Jobs at ZipRecruiter

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.

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

Provide front-desk and office operations support for ZipRecruiter’s Santa Monica office, managing access, supplies, mail, catering, meeting setup, event logistics, and visitor coordination. Serve employees both in-person and virtually, triage related inquiries, and support workplace programs and team-building activities.

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.

Lead full lifecycle technical recruiting for engineering teams: source passive candidates, manage 10–15+ complex requisitions, improve recruiting processes with data and AI tools, build hiring playbooks and assessments, mentor TA peers, partner with engineering and compensation to close offers, and drive metrics like time-to-hire and offer acceptance.

Lead a distributed IT support team for 800+ employees, manage ticketing and Jira workspaces, own procurement and asset lifecycle, maintain AV/Zoom Rooms, collaborate on onboarding/offboarding, drive process improvements, documentation and training, and provide occasional onsite support and second-line escalation.

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.

Lead product vision and execution for SMB employer-focused product areas (Candidate Delivery or Proactive Sourcing). Partner with Engineering, Design, Data Science, and GTM to define roadmap, KPIs, pricing, and user research. Build AI-driven, marketplace-balanced experiences that improve employer outcomes and drive revenue growth.

Lead Product Manager responsible for driving SMB employer acquisition and growth. Own strategy, roadmap, and experiments to increase new paying employers and reactivation. Partner with Engineering, Design, Data Science, Marketing, and Sales to build AI-driven, scalable product experiences, conduct user research, and ensure marketplace balance between employers and job seekers.

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.

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.

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

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.

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.

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%.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.