Jobs at ZipRecruiter

Manage day-to-day People Operations tasks: HRIS data entry and audits, Tier 1 employee support, HR tech troubleshooting, compliance and regulatory reporting support, I-9 and immigration transaction support, and administration of recognition programs following SOPs.

Design and implement scalable data systems, models, and AI-powered tooling. Own data modeling, CI/CD, testing, and observability. Partner with RevOps, Decision Science, Product, and Engineering to embed analytics and mentor teammates to raise engineering standards for data.

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.

The People Business Partner III will support Tech and Product organizations by influencing decisions on people strategies, leading organizational design, coaching leaders, and driving accountability across teams while managing complex employee relations and performance issues.

The Senior Revenue Operations Business Analyst connects business needs with Salesforce solutions, leads system implementations, conducts gap analysis, and facilitates Agile ceremonies to improve user experience and process efficiencies.

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 Publisher Operations Coordinator focuses on publisher onboarding, compliance, and technical support, managing integrations and inquiries to ensure operational success.

The Acquisition Account Executive will acquire new subscribers, conduct demos, manage trials, and drive revenue through prospecting and client relationship management.

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

Drive new business and revenue growth for enterprise staffing accounts by prospecting, negotiating contracts, conducting demos, building executive relationships, managing and expanding existing accounts, meeting quotas, cold calling, and traveling up to 50%.

The Sales Engineer acts as a strategic partner to Enterprise sales teams, focusing on accelerating revenue growth by engaging with senior client stakeholders, crafting compelling narratives, and supporting account and sales strategies.

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

The Enterprise Account Executive will drive new business sales in large enterprises, utilizing strategic selling skills, building relationships, and achieving quotas.

The Director of Product Management will drive user acquisition and improve job discovery experiences through strategic leadership and collaboration with teams, focusing on AI-driven product features.

As a Software Engineer III, you will design, develop, and scale backend services, lead legacy service migration to a modern architecture, and ensure services are resilient and highly available.

As a Decision Scientist II, you will analyze mobile app performance, define KPIs, design experiments, and provide insights to enhance user experience and product strategy.

The role involves building tools for business operations, managing NetSuite customizations, collaborating on technical solutions, and using AI tools for development.

Lead a software engineering team, ensuring code quality and high morale, while collaborating with product managers and innovating solutions.

Lead and scale enterprise sales for ZipRecruiter by driving account expansion, owning segment strategy, coaching managers and sellers, structuring complex deals, improving operational playbooks, and partnering cross-functionally to influence product and reduce churn while growing revenue and margin.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.