Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead full-cycle executive recruiting for Director through C-suite roles across technical and non-technical functions. Manage Legal and Finance recruiting at all levels, advise senior leaders on talent markets and compensation, build diverse executive pipelines, negotiate complex offers and equity packages, and provide market intelligence across EdTech, SaaS, and technology sectors.

Leads complex, cross-functional initiatives spanning software, digital content, service design, and physical materials. Owns critical paths, launch readiness, risk mitigation, resource planning, project rituals, vendor performance, and stakeholder communication. Uses Agile/Scrum and Waterfall/Stage-Gate methods, project dashboards, metrics, and process improvements to coordinate teams and deliver high-quality products on schedule.

Partner with People Tech, People Operations, and Finance to define Workday HCM requirements, write user stories and acceptance criteria, lead UAT and Workday upgrades, improve HR/payroll processes and data integrity, troubleshoot integrations, and manage backlog and change control to support the employee lifecycle and compliance.

Partner with the Chief Academic Officer to drive APEX operations and high-priority cross-functional projects. Coordinate quarterly goal-setting, manage team rhythms, surface risks, support CAO deliverables and meetings, and represent Amplify externally at conferences. Foster collaboration across product teams and strengthen pedagogical excellence and thought leadership.

Lead enterprise business systems (NetSuite, Salesforce, Workday, Boomi) strategy and delivery. Architect integrations and AI/ML workflows, manage delivery teams and vendors, improve SDLC, ensure data alignment with analytics, and drive automation to increase operational efficiency and measurable ROI.

Develop and deploy machine learning models for demand forecasting and inventory optimization; conduct advanced time-series analysis; collaborate with analytics engineers and data analysts to build end-to-end data products; translate analysis into actionable recommendations for supply chain; promote data science best practices and mentor the team.