Top Tech Jobs & Startup Jobs

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.

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.

Leads Revenue Operations technology initiatives centered on Salesforce. Translates business needs into requirements and system designs, conducts process improvement and gap analysis, manages Agile ceremonies and Jira reporting, supports Salesforce enhancements and testing, develops dashboards, audits data integrity, and coordinates stakeholders across business, Product, and Engineering teams.

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.

Inside Sales role focused on up-selling existing accounts through outbound calls and maintaining customer satisfaction while analyzing labor market trends.

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.