Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads and develops an Enterprise Decision Science team while personally conducting strategic analyses. Establishes analytical standards, evaluates product and go-to-market initiatives using experiments and quasi-experimental methods, and makes recommendations from limited quantitative and qualitative data. Partners with Product, Engineering, Sales, Rev Ops, Customer Success, and leadership to prioritize analytical work, measure business impact, and communicate findings clearly.

Partners with product, engineering, and design teams to optimize mobile acquisition, engagement, and retention. Defines KPIs, builds dashboards, analyzes large datasets, designs experiments, applies causal inference, and translates findings into product strategy. Communicates insights through visualizations, documentation, and presentations to stakeholders and executives.

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.