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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 strategy and execution of employer growth initiatives focused on new SMB employer acquisition, reactivation, and partnerships. Lead the product roadmap, growth experimentation, metrics, product discovery, user research, and AI-powered experiences. Partner with Engineering, Design, Data Science, Marketing, Sales, and job-seeker product teams to improve the employer acquisition journey, support product-led growth, and strengthen marketplace outcomes.

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.

Provides high-level support to C-level executives by managing complex calendars, travel, sensitive information, and competing priorities. Leads and develops a team of two Executive Administrative Partners, overseeing workload, quality, onboarding, and performance. Establishes executive support standards, improves processes, manages high-visibility events, and operates independently with sound judgment. The role requires on-site work in Santa Monica four days per week.

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.

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 role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

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.