Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, build, and lead scalable API and platform features. Mentor junior engineers and drive technical initiatives from design to delivery.

As a Senior Backend Engineer, you will design and deliver complex systems, ensuring reliability, security, and performance while mentoring junior engineers and collaborating across teams.

The Supervisor of Referral Response manages and leads a team ensuring optimal organ referral processes, staff recruitment, training, and performance improvement while collaborating with healthcare professionals and adhering to operational standards.

As Measurement Lead, you will manage high-stakes customer discussions about campaign results, write SQL for data analysis, build dashboards, and collaborate with various teams to enhance Kard's measurement approach.

Lead FP&A analysis and reporting for ARR and billings, reconcile ARR to recurring revenue, validate billings detail for forecasts, present KPIs, analyze NRR/GRR, partner with Accounting and business leaders, and drive process improvements.

As a Technical Support Engineer, you will troubleshoot complex technical issues for customers using the HiddenLayer AISec Platform, partner with internal teams, and improve documentation and processes.

As a Staff Front End Engineer, you will lead the front end vision, drive architecture decisions, and mentor engineers while developing high-impact web applications in a collaborative environment.

The Global Accounts Director will drive new client acquisition, expand relationships with existing customers, and manage complex enterprise sales cycles, focusing on SaaS solutions for large enterprises.

Manage and grow relationships with national wireless retailers, drive sales and margin, deliver virtual trainings and 1:1s, use CRM and MS Office for reporting and accountability, and support adoption of the companys lease-to-own technology. Travel up to 10%.

Lead and scale a production-focused data science practice: define engineering standards, build reusable Python frameworks, drive end-to-end model development and monitoring, collaborate with Data Engineering/MLOps/analytics and business partners, mentor team members, and establish measurement, documentation, and prioritization disciplines to ensure models deliver business impact across Claims, Underwriting, Risk, and Distribution.