partners with engineering, design, and data science to build AI/ML-powered, data-driven B2B experiences for small and medium businesses.
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