Jobs at ZipRecruiter

Own ZipRecruiter’s job seeker profile and application experience. Set funnel KPIs, improve profile completeness and application conversion, reduce user friction, and ensure employers receive high-quality applications. Lead cross-functional collaboration across product, engineering, trust and safety, legal, mobile, matching, messaging, and employer teams. Use experimentation, analytics, user research, and AI/ML product expertise to improve the marketplace experience.

Own the job seeker profile and application experience at ZipRecruiter. Lead product strategy, funnel KPIs, experimentation, user research, and conversion optimization across high-volume consumer flows. Collaborate with employer product, engineering, trust and safety, legal, matching, mobile, and messaging teams. Improve profile quality, application completion, employer application outcomes, and marketplace health using analytical decision-making and AI/ML-powered product capabilities.

Own the employer applicant tracking system experience for SMB customers, improving employer review and response rates. Lead product strategy, KPI ownership, experimentation, user research, and development of the employer mobile app from roadmap through launch. Partner with engineering, design, decision science, and job-seeker product teams to deliver data-driven, AI-enabled experiences and improve marketplace outcomes.

Full-cycle new business sales role focused on prospecting, cold calling/emailing, demoing the ZipRecruiter platform, managing free trials into paid accounts, building pipeline, meeting monthly new-business quotas, and sharing best practices with peers. High-activity role with defined call/email targets and a 30-45 day sales cycle.

Build and maintain scalable, user-facing applications throughout the full software development lifecycle. Responsibilities include designing, coding, testing, instrumenting, and deploying high-quality software to Kubernetes, developing business and systems expertise, and contributing to product innovation. Engineers may specialize in Big Data, Full Stack, or Machine Learning while supporting ZipRecruiter’s marketplace.

Software engineering interns will contribute to user-facing applications at scale across the full development lifecycle, including design, implementation, testing, instrumentation, and deployment to Kubernetes. Interns will work on sprint assignments and a scalable project while developing expertise in Big Data, Full Stack, or Machine Learning. The role requires in-person work at the Santa Monica office during a 12–16 week summer program.

Serves as a strategic People Business Partner for Engineering and Product organizations, advising senior leaders on organizational design, workforce planning, performance, talent, employee relations, and organizational change. The role leads people strategies, coaches executives, uses data to inform decisions, drives scalable HR solutions, and partners cross-functionally on talent acquisition, development, compensation, and people operations.

Design and implement scalable BI data systems, models, and AI-powered tooling. Translate business questions into reliable datasets, optimize warehouses and queries, apply software engineering practices, partner with product and engineering teams, and mentor teammates. Process large-scale data using modern cloud platforms and technologies such as Spark, Databricks, and Kubernetes.

Own ZipRecruiter’s job seeker messaging product across email and push channels. Set portfolio strategy, optimize message selection and frequency, analyze KPIs, run experiments, and balance engagement with trust and retention. Partner with engineering, data science, matching, marketplace, and employer product teams. Lead deliverability, compliance, sender reputation, and opt-in systems while using machine learning, ranking, and recommendation models to improve outcomes.

Own ZipRecruiter’s job seeker messaging product across email and push notifications. Set portfolio strategy, optimize message selection and frequency, manage experiments, and improve activation, retention, applications, revenue, deliverability, compliance, and sender reputation. Partner with engineering, data science, machine learning, marketplace, and employer-facing teams while conducting user research and representing job seekers.

Leads ZipRecruiter’s Marketplace Decision Science team as a player-coach, managing and developing decision scientists while personally conducting high-impact analyses. Owns marketplace quality metrics, experimentation standards, tradeoff frameworks, forecasting, and ROI modeling. Partners with Product, Engineering, Finance, and GTM leaders to shape strategy, evaluate ranking changes, quantify long-term impact, and communicate insights to executives. Requires strong product analytics, data science, experimentation, business, and people-management experience.

Lead design and management of sales commission plans and quarterly goal-setting. Perform ROI and data-driven analysis to align incentives with profitable growth. Advise executives, partner with cross-functional teams on product launches, and champion initiatives to improve incentive effectiveness.

Own the vision, strategy, roadmap, and execution for an SMB product area focused on candidate delivery or proactive sourcing. Lead cross-functional collaboration with Engineering, Design, Data Science, and go-to-market teams; define KPIs, pricing, packaging, and positioning; conduct user research; analyze metrics; build AI-powered experiences; and optimize the two-sided marketplace to improve employer outcomes and business growth.

Lead the strategy, architecture, and production delivery of large-scale machine learning systems for recommendations, matching, ranking, retrieval, and interaction prediction. Own the full model lifecycle from research and feature engineering through distributed training, experimentation, evaluation, and latency optimization. Mentor machine learning engineers and data scientists, establish organizational best practices, and partner with engineering and product leadership on the ML roadmap.

Lead design, development, and deployment of advanced machine learning models and infrastructure. Own architecture, data pipelines, experimentation, validation, and team technical leadership to drive AI-driven product features and business value.

Senior Software Engineers will build data processing pipelines and deploy cloud technologies, focusing on big data and machine learning infrastructure. They are expected to write and deploy efficient code within a Kubernetes environment.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

Design and develop scalable user-facing web applications; improve engineering practices and collaborate with technical and non-technical stakeholders; engage with cross-functional teams.

Lead and coach a software engineering team owning mission, execution, code quality, and morale. Partner with product managers on roadmaps, remove roadblocks, improve processes, and drive innovation across high-traffic full-stack and data applications.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.