Top Tech Jobs & Startup Jobs in Los Angeles, CA

As a Senior Software Engineer at Quokka, you will develop software for automated analysis of mobile applications, lead implementation decisions, architect solutions for stability and scale, and mentor junior engineers, contributing to mobile security innovations.

Canvs AI is seeking a Product Marketing Manager to develop and execute marketing strategies for their AI insights platform, working closely with product management, sales, and customer success teams. The role involves creating sales collateral, analyzing market trends, and generating engaging content to attract customers. Ideal candidates have a background in B2B tech product marketing, strong communication skills, and a passion for AI.

BuzzFeed is looking for a Video Editor to join the Post-Production team on a project-based capacity for BuzzFeed Celeb channel, with a focus on Asian pop culture content. Fluent in Korean is a must.

The Senior Manager of Statistical Programming at Immunovant is responsible for programming and statistical analyses of clinical trial data, contributing to the interpretation and reporting of results, managing CRO relationships, validating outputs, and maintaining the SAS macro library and safety database.

The Lead Software Engineer will design, code, and troubleshoot features for Instnt’s financial technology product, focusing on API and backend services. Responsibilities include mentoring engineers, collaborating with other teams, and ensuring software quality and security while keeping up with tech advancements.

As a Senior Customer Success Manager, you will be a trusted advisor for existing gaming clients, responsible for enhancing customer experience, managing customer relationships, and driving account growth. You'll advocate for customers, oversee onboarding, and improve Customer Success processes, while collaborating closely with various teams to understand and meet customer needs.

The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.